Assessment and Evaluation of Advanced Solid Waste ... · i Assessment and Evaluation of Advanced...
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Assessment and Evaluation of Advanced Solid Waste Management
Technologies for Improved Recycling Rates
February 2016
Nurcin Celik
University of Miami, Coral Gables, FL, USA
Department of Industrial Engineering
And
Duygu Yasar and Mehrad Bastani
University of Miami, Coral Gables, FL, USA
Department of Industrial Engineering
Hinkley Center for Solid and Hazardous Waste Management University of Florida
P. O. Box 116016
Gainesville, FL 32611
www.hinkleycenter.org
Report # 10387
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TABLE OF CONTENTS
LIST OF FIGURES ..................................................................................................................................... iv
LIST OF TABLES ........................................................................................................................................ v
LIST OF ACRONYMS .............................................................................................................................. vii
ABSTRACT .............................................................................................................................................. viiii
EXECUTIVE SUMMARY ......................................................................................................................... xi
RESEARCH TEAM .................................................................................................................................. xiv
DISSEMINATION ACTIVITIES .............................................................................................................. xv
INTRODUCTION ................................................................................................................................ 1
BACKGROUND AND LITERATURE REVIEW ............................................................................... 2
2.1 Biochemical Treatment Technologies........................................................................................... 4
2.1.1 Anaerobic Digestion ............................................................................................................. 5
2.1.2 Depolymerization .................................................................................................................. 5
2.1.3 Windrow Composting ........................................................................................................... 6
2.1.4 Static Pile Composting .......................................................................................................... 6
2.1.5 In-vessel Composting ............................................................................................................ 6
2.2 Advanced Thermal Solid Waste Management Technologies ....................................................... 6
2.2.1 Gasification ........................................................................................................................... 6
2.2.2 Plasma Arc Gasification ........................................................................................................ 7
2.2.3 Pyrolysis ................................................................................................................................ 7
2.3 Physical Technologies................................................................................................................... 8
DATA COLLECTION ......................................................................................................................... 8
3.1 Defining Criteria Set .................................................................................................................... 8
3.2 Contacting SMEs ....................................................................................................................... 11
3.3 Categorization of Counties.......................................................................................................... 11
3.3.1 Municipal Solid Waste Types in Floridian Counties .......................................................... 11
3.3.2 Floridian County Categories for AHP................................................................................. 12
3.4 Technology Data ........................................................................................................................... 15
METHODOLOGY ............................................................................................................................. 15
4.1 Analytical Hierarchy Process (AHP) .......................................................................................... 15
5. AHP RESULTS .................................................................................................................................. 16
5.1 Criteria Weights .......................................................................................................................... 16
5.2 Global Priorities of Technologies ............................................................................................... 20
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6. SENSITIVITY ANALYSIS ............................................................................................................... 22
7. CURRENT STATE OF WASTE MANAGEMENT IN FLORIDA .................................................. 24
7.1 Waste to Energy Facilities in Florida .......................................................................................... 25
7.2 Composting and AD Facilities .................................................................................................... 27
8. RECOMMENDATIONS .................................................................................................................... 29
8.1 Current Recycling Rates of Counties .......................................................................................... 29
8.2 Maximum and Minimum Capacities of Alternatives .................................................................. 30
9. LIMITATIONS AND CONCLUSION............................................................................................. 366
APPENDICES .......................................................................................................................................... 387
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LIST OF FIGURES
FIGURE 1. Pictures from events ......................................................................................................... xviivi
FIGURE 2. Management phases of a MSW landfill throughout life-cycle ................................................ 1
FIGURE 3. Traditional open loop (left) and advanced disposal landfills close loop cycles (right) ........... 3
FIGURE 4. Categorization of advanced solid waste management technologies ........................................ 4
FIGURE 5. Harvest’s Energy Garden in Central Florida ........................................................................... 5
FIGURE 6. AHP structure for ATSWMT evaluation ............................................................................... 10
FIGURE 7. AHP structure for ABSWM technology evaluation .............................................................. 10
FIGURE 8. Grouping process of Floridian counties ............................................................................... 133
FIGURE 9. Florida map displaying groups of counties .......................................................................... 144
FIGURE 10. Explanation of 1-9 Saaty Scale .......................................................................................... 166
FIGURE 11. Criteria weights for evaluation of ATSWMT .................................................................... 188
FIGURE 12. Overall inconsistency ratios (IR) (<<0.1) for evaluation of ATSWMT ............................ 188
FIGURE 13. Criteria weights for evaluation of ABSWMT ..................................................................... 20
FIGURE 14. Overall inconsistency ratios (IR) (<<0.1) for evaluation of ABSWMT .............................. 20
FIGURE 15. Global priorities of ATSWMT .......................................................................................... 211
FIGURE 16. Global priorities of ABSWMT .......................................................................................... 222
FIGURE 17. Sensitivity analysis results for ATSWMT ......................................................................... 233
FIGURE 18. Sensitivity analysis results for ABSWMT ......................................................................... 244
FIGURE 19. Palm Beach Renewable Energy Facility............................................................................ 276
FIGURE 20. Organic waste treatment facilities in Florida (Zimms and Ver Eecke, 2012) ................... 287
FIGURE 21. Okeechobee composting facility........................................................................................ 298
FIGURE 22. Counties with annually 400,000 tons or greater waste landfilled ...................................... 321
FIGURE 23. Groups of counties in the final recommendations ............................................................... 35
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LIST OF TABLES
TABLE 1. WTE facilities in Florida ......................................................................................................... 25
TABLE 2. AHP results and technology capacity interaction ................................................................... 29
TABLE 3. Recycling rates and waste generation of Floridian counties ................................................... 33
TABLE B.1. Consolidated matrix of Group 1 for criteria pairwise comparisons .................................... 39
TABLE B.2. Consolidated matrix of Group 2 for criteria pairwise comparisons .................................... 39
TABLE B.3. Consolidated matrix of Group 3 for criteria pairwise comparisons .................................... 40
TABLE B.4. Consolidated matrix of Group 4 for criteria pairwise comparisons .................................... 40
TABLE B.5. Consolidated matrix of Group 5 for criteria pairwise comparisons .................................... 41
TABLE B.6. Consolidated matrix of Group 6 for criteria pairwise comparisons .................................... 41
TABLE B.7. Consolidated matrix of Group 7 for criteria pairwise comparisons .................................... 42
TABLE B.8. Consolidated matrix of Group 8 for criteria pairwise comparisons .................................... 42
TABLE C.1. Consolidated matrix of Group 1 for criteria pairwise comparisons .................................... 43
TABLE C.2. Consolidated matrix of Group 2 for criteria pairwise comparisons .................................... 43
TABLE C.3. Consolidated matrix of Group 3 for criteria pairwise comparisons .................................... 43
TABLE C.4. Consolidated matrix of Group 4 for criteria pairwise comparisons .................................... 44
TABLE C.5. Consolidated matrix of Group 5 for criteria pairwise comparisons .................................... 44
TABLE C.6. Consolidated matrix of Group 6 for criteria pairwise comparisons .................................... 44
TABLE C.7. Consolidated matrix of Group 7 for criteria pairwise comparisons .................................... 44
TABLE C.8. Consolidated matrix of Group 8 for criteria pairwise comparisons .................................... 45
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LIST OF ACRONYMS
ABSWMT : Advanced biological solid waste management technologies
ATSWMT : Advanced thermal solid waste management technologies
ASWMT : Advanced solid waste management technologies
AIJ : Aggregation of individual judgments
AD : Anaerobic digestion
AHP : Analytical Hierarchy Process
C&D : Construction and demolition
FDEP : Florida Department of Environmental Protection
GHG : Greenhouse gas
IVC : In-vessel composting
MSW : Municipal solid waste
SWM : Solid waste management
SMEs : Subject matter experts
TPY : Tons per year
USEPA : United States Environmental Protection Agency
WTE : Waste-to-energy
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FINAL REPORT
(November 2014 - November 2015)
PROJECT TITLE: Assessment and Evaluation of Advanced Solid Waste
Management Technologies for Improved Recycling Rates
PRINCIPAL INVESTIGATOR(S): Nurcin Celik, Ph.D.
AFFILIATION: Department of Industrial Engineering, University of Miami
EMAIL: [email protected]
PHONE NUMBER: 1-305-284-2391
PROJECT WEBSITE: http://www.coe.miami.edu/simlab/swm_2015.html
COMPLETION DATE: November 2015
TAG MEMBERS: Alberto Caban-Martinez, Brenda S. Clark, Bryan Tindell,
Helena Solo- Gabriele, Jeremy O’Brien, Kathleen Woods-
Richardson, Kendra F. Goff, Kenneth P. Capezzuto, Lora
Fleming, Michael J. Fernandez, Nurcin Celik, Patti
Hamilton, Paul J. Mauriello, Paul Valenti, Ram
Narasimhan, Samuel B. Levin, Scott Harper, Sean
Williams, Shihab Asfour, Stanley D. Gray, Tim Vinson,
Timothy G. Townsend
KEY WORDS: Advanced solid waste management technologies, analytical
hierarchy process, sustainability, improved recycling rates
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ABSTRACT
The burgeoning growth observed in the solid waste generation combined with the increase in the
regulation of disposal operations and dwindling availability of suitable disposal sites, have made
the planning and operation of integrated solid waste management systems progressively more
challenging. As a result of these factors, and growing pressures for environmental protection and
sustainability, the State of Florida has established an ambitious 75% recycling goal, to be
achieved by the year 2020. This study aims to identify and evaluate new and emerging advanced
solid waste management technologies and their potential to help state reach its recycling goal by
2020, in a manner that is structurally unified, and useful for practitioners in terms of various
criteria such as revenue, tipping fee, capital cost, operation cost, development period, flexibility
of process, land requirement, net conversion efficiency, ease of obtaining permits, marketability,
environmental impact, public acceptability, number of facilities.
In the first phase of the study, new and emerging solid waste technologies which can help
Florida reach its recycling goal in an environmentally friendly and economically feasible way,
were identified. The advanced solid waste management technologies considered in this study
includes gasification, plasma arc gasification, pyrolysis, windrow composting, static piles
composting, in-vessel composting, and anaerobic digestion. Data regarding the identified
technologies were collected. Analytical Hierarchy Process, which is a multi-criteria evaluation
method were utilized for a comprehensive evaluation of technologies. In order to implement the
AHP methodology for the evaluation, solid waste management divisions of 67 counties in
Florida along with several facilities that embrace these technologies were contacted. Following
the AHP analysis, a sensitivity analysis is conducted to evaluate how input uncertainty might
impact the AHP results.
In the final phase of the study, recommendations were provided at the county level by
considering the combined results from the AHP, sensitivity analysis as well as the current waste
management practices and recycling rates of the counties, their geographical proximity to each
other, and waste treatment capacities of the recommended technologies. Larger counties are
grouped with adjacent small counties to treat their waste jointly. The total potential improvement
in the recycling rates (through the presented recommendations) is estimated to be as large as
17.9%.
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METRICS:
1. List graduate student or postdoctoral researchers funded by THIS Hinkley Center project
2. List undergraduate researchers working on THIS Hinkley Center project
Name: Gregory Collins
Department: Department of Industrial Engineering
Professor: Dr. Nurcin Celik
Institution: University of Miami
3. List research publications resulting from THIS Hinkley Center project (use format for
publications as outlined in Section 1.13 of this Report Guide).
Journal Paper: Yasar, D., Celik, N., and Sharit, J. “Evaluation of advanced thermal
solid waste management technologies for sustainability in Florida,” International
Journal of Performability Engineering 12(01) (2016).
Book Chapter: Yasar, D. and Celik, N., Assessment of Advanced Biological
Treatment Technologies for Sustainability, IGI Global, PA, 2015, Joo, S. H. (Eds.),
Applying Nanotechnology for Environmental Sustainability, IGI Global, accepted.
Yasar, D. and Celik, N., “Assessment of advanced thermal solid waste management
technologies,” Talking Trash Newsletter of the SWANA Florida Sunshine Chapter
p.8 (2015).
4. List research presentations (as outlined in 1.13.6 of this Report Guide) resulting from
THIS Hinkley Center project.
Our team has presented the progress of the first phase of this work during our TAG I
meeting in February 20, 2015.
Our team has presented the progress of the second and third phases of this work
during our TAG II meeting in August 18, 2015.
Aristotelis Thanos presented two of our projects including this one during Hinkley
Center Colloquium, Tallahassee, FL, USA in September 24, 2015.
Duygu Yasar, Gregory Collins, and Mehrad Bastani attended SWANA’s National
Solid Waste Design Competition (SWDC) on August 24, 2015 in Orlando, FL. Three
hydrogen sulfide removal technologies namely SulfaTreat, Bio-trickling filter, and
LO-CAT which reduce hydrogen sulfide in the collected landfill gas were evaluated
Last name, first name Rank Department Professor Institution
Bastani, Mehrad Ph.D. Candidate Department of Industrial
Engineering
Prof. Nurcin
Celik
University of
Miami
Yasar, Duygu Ph.D. Student Department of Industrial
Engineering
Prof. Nurcin
Celik
University of
Miami
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in the competition design report. The methodology used in this project for the
evaluation of advanced SWM technologies were applied to the problem solved in
SWANA’s National Solid Waste Design Competition (SWDC). Hydrogen sulfide
removal technology and evaluation criteria identification were completed in the way
defined in this project. Only the technologies that are currently implemented in US
were considered.
5. List who has referenced or cited your publications from this project?
The journal paper entitled "Evaluation of Advanced Thermal Solid Waste
Management Technologies for Sustainability in Florida" by Duygu Yasar and Nurcin
Celik has been cited in the M.S. thesis authored by Gregory Richard Hinds at
University of South Florida:
G. R. Hinds, 2015, High-Solids Anaerobic Digestion of the Organic Fraction of
Municipal Solid Waste State of the Art, Outlook in Florida, and Enhancing Methane
Yields from Lignocellulosic Wastes. (Graduate Thesis). Retrieved from University of
South Florida Scholar Commons Database, 2015.
6. How have the research results from THIS Hinkley Center project been leveraged to
secure additional research funding?
PI Celik and her team have applied for a foundational grant on January and July 2015,
respectively and are awaiting response on their proposal. Another further proposal is
currently being developed for NIOSH/NIH in a multi-institution collaboration, and
will be submitted by the end of this year.
7. What new collaborations were initiated based on THIS Hinkley Center project?
Paul Mauriello, Deputy Director for Waste Operations, Department of Public Works
and Solid Waste Management at the Miami-Dade County has designated Michael J.
Fernandez, Assistant Director of Disposal Operations as the future direct point of
contact for our on-going relationship with UM. He has a wealth of experience in solid
waste collection and disposal operations in both the public and private sectors.
Scott Harper, Solid Waste Services Manager of Hernando County has been very
helpful in both our TAG meetings and afterwards follow-ups. He has also been
instrumental in providing us with expertise rankings of the criterion.
Sally Palmi, Solid Waste Director of Alachua County has been very helpful for
providing necessary information. She has been very interested in our project since
they have just completed a similar task in developing criteria for a project they are
working on.
Mark A. Paisley, P.E., Vice President of Taylor Biomass Energy has been very
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helpful for providing the necessary data regarding gasification technology. He
provided detailed information on development period, conversion efficiency,
environmental impact, ease of obtaining permits, and land requirement of the Taylor
Gasification Process.
Kathleen A. Prather, P.E., Environmental Engineer in Division of Materials
Management, New York State Department of Environmental Conservation has been
very helpful for providing Technical/Operational Documents for JBI, Inc.
Susan Warner, Diversion Manager of Salinas Valley Solid Waste Authority has
provided detailed information and relevant reports about Autoclave Technology
Testing Program.
Mike Sims, Solid Waste Director of the Marion County has requested to be informed
on the findings when the project is completed.
8. How have the results from THIS Hinkley Center funded project been used (not will be
used) by FDEP or other stakeholders? (1 paragraph maximum).
The results obtained from this study have not been presented yet.
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EXECUTIVE SUMMARY
PROJECT TITLE: Assessment and Evaluation of Advanced Solid Waste
Management Technologies for Improved Recycling Rates
PRINCIPAL INVESTIGATOR: Nurcin Celik, Ph.D.
AFFILIATION: Department of Industrial Engineering, University of Miami
PROJECT WEB SITE: http://www.coe.miami.edu/simlab/swm_2015.html
PROJECT TAG MEMBERS: Alberto Caban-Martinez, Brenda S. Clark, Bryan Tindell,
Helena Solo- Gabriele, Jeremy O’Brien, Kathleen Woods-
Richardson, Kendra F. Goff, Kenneth P. Capezzuto, Lora
Fleming, Michael J. Fernandez, Nurcin Celik, Patti
Hamilton, Paul J. Mauriello, Paul Valenti, Ram
Narasimhan, Samuel B. Levin, Scott Harper, Sean
Williams, Shihab Asfour, Stanley D. Gray, Tim Vinson,
Timothy G.Townsend
COMPLETION DATE: November 2015
OBJECTIVES: In recent years, a significant increase has been observed in the variety and quantity of municipal
solid waste (MSW) worldwide, with the greatest rate of growth, both overall and per-capita,
exhibited by the United States. Due to this burgeoning growth as well as the accompanying
increase in strict regulations of disposal operations and the dwindling availability of disposal
sites, solid waste management (SWM) has become increasingly more challenging. Discharging
waste to landfills and incineration of waste are not sustainable options due to several
environmental problems. Landfills release greenhouse gas (GHG) emissions even 30 years after
their closure. Incineration technology provides a reduction in the total volume of waste to be
discarded in landfills, yet, releases emissions of pollutant organic compounds such as NOx, SOx.
In the light of aforementioned reasons, the State of Florida has established an ambitious 75%
recycling goal to be achieved by 2020. Advanced solid waste management technologies
(ASWMT) such as gasification, plasma arc gasification, pyrolysis, anaerobic digestion, and in-
vessel composting are capable of achieving this goal as well as reducing the GHG emissions. In
this project, advanced SWM technology options are identified and evaluated using Analytical
Hierarchy Process (AHP) which is a multi-criteria decision making method. Technologies are
evaluated with respect to several criteria including revenue, tipping fee, capital cost, operation
cost, development period, flexibility of process, land requirement, net conversion efficiency, ease
of obtaining permits, marketability, environmental impact, public acceptability, number of
facilities. SWM divisions of each county were contacted to obtain their criteria preferences.
Following the quantitative analysis, recommendations are provided by considering AHP results,
sensitivity analysis results as well as the current recycling rates of counties, and the amount of
waste landfilled by each county.
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METHODOLOGY:
The study is composed of the following phases:
1. Identification of ASWMT: New and emerging solid waste management technologies that
were under the scope of this study were identified as technologies that are not currently in
widespread commercial use in the State of Florida, or that have only recently become
commercially operational (USEPA, 2014). To this end, we had performed an extensive
review on the current literature of ASWMT to identify such technologies, and categorize
them to the extent possible. The category of advanced thermal SWM technologies includes
gasification, plasma arc gasification, and pyrolysis and the category of advanced biological
SWM technologies includes windrow composting, static piles composting, in-vessel
composting, and anaerobic digestion. Technologies in their early phases of investigation
(whether being investigated in US or abroad) and have not been applied in commercial
practice were not considered in the evaluation based on the feedback given by the committee
during our first TAG meeting in February, 2015.
2. Data Collection: Various data regarding the advanced thermal and biological SWM
technologies were collected by utilizing multiple data collection techniques. Data were
collected by reviewing materials and interviewing county waste management divisions and
technology providers. Related works on the literature were collected from on-line databases
at University of Miami and County Waste Management Plans, Florida Department of
Environmental Protection (FDEP) and County government websites. In order to implement
the AHP methodology for evaluation, we contacted solid waste management divisions of 67
counties along with several facilities that embrace these technologies such as Taylor Biomass
Energy, Salinas Valley Solid Waste Authority, JBI Niagara Falls Pyrolysis Facility, and Lee
County Compost Production Facility. Email requests and follow-up phone conversations for
evaluation of criterion set by subject matter experts (SMEs) were sent to all Floridian
counties, and received a 71 percent response rate.
3. Quantitative Assessment: AHP was conducted to assess gasification, plasma arc gasification,
pyrolysis, windrow composting, static piles composting, in-vessel composting, and anaerobic
digestion technologies for 67 counties in Florida with an aim to recommend the best
technology for each county to improve their recycling rates. The model is hierarchically
structured, consisting of objectives, criteria, sub-criteria, and alternatives. Technologies were
evaluated with respect to several criteria including capital cost, revenue, net conversion
efficiency, public acceptability, tipping fee, operation/maintenance cost, development period,
flexibility of process, land requirement of facility, ease of obtaining permits, marketability of
recovered products, number of facilities, and environmental impact. Expert Choice Decision
Support Software was utilized as the evaluation tool. Following the derivation of the AHP
results, we conducted a sensitivity analysis to evaluate how input uncertainty might impact
the outputs. Our aim was to show how the reduction in the weight of the highest ranked
criterion affects the technology evaluation results.
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4. Recommendations: Upon the conduct of the quantitative analysis, recommendations are
provided at the county level by considering the combined results from the AHP, sensitivity
analysis, current recycling rates of counties, and the amount of waste landfilled. Miami Dade,
Broward, Orange, Duval, Polk, and Volusia counties are recommended to install a
gasification facility. Palm Beach County is not recommended to invest in a new facility since
it has recently opened a WTE facility in 2015. Furthermore, Lee County is not recommended
to make an investment since it has already reached 75% recycling rate. The rest of the
counties are considered for anaerobic or in-vessel composting based on the food waste
generation amounts and the results of AHP and sensitivity analysis.
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RESEARCH TEAM
Nurcin Celik (P.I.) is an assistant professor at the Department of Industrial
Engineering at the University of Miami. She received her M.S. and Ph.D.
degrees in Systems and Industrial Engineering from the University of Arizona.
Her research interests lie in the areas of integrated modeling and decision
making for large-scale, complex and dynamic systems. Her dissertation work
is on architectural design and application of dynamic data-driven adaptive
simulations for distributed systems. She has received several awards, including
AFOSR Young Investigator Research Award (2013), University of Miami
Provost Award (2011), IAMOT Outstanding Research Project Award (2011), IERC Best Ph.D.
Scientific Poster Award (2009), and Diversity in Science and Engineering Award from Women
in Science and Engineering Program (2007). She can be reached at [email protected].
Duygu Yasar is a Ph.D. student at the Department of Industrial Engineering at
the University of Miami. She earned her bachelor's degree in the field of
Industrial Engineering from Yildiz Technical University, Turkey in June 2014.
She graduated in the top 5 percent of her class. Her research interests evolve
around the queuing system simulations, data envelopment analysis, sustainable
solid waste treatment, evaluation of solid waste management technologies,
multi-criteria decision analysis, advanced thermal treatment of municipal
waste, and modeling of integrated large-scale and complex systems. She can be reached at
Mehrad Bastani is a Ph.D. student at the Department of Industrial
Engineering from University of Miami. His research interests include the
applied operation research, simulation and statistics. He earned his bachelor's
degree from the Department of Industrial Engineering at the Sharif University
of Technology, Iran in September of 2011. He also earned his master's degree
in Industrial Engineering at the University of Tehran, Iran in July of 2013. He
can be reached at [email protected].
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DISSEMINATION ACTIVITIES
JOURNAL PAPERS AND BOOK CHAPTERS:
1. Yasar, D., Celik, N., and Sharit, J. “Evaluation of advanced thermal solid waste management
technologies for sustainability in Florida,” International Journal of Performability
Engineering 12(01) (2016).
2. Yasar, D. and Celik, N., Assessment of Advanced Biological Treatment Technologies for
Sustainability, IGI Global, PA, 2015, Joo, S. H. (Eds.), Applying Nanotechnology for
Environmental Sustainability, IGI Global, accepted.
3. Yasar, D. and Celik, N., “Assessment of advanced thermal solid waste management
technologies,” Talking Trash Newsletter of the SWANA Florida Sunshine Chapter (2015).
PRESENTATIONS, CONFERENCES AND INVITED TALKS:
1. The team presented the work accomplished before the Technical Awareness Group (TAG)
committee on Friday, February 20, 2015.
2. The team presented the work accomplished before the Technical Awareness Group (TAG)
committee on Tuesday, August 18, 2015.
3. Duygu Yasar, Gregory Collins, and Mehrad Bastani attended SWANA’s National Solid
Waste Design Competition (SWDC) on August 24, 2015 in Orlando, FL. Three hydrogen
sulfide removal technologies namely SulfaTreat, Bio-trickling filter, and LO-CAT which
reduce hydrogen sulfide in the collected landfill gas were evaluated in the competition design
report. The evaluation criteria were footprint, monitoring requirements, electrical power
requirements, water requirements, system complexity, H2S variability, turndown, H2S
removal efficiency, capital and operation costs of the technologies. The poster of the project
was also presented during WASTECON 2015.
4. Aristotelis E. Thanos presented our current project during Hinkley Center Colloquium,
Tallahassee, FL on September 24, 2015.
5. Dr. Nurcin Celik had an interview for NPR/WLRN Radio discussing the potential impact of
a new recycling program in Hollywood, FL. Her interview was published by Wilson Sayre
on October 6th, 2015 and aired on October 7th at 7:43 am, 9:35 am, and 5:44 pm. The audio
and text version of the story are also available online at the local WLRN website.
xvii
FIGURE 1. Pictures from events.
TECHNICAL AWARENESS GROUP (TAG) MEETINGS:
The project team hosted two TAG meetings, on February 20, 2015 and August 18, 2015.
WEBSITE: The team worked on and posted an enhanced website describing the project,
accessible at http://coe.miami.edu/simlab/swm_2015.html.
FEEDBACKS FROM TECHNICAL AWARENESS GROUP (TAG) MEETINGS:
Our first TAG meeting took place on February 20th, 2015 at the McArthur Engineering Building
of the University of Miami. We also had set up a conference call for those attending the meeting
remotely.
Several comments were given during our first TAG meeting. Attendees suggested our team to
consider whether technologies have been applied earlier in the US or not, and focus on those
implemented in the US. Inspection of several data sources including company and county reports
as well as the websites of technology providers about technologies has revealed that some
particular advanced SWM technologies (i.e., anaerobic digestion and composting) have long
been tested and implemented within the US for several years whereas there are also others (i.e.,
hydrothermal carbonization) with a single demonstration facility in the entire world. As a sign of
the existing of their vendors and market demand, the commercial implementations of
technologies may have a significant impact on their future applicability for a given county. As
such, the alternative technologies were revised based on these comments to include only the
technologies which have been implemented or investigated in the US. To this end, steam
classification, hydrothermal carbonization, catalytic cracking, and depolymerization were
removed from the alternatives.
Attendees also suggested focusing on the technologies and related facilities within the US as the
regulations, waste types, and markets are more similar to those within the State of Florida. Also
of attention were the concerns regarding the gas level that any technology might produce. It is an
important issue since our main goal is to find a technology to manage the waste of Floridian
counties in a more environmentally friendly way than traditional landfilling or other
conventional treatment methods. As such, environmental impact was considered as one of the
criteria in AHP evaluation. During the TAG, it was also discussed that the county goals should
be considered in evaluation. As suggested in the TAG meeting, the recommendations were
differentiated for the counties based on the results obtained from AHP and sensitivity analysis,
current recycling rates of counties, and the least amount of waste that should be diverted from
landfills to reach 75% recycling rate of a given county. The results obtained from the AHP and
sensitivity analysis were considered equally importantly when composing county-specific
recommendations.
xviii
Our second TAG meeting took place on August 18th, 2015 with a similar communication set up
to hold a conference call for those attending the meeting remotely. Several comments were
received and discussed during this meeting following our presentation on the current project
progress. Attendees suggested the team to consider conventional waste treatment methods and
their current capabilities, and benchmark the current conventional waste management method of
a given county against possible advanced SWM technologies while giving recommendations. For
instance, if a county has just started a combustion facility it may not be feasible for that county to
invest in a completely different advanced SWM technology. Also, it may be more feasible to
recommend the implementation of advanced SWM technologies for counties that dispose
significant amounts of waste to landfills and do not have an active plan to manage their waste.
As per the extent of this practicality discussion, in the final phase of the study, the team decided
to take the conventional waste management methods into consideration while investigating
county-based recommendations. Here, another clarification was made on the approach taken to
reach 75% recycling rate in each and every considered county (i.e., every county having a
recycling rate that is greater than 75%) rather than focusing only on the waste treatment of large
counties in order to obtain such a recycling rate at the State level (i.e., some counties having
greater than 75% recycling rate compensating for those having a rate that is less than that).
It was also suggested by attendees to double-check the tipping fees of technologies since they
seemed lower than expected. This may affect the recommendations when conventional methods
were taken into consideration. However, the recommendations given here are only among the
advanced SWM technologies. Due to this fact, the increase in the tipping fees of all alternatives
will not affect the evaluation. It was also suggested that the counties that are close to each other
should be grouped together while giving the recommendations. It is more feasible to jointly
establish a facility for the neighboring counties, since they can transfer their waste to a single
location easily. In the recommendations part, geographical proximity of the counties were taken
into consideration and mainly the counties which share a border were grouped together.
The thermal technologies are also suggested to be considered as a single option since the only
main difference between them is the process temperature. Our results obtained from the AHP
model suggested the same thermal treatment technology for all groups of counties. The
sensitivity analysis further demonstrated that change in the criteria weights do not create a major
difference in results.
Sensitivity analysis was conducted after the second TAG meeting. The results obtained from the
AHP and sensitivity analysis pointed to gasification for thermal treatment technology evaluation
and anaerobic digestion or in-vessel composting for biological treatment technology evaluation.
The capacities that the alternative technologies can operate in an economically feasible way were
investigated. Furthermore, the least amount of waste that needs to be treated in each county to
reach 75% recycling goal was calculated to compare with the maximum and minimum capacities
of the recommended technologies. Final recommendations were provided based on these
calculations as well as the current waste management practices in the counties.
1
INTRODUCTION
Over the past several decades, both the volume and diversity of MSW generation has increased
markedly worldwide, with the United States exhibiting the greatest rate of growth, both overall
and per-capita, by a significant margin. In 2006, the total amount of MSW generated globally
reached 2.02 billion tons, representing a 7% annual increase since 2003 (Key Note Publications
Ltd., 2007). It is further demonstrated that after 2010 global generation of municipal solid waste
has exhibited approximately a 9% increase per year. This burgeoning growth, combined with the
concomitant increase in the regulation of disposal operations and dwindling availability of
suitable disposal sites, has made the planning and operation of integrated SWM systems
progressively more challenging. According to the concept of sustainable waste disposal, a
successful treatment of MSW should be safe, effective, and environmentally friendly (Sakai et
al., 1996). However, existing waste-disposal methods namely landfills and incineration
technology cannot achieve this goal. As a result of these factors, and growing pressures for
environmental protection and sustainability, the State of Florida has established an ambitious
75% recycling goal, to be achieved by the year 2020. At present, the recycling rate in the State of
Florida is approximately 30% (the amount of waste combusted is not included), based on a goal
set by the landmark Solid Waste Management Act of 1988. However, MSW landfills represent
the dominant option for waste disposal in many parts of the world. Based on 2013 MSW
management data, combustion and landfilling has constituted the 62% of Florida waste
management method (FDEP, 2013). Conventional waste landfills occupy large amounts of land
and lead to serious environmental problems (Belevi and Baccini, 1989) such as release of
leachate to the environment. Even though modern landfills are required to use liners, some
chemicals dumped in landfills and tons of garbage on top of them deteriorate liners over time
(Zarske et al., 2016). Furthermore, landfill facilities lead to significant operational and post-
operational care period and costs (Figure 2).
FIGURE 2. Management phases of a MSW landfill throughout life-cycle.
On the other hand, incineration technology was developed to reduce the total volume of waste
and make use of the chemical energy of MSW for energy generation. However, the emissions of
pollutant species such as NOx, SOx, and HCl, harmful organic compounds (Holmgren, 2006 and
de Holanda & Balestieri, 1999) and heavy metals (McKay, 2002 and Suksankraisorn et al. 2003)
are high in the incineration process. Another problem with MSW incineration is the serious
corrosion of the incineration system by alkali metals in solid residues and fly ash (McKay,
2002). Furthermore, due to the low incineration temperature related to the low energy density of
MSW, the energy efficiency of MSW incineration is relatively low (Wiles, 1996). Due to
aforementioned problems of conventional technologies, many stakeholders such as utilities,
regulators, governmental agencies, municipalities, and private firms, have recognized the
Land
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Was
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Dis
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Operational Period Post-operational care period
2
necessity of establishing advanced solid waste management technologies to treat the solid waste
and convert it into energy or marketable products.
Implementing these technologies is essential for the State of Florida for several reasons. These
technologies have the potential to enable the State to reduce its waste, and increase its recycling
rate such that its goal of reaching 75% recycling rate by 2020 can be achieved, not by particular
counties that have strong solid waste management structure in place, but by the majority of the
State of Florida counties, including the ones currently struggling with their waste operations. The
new and emerging solid waste management technologies also show potential to create new jobs,
produce renewable energy, and promote economic growth. In addition, while higher recycling
rates may enable lower disposal rates in the landfills, which reduces the land sources utilization
and leaves more room for humans and wildlife, improper implementation of these new
technologies may cause serious problems such as infectious diseases, waste contamination, toxic
emissions, and occupational health issues for solid waste workers. Moreover, current
implementation of these technologies is limited by aspects such as regional divergence, political
factors, market forces, technical supports, amongst many others. Thus, a comprehensive top-to-
bottom assessment of each of these significant technologies in terms of environmental,
economical, and social aspects as well as their comparison against each other becomes crucial
before their applications are discussed for or appear in the counties of the State of Florida.
However, in light of the inherently challenging nature of the MSW stream and management,
combined with the fiscal difficulties befalling municipalities throughout the state, numerous
technical and social challenges to all parties of solid waste management are presented. Because
these technologies are emerging or being researched in different geographical locations (other
states or maybe other countries), a unified and consistent evaluation scheme has to be developed
before these technologies are considered to be implemented (in part or fully) in the State of
Florida counties. To this end, the purpose of this study is to identify and evaluate new and
emerging advanced solid waste management technologies and their potential to help state reach
its recycling goal by 2020 in a manner that is structurally unified, and useful for practitioners in
terms of various criteria such as cost, impact on the recycling rates, impact on the landfill
emissions, and impact on the promotion of sustainable economic development.
The most challenging phase of this work was to collect consistent data for the technologies.
Their characteristics varies among different applications and are not changed proportionally by
the rate of change in inputs. In addition to this, available data for these technologies are limited
due to the fact that they are emerging technologies and their applications on solid waste
processing are not widespread. The tool utilized for the evaluation, AHP, pose another challenge
for the study. The ranking of the technologies are determined based on the judgments by the
subject matter experts which might be biased. The SMEs who are specialists in their fields were
selected for criteria ranking in order to reduce such a bias. At the end, application of the
technologies to different sites and different waste compositions may result in different
performances. The performances of technologies, their operation costs, environmental impacts,
and waste conversion rates might be different than expected when implemented in a specific site.
BACKGROUND AND LITERATURE REVIEW
Solid waste generation and the importance and social and economic complexity of problems
related to solid waste management in industrialized countries have increased during the last three
3
decades (Hokkanen and Salminen, 1997 & Antmann, 2011). The ideal of completely eliminating
waste is highly unrealistic; therefore, the best approach is to handle solid waste in sustainable
way to protect the environment and conserve the natural resources. Accordingly, significant
modifications to existing waste management technologies and programs have become necessary
in order to achieve the 75% recycling goal established by the Florida State government and
obtain most optimal handling of municipal solid waste for all stakeholders, including
environmental managers, regulators, policy makers, and the affected communities in the state. As
a general definition, integrated SWM systems are systems that provide the collection, transfer,
and disposal or recycling of waste materials from a given region. These systems handle a wide
variety of materials collected from the generation units and require numerous specialized
facilities and technologies to process, recycle and dispose the collected waste. Therefore,
researchers have conducted a series of studies on the technologies required for the integrated
SWM systems throughout the MSW life-cycle.
For any solid waste treatment method, the primary implementation goal is to ensure that the
public health is protected while cost effectiveness is maintained. Compared to traditional
disposal landfills which provide an open loop of MSW life cycle, the advanced disposal
technologies usually combine the recycling and recovery methods, leading to a closed loop of
MSW life cycle (see Figure 3) and thereby improving the recycling rate.
FIGURE 3. Traditional open loop (left) and advanced disposal landfills close loop cycles
(right).
Several researchers have performed evaluation of advanced technologies and analysis for MSW
processing and disposal, in order to decrease landfill utilization and increase the waste recycling
and recovery (Regional Municipality of Halton, 2007 & Moustakas and Loizidou, 2010). Advanced
SWM technologies can be categorized in three major groups including thermal,
biological/chemical, and physical technologies. These technologies are known to be
environmentally sound, cost-effective and implementation acceptable (Suksankraisorn et al.,
2003 and Wiles, 1996). Aforementioned technologies are categorized in Figure 4 to show the
technologies in each group. A similar study that was conducted in New York by the New York
City Economic Development Corporation and Department of Sanitation (2004) provided
information for future planning of SWM systems. The evaluation considered 43 technologies in
total and was conducted based on a set of criteria that included readiness and reliability, size and
flexibility, beneficial use of waste, marketability, public acceptability, and cost. The City of Los
Angeles and URS Corporation collaborated to carry out an assessment project for identifying
Manufacture
Transfer Station
Customers (Residents)
Collection Fleets Landfill
(End of Line)
Manufacture
Transfer Station
Customers (Residents)
Collection Fleets Advanced Disposal Landfill
Recycling Reuse Recovery
4
alternative MSW processing technologies that could improve landfill diversion in an
environmentally sound manner. They concluded that the technologies best suited for processing
unrecyclable MSW on a commercial level were the thermal technologies (URS Corporation,
2005). Chirico (2009) conducted a study with the purpose of evaluation, analysis, and
comparison of SWM technologies. This study investigated the capability of SWM technologies
to decrease landfill utilization and emissions, promote sustainable economic development, and
generate renewable energy in Georgia. It was concluded that plasma arc gasification is the most
sustainable option, but with reservations toward its economic profitability.
FIGURE 4. Categorization of advanced solid waste management technologies.
In this report, initially a brief description of advanced SWM technologies are provided. Data
collection stages are presented in Section 3. It is followed by the description of methodology in
Section 4. Section 5 and 6 present the AHP and sensitivity analysis results. Recommendations,
limitations of the study, and the conclusion are provided in Sections 8 and 9 respectively.
2.1 Biochemical Treatment Technologies
Advanced Biological Solid Waste Management Technologies (ABSWMT) can be used to
process biodegradable materials such as food and green waste. They operate at low reaction rates
and low temperature. ABSWMT offer the opportunity to process the organic rich fraction of
MSW. Organic rich fraction of MSW should be separated from mixed waste before they are used
as feedstock for ABSWMT processes. During the biological treatment of MSW, biodegradable
MSW Technologies
Biomechanical Treatment
Thermal Treatment
Aerobic Process
Anaerobic Digestion
Gasification
Pyrolysis
Plasma Arc Gasification
Steam Classification
Waste Convertor
Hydrothermal
Carbonization
Physical Technologies
Windrow Composting
Static Piles Composting
In-vessel Composting
5
FIGURE 2. Harvest’s Energy
Garden in Central Florida.
waste is decomposed by living microbes. Aerobic and anaerobic conditions are two types of
environment where microbes are able to live. Organic portion of MSW should be separated from
mixed waste before they are used as feedstock for ABSWM processes. Pretreatment requirement
is a disadvantage of ABT technologies since it increases operating costs. ABSWMT are divided
into two major groups as aerobic and anaerobic processes. Windrow composting, static pile
composting, and in-vessel composting (IVC) are evaluated under the category of aerobic
processes as can be seen in Figure 4.
2.1.1 Anaerobic Digestion
Anaerobic digestion (AD) is a method engineered to
decompose organic matter by a variety of anaerobic
microorganisms under oxygen-free conditions. The process
should be carried out in a closed vessel to keep the process
environment out of oxygen. Process is performed in three major
stages: hydrolysis, acetogenesis, and methanogenesis. First
insoluble portion of organic matter is hydrolyzed into soluble
molecules. Secondly, the outputs of first step is converted into
carbon dioxide, hydrogen and simple organic acids. In the final
phase, methane formers produce methane. The end product of
AD includes biogas (60–70% methane) and an organic residue
rich in nitrogen. Produced biogas which consists of methane
and carbon dioxide can be converted into heat and electricity, or its quality can be improved to
be distributed to electrical grid system. The optimal process temperature is around 30-35oC. AD
can be classified based on the number of reactors used: single or multiple reactors. In multistage
systems, hydrolysis takes place in a separate vessel. The most important advantage of the
multistage systems is that the process parameters can be customized in each stage, however, they
have higher capital costs.
This technology has been successfully implemented in the treatment of agricultural wastes, food
wastes, and wastewater sludge due to its capability of reducing chemical oxygen demand and
biological oxygen demand from waste streams and producing renewable energy (Chen et al.,
2008). Harvest’s Energy Garden in Central Florida uses low solids AD to convert bio solids and
food waste into clean energy and natural fertilizers (Figure 4).
2.1.2 Depolymerization
A significant, valuable percentage of today's municipal solid waste stream consists of polymeric
materials, for which almost no economic recycling technology currently exists. This polymeric
waste is incinerated, landfilled or recycled via downgraded usage. Thermal plasma treatment is a
potentially viable means of recycling these materials by converting them back into monomers or
into other useful compounds (Guddeti, 2000).
2.1.3 Windrow Composting
One of the most prevalently used methods for large scale composting is windrow composting.
Rows of turning piles are the main components of the windrow systems. Organic waste is fed
6
into piles as they turn periodically. Periodic turning reduces the odor problems and creates
aeration inside the windrows; however, it increases the operating costs. There should be enough
space between the windrows to let the equipment rotation. Due to this requirement and the nature
of the equipment, the system needs to be installed in a large land area. The width and height of
the windrows are defined based on several parameters such as feedstock characteristics and
aeration conditions. The system can easily be affected by the weather changes since it is an open
system. It takes 8 to 12 months to produce a compost.
2.1.4 Static Pile Composting
Static pile composting process is similar to windrow composting however, they do not have the
windrows that need to be turned. Their sizes are not limited by the turner and can be larger than
windrows. They can process large amounts of waste since they can be designed in larger
capacities. Their process parameters should be monitored and controlled closely to provide the
distribution of heat over the pile system.
2.1.5 In-vessel Composting
IVC systems are closely monitored aeration systems which produces compost in an enclosed
container like a reactor. Their appearances are similar to AD systems. The most important
advantage they provide is that the system temperature, moisture, and other parameters can be
closely monitored and controlled. However, they have higher capital and operating costs
compared to other composting methods. Odor control is easier and emission is lower than open
systems since the emitting surface is decreased to the lowest.
2.2 Advanced Thermal Solid Waste Management Technologies
The most important reason for the growing popularity of thermal processes for the treatment of
MSW is the increasing environmental and technical concerns and public dissatisfaction with the
performance of conventional incineration processes. Thermal technologies operate in high
temperatures which usually ranges from 700oF to 10,000oF. They can operate in smaller scales
compared to combustion process. They typically process carbon-based waste such as paper,
petroleum-based wastes like plastics, and organic materials such as food scraps. Organic waste
needs to be dried to decrease the moisture content before thermal processes. The main output
(byproduct) of thermal technologies is syngas which can be converted into electricity. In this
section, information about thermal technologies is presented.
2.2.1 Gasification
The technology data for gasification were obtained from Montgomery Project Gasification
Facility and publicly available online sources. Gasification technology mainly involves the
reaction of carbonaceous feedstock with an oxygen-containing reagent, usually oxygen, air,
steam or carbon dioxide, generally at temperatures above 1400oF. It contains the partial
oxidation of a substance which indicates that the amount of oxygen is not sufficient for entire
oxidization of fuel. The process is largely exothermic but some heat may be required to initialize
and sustain the gasification process. Gasification has several advantages when compared to
combustion for treatment of MSW. It operates in a low oxygen environment that bounds the
7
release of emissions, and the hydrocarbon pollutants are removed in an additional gas cleanup
process. Hydrocarbon pollutants are either not formed or removed in the gas clean-up process.
Additionally, it requires just a fraction of the stoichiometric amount of oxygen necessary for
combustion. As a result, it requires less expensive gas cleaning equipment. In terms of
efficiency, 90% of energy generated is available for end use. Finally, gasification generates a
fuel gas that can be integrated with reciprocating engines, combined cycle turbines, and
potentially, with fuel cells that convert fuel energy to electricity more efficiently than
conventional steam boilers. Commercial gasification plants that use MSW as input have been
implemented in several countries including Japan, Europe, and North America.
2.2.2 Plasma Arc Gasification
Plasma gasification is a multi-stage process which starts with inputs ranging from waste to coal
to plant matter, and can include hazardous wastes. Feedstock is not combusted since the
environment inside the vessel is deprived of oxygen. Rather feedstock is broken down into
elements such as hydrogen, carbon monoxide, and water. The initial step in plasma arc
gasification is to process the feedstock to make it uniform and dry, and have the usable
recyclables sorted out. The second step is gasification, where extreme heat from the plasma
torches is applied inside a sealed, air-controlled reactor. During gasification, carbon-based
materials break down into gases and the inorganic materials melt into liquid slag which is poured
off and cooled. The heat destroys the poisons and hazards completely. The gas that is created is
called synthesis gas or “syngas”. The syngas created in the gasifier undergoes a clean-up process
to clean dust and other undesirable elements like mercury. It is followed by the generation of
clean fuel, and heat exchangers recycle the heat back into the system as steam. In the final stage,
the output ranges from electricity to a variety of fuels, hydrogen, and polymers. The entire
conversion process constitutes a closed system so no emissions are released. According to the
Westinghouse Plasma Corporation Report, only about 2-4% of the material introduced into their
plasma gasification plant was disposed in landfills. This technology was going to be
implemented in St. Lucie County for the first time in the U.S. in 2007, however the project was
cancelled in 2012.
2.2.3 Pyrolysis
Pyrolysis systems thermally break down solid waste in the absence of air or oxygen at
temperatures of approximately 1100F and 1500F. It is a relatively simple and flexible process
that can receive a wide variety of feedstock, and produces several usable outputs from typical
waste streams. Pyrolysis produces gases and a solid char product such as activated carbon,
international grade diesel, and synthetic gas as byproduct. Pyrolysis can convert a wide variety of
waste including hazardous waste since it can generate excess heat to reduce moisture content of
waste below 10%. However, solid fuel must be shredded and the moisture content inside solid
waste must be reduced to below 10%. This is one of the reasons that pyrolysis plants have not
been successfully implemented in large scale. Although pyrolysis of biomass keeps developing
on a relatively small scale, no commercial plants for the pyrolysis of MSW are operating in the
United States currently.
2.3 Physical Technologies
8
Physical technologies are used to alter the physical characteristics of the MSW feedstock. These
materials in MSW may be shredded, sorted, and dried in a processing facility. The output
material is referred to as refuse-derived fuel (RDF). It may be converted into high dense
homogeneous fuel pellets and transported and combusted as a supplementary fuel in utility
boilers.
DATA COLLECTION
Advanced thermal and biological SWM technologies were evaluated for the counties in Florida.
The collection of reliable data from various sources comprises a major task in this work, since
these technologies are not currently in widespread commercial use. Data collection is composed
of four stages. In the first stage, advanced solid waste management technologies were identified
and the criteria set were defined for AHP. In the second stage of data collection, subject matter
experts (SMEs) from Floridian counties were contacted to compute the criteria weights. In the
third stage, FDEP SWM 2013 annual reports were explored to obtain the annual waste
generation for each waste disposal type of Floridian counties. This data were used to categorize
the counties. In the last stage of data collection, necessary data about technologies were collected
from publicly available sources and facilities in US.
3.1 Defining Criteria Set
The criteria set was defined after inspection of a wide range of journal and white papers in the
first phase of data collection. Several issues such as environmental policies, regulations, public
health, and characteristics of the technologies were also taken into consideration. The criteria set
and the explanations are given below:
Revenue is the profit that the facility earns by selling the outputs of the process. There are
three potential sources of revenue from a MSW conversion facility which are energy sales,
sales of other outputs, and tipping fees. Revenue from the sale of energy highly depends on
the price for electricity and the net amount of electricity generated. Selling the energy and
products should provide a satisfactory profit.
Tipping fee is a charge for a given quantity of waste received at a waste processing facility.
For financial feasibility of project, tipping fees should be cost competitive and should
provide a significant contribution to the revenue of the facility. Tipping fees typically
constitute the largest source of revenue for a waste disposal facility.
Capital cost of the project is the amount of money which is invested in SWM project.
Operation cost is the ongoing expenses for maintenance of the facility.
Development period is the time period between the design/proposal of the project and
starting the facility. A long development period might cause the competitors jump into the
market since the solid waste industry is very competitive even in the public sector.
Flexibility of process is another important factor since the municipal solid waste has a highly
variable nature. The process should be flexible enough to keep up with the changes of the
content of the waste. Flexibility of process may affect operation costs and tipping fees. The
ability of converting different waste types through a single process lowers the costs.
Land requirement of the facility might be an important issue for some counties that do not
own an available land to establish the facility.
9
Net conversion efficiency shows how much of the received waste is diverted into
energy/marketable products. Net conversion efficiency directly affects the tipping fees since
less efficient processes lead to higher operating costs which are generally paid by higher
tipping fees.
Ease of permitting is the criterion to measure how capable the process is at obtaining the
necessary local and state permits.
Marketability of recovered products shows how much demand exists in the current market
for the outputs of the process. It is not possible to generate the necessary revenue to support
the process if the markets for the outputs being produced do not have market demand or
current markets are too unstable.
Environmental impact of the process indicates the level of damage that the process or its
byproducts have on the environment. The process itself should not contradict one of its main
purposes which is to reduce the damage on the environment.
Public acceptability measures the level of public support to the alternative technology. It is
not possible for a solid waste management facility to function properly without public
support.
Number of facilities affects the availability of data and the size of vendors for ASWMT.
AHP structures for ATSWMT and ABSWMT are given in Figure 6 and 7, respectively. AHP
structure was designed in a way that environmental, social, economic, technical, and regulatory
issues can be adequately considered. In the second stage of the data collection, criteria weights
were determined after contacting SWM of Floridian counties and FDEP through email
communication.
10
FIGURE 3. AHP structure for ATSWMT evaluation.
The set of criteria was re-arranged for the evaluation of ABSWMT (Figure 7). Capital cost,
operating cost, operation time, land requirements of the facility, conversion efficiency,
environmental impact, and public acceptance were taken into consideration. The reason for
elimination of the rest of the criteria was that for the rest of the criteria, ABSWMT performances
were very close and their impacts on the evaluation were negligible.
FIGURE 4. AHP structure for ABSWM technology evaluation.
Gasification
Plasma Arc
Gasification
Pyrolysis
Revenue
Tipping Fees
Capital Cost
Operation/Maintenance
Development Period
Flexibility of Process
Land Requirement of Facility
Net Conversion Efficiency
Ease of Permitting
Marketability
Environmental Impact
Public Acceptability
Number of Facilities
Criterion Set
Alternatives
Selecting an
Appropriate
ATSWM
Technology
Goal
Alternatives
Windrow
Composting
Static Pile
Composting
In-vessel
Composting
Capital Cost
Operating Cost
Land Requirement
Operation Time
Public Acceptance
Efficiency
Environmental Impact
Criteria Set
Selecting an
Appropriate ABSWM
Technology
Goal
Anaerobic Digestion
11
3.2 Contacting SMEs
In the second stage of data collection, criteria weights were determined after contacting SMEs
from SWM divisions of Floridian counties and FDEP via surveys. Here, a total of 173 requests
were placed to waste management experts in 67 different counties within the state of Florida
namely Alachua, Baker, Bay, Bradford, Brevard, Broward, Calhoun, Charlotte, Citrus, Clay,
Collier, Columbia, Desoto, Dixie, Duval, Escambia, Flagler, Gadsden, Gilchrist, Glades, Gulf,
Hamilton, Hardee, Hendry, Highlands, Holmes, Indian River, Jackson, Jefferson, Lafayette,
Lake, Lee, Leon, Levy, Liberty, Madison, Manatee, Marion, Martin, Miami Dade, Monroe,
Nassau, Okaloosa, Okeechobee, Orange, Osceola, Palm Beach, Pasco, Pinellas, Polk, Putnam,
Santa Rosa, Sarasota, Seminole, St. Johns, St. Lucie, Sumter, Suwannee, Taylor, Volusia,
Wakulla, Walton, Washington counties. Since the counties were categorized into groups, each
SME ranking contributed to the computation of criterion weight of its corresponding county
group.
Experts contacted from given counties come from various backgrounds related to solid waste.
Their backgrounds and job titles include solid waste specialists, solid waste managers,
environmental service directors, public works directors, solid waste recycling coordinators,
hazardous waste professional engineers, recycling coordinators, utility operations directors, solid
waste facility directors, sanitation directors, and environmental managers. Their opinions
represent the preferences of SWM divisions of Floridian counties on the evaluation of
technologies.
3.3 Categorization of Counties
In the third stage of data collection, similar counties were categorized based on their ability to
manage waste using similar advanced SWM technology. This categorization of counties into
different groups was conducted based on the waste disposal types and annual waste generation.
FDEP SWM 2013 annual reports were used to obtain solid waste disposal types and waste
generation data of each count (FDEP, 2013). The first step was to classify counties based on
least recycled disposal types. The formed groups were then divided into subgroups based on their
annual waste generation amounts.
3.3.1 Municipal Solid Waste Types in Floridian Counties
According to United States Environmental Protection Agency (USEPA), MSW heavily consists
of everyday items that are discarded by the residents and businesses, such as newspapers, office
papers, paper napkins, plastic films, clothing, food packaging, cans, bottles, food scraps, yard
trimmings, product packaging, grass clippings, furniture, wood pallets, appliances, paint, and
batteries (USEPA, 2015). In this study, the definition provided by the EPA for MSW is used to
categorize the counties based on the waste types. Waste types that are not considered in
categorization of counties and reasons for not using them are discussed in this section.
For the waste types that are 100% recyclable, recycling technologies are already well established
with their associated markets. For instance non-ferrous metals such as brass, stainless steel,
copper, aluminum are, overall, 100% recyclable and can be easily recovered by the recycling
process. They perform well when used in new products since they retain their properties when
12
recovered. Moreover, 48% of Floridian counties have a recycling rate greater than 50% for non-
ferrous metals. As such, these wastes do not need to be converted by advanced SWM
technologies and therefore are not considered as part of the categorization.
Construction and demolition (C&D) debris is comprised of waste that is generated during new
construction, renovation, and demolition of buildings, roads, and bridges. C&D debris often
contains massive materials such as concrete, asphalt, doors, windows, gypsum, and bricks. C&D
waste is primarily sent to landfılls that are permitted to accept only C&D waste or that receive
primarily MSW. C&D debris waste includes building related construction, renovation, and
demolition debris whereas non-MSW C&D debris contains roadways, bridges, and other non-
building related C&D debris generation. The largest percentage of C&D debris generation and
recovery is made up of non-MSW C&D debris. In addition, C&D debris has a separate disposal
stream than MSW. For these reasons, C&D debris is also not considered as one of the waste
types to categorize the counties.
3.3.2 Floridian County Categories for AHP
The main purpose of using advanced SWM technologies is to reduce the amount of waste
discarded in landfills. For this reason, categorization was performed based on the least recycled
waste type in each county. The counties that have the lowest recycling rates of yard trashes were
categorized in the same group while the counties that have the lowest recycling rates of various
paper waste including newspaper, office paper, cardboard were categorized in another group.
AHP calculations were performed for each group and suggested the same technology for the
counties in the same group. For instance, if in X County food waste and plastic waste have 30%
recycling rate and are the least recycled waste types, we choose the group of X County based on
its waste generation amount. If food waste generation is 14,000 TPY while plastic waste
generation is 10,000, then X County is categorized in the food waste group.
Three groups, food-yard trash, paper, and plastic trash, were obtained in the first categorization
as these were the three waste types that have the lowest recycling rates in each county.
Subgroups were obtained in the second step based on the waste generation amount of each
county.
Grouping procedure is also shown in Figure 8. 2013 Solid Waste Annual Report County MSW
and Recycling Data were used for grouping these counties. The grouping process can be
rearranged as the more annual waste generation data becomes available.
13
Waste type which has the
least recycling rate during 2013
Food
FDEP 2013 Solid Waste Annual Report
County MSW and Recycling Data
Paper Plastic
annual waste
generation
annual waste
generation
annual waste
generation
4500 -15,000
15,000-80,000
80,000-400,000
400,000-1,000,000
1 - 3.5 million
10,000-100,000
100,000-700,000
100,000-700,000
FIGURE 5. Grouping process of Floridian counties.
County groups are as follows (see Figure 9):
Group 1 consists of 10 counties: Lafayette, Holmes, Liberty, Dixie, Gilchrist, Wakulla,
Union, Hamilton, Madison and Calhoun. They have the least recycling rates for food
where their annual waste generation varies from 4500 to 15,000 tons.
Group 2 consists of 10 counties: Glades, Taylor, Franklin, Desoto, Levy, Washington,
Hendry, Okeechobee, Gadsden and Columbia. They have the second least recycling rates
for food where their annual waste generation varies from 15,000 to 80,000 tons.
Group 3 consists of 10 counties: Nassau, Walton, Citrus, Flagler, Clay, Okaloosa,
Osceola, Marion, Bay and Alachua. They have the least recycling rates for food and yard
trash where their annual waste generation varies from 100,000 to 400,000 tons.
Group 4 consists of 7 counties: Escambia, Lake, Manatee, Seminole, Collier, Volusia and
Polk. They have the least recycling rates for food where their annual waste generation
varies from 450,000 to 950,000 tons.
Group 5 consists of 8 counties: Lee, Brevard, Pinellas, Duval, Hillsborough, Orange,
Broward and Dade. They have the least recycling rates for food where their annual waste
generation varies from 1,000,000 to 3,500,000 tons.
14
Group 6 consists of 6 counties: Jefferson, Baker, Bradford, Jackson, Putnam and
Highlands. They have the least recycling rates for paper product where their annual waste
generation varies from 10,000 to 100,000 tons.
Group 7 consist of 10 counties: Gulf, Hardee, Suwannee, Charlotte, Sarasota, Indian
River, Palm Beach, Santa Rosa, St. Johns and St. Lucie. They have the least recycling
rates mainly for plastic products where their annual waste generation varies from 15,000
to 300,000 tons.
Group 8 consists of 6 counties: Sumter, Hernando, Monroe, Martin, Leon and Pasco.
They have the least recycling rates for other paper products where their annual waste
generation varies from 100,000 to 700,000 tons.
FIGURE 6. Florida map displaying groups of counties.
Group 1
Group 2
Group 3
Group 4
Group 5
Group 6
Group 7
Group 8
15
3.4 Technology Data
In the last stage, data for advanced thermal and biological SWM technologies were collected
from publicly available sources and from facilities in the U.S. The Montgomery gasification
facility in Orange County, St. Lucie plasma arc gasification project and JBI Niagara Falls
pyrolysis facility were contacted to obtain the necessary data for technologies. ABSWMT data
were collected from publicly available sources. Necessary data are the capital cost and operation
cost of technologies, revenue that the facility obtain by selling the outputs of the process, tipping
fees of the facility, permitting issues of project, efficiency and the flexibility of the process.
Some of the criteria were based on verbal assessments prior to their conversion into numerical
values (e.g., environmental impacts of technologies were assessed in the available sources as
low, medium, or high, and converted into numerical values using a scale of 1 to 9, with 9
indicating the highest performing alternative).
Technology data were used for pairwise comparison of alternatives under each criterion. For
each group of counties, 13 pairwise comparison matrices were formed using the technology data
obtained during the study. Local priorities of alternatives under each criterion were then
calculated. Finally, the local priorities were used to calculate global priorities of alternatives.
Steam classification, hydrothermal carbonization, catalytic cracking, and depolymerization
technologies are not commercially used for processing the MSW. However, there are
demonstration facilities, a steam classification facility in California and a hydrothermal
carbonization facility in Germany. Facilities were contacted, but information required for our
evaluation was not provided by them. Furthermore, the committee suggested in the first TAG
meeting that the technologies that has never been implemented in US should not be considered in
the study. For these reasons, they were not evaluated in this study.
METHODOLOGY
Our aim in this research project is to assess the emerging ASWMT for Floridian counties.
Considering SWM literature, AHP was chosen for evaluation of ASWMT and find the best
technology to manage counties’ wastes for each one of them. After ASWMT were defined, the
inputs obtained from solid waste management divisions of Floridian counties were incorporated
into a pairwise comparison matrix to rank the identified technologies. Our methodology was
defined in the following subsections.
4.1 Analytical Hierarchy Process (AHP)
The AHP method is a strong and effective tool that deals with complex decision making
problems using a set of criteria to find the best alternative (Saaty, 1980). The model is
hierarchically structured, consisting of objectives, criteria, sub-criteria, and alternatives.
Alternatives are compared with respect to the criteria set which is defined consistent with the
objective. After defining criteria set, the first step of an AHP is to weigh them by averaging the
SME opinions. Each criterion has a different impact on the selection of best alternative. Their
impacts are determined with a weighing process conducted using pairwise comparison matrices.
Pairwise comparison matrices are built based on SMEs opinions. SMEs rank the criterion set
based on their importance and the rankings are converted into values in a 1-9 scale. A 1-9 scale
16
is used to create a pairwise comparison matrix of the criterion set and is shown in Error!
Reference source not found.10. If activity i has one of the non-zero numbers in 7 assigned to it
when compared with activity j, then j has the reciprocal value when compared with i.
FIGURE 7. Explanation of 1-9 Saaty scale.
Subject matter expert judgments provided from each county are converted into pairwise
comparison matrices. Aggregation of individual judgments (AIJ) is completed using geometric
mean of corresponding elements. Each matrix element of the consolidated decision matrix is the
geometric mean of corresponding elements of SMEs’ individual decision matrices. The
consolidated matrix is used to compute the global priorities of criteria for each group of counties.
Meanwhile, their consistencies need to be checked in order to achieve a consistent result. In this
study, Expert Choice Decision Support Software is used to establish the AHP model. Global
priorities of technologies are determined by combining criteria weights and performance scores
of alternatives.
5. AHP RESULTS 5.1 Criteria Weights
The next step is to compute the weights of criteria for each group of counties. In this study,
criteria weights are computed using Expert Choice Decision Support Software. SME judgments
obtained from each county were converted into pairwise comparison matrices (Appendix B).
Aggregation of individual judgments (AIJ) is completed using geometric means. Each matrix
element of the consolidated decision matrix is the geometric mean of corresponding elements of
SMEs’ individual decision matrices. The consolidated matrix is used to compute the global
priorities of criteria for each group of counties. The Software uses the consolidated matrix to
compute the weights of criteria. After pairwise comparison matrices were incorporated into the
AHP model, results were obtained from the Software for each group. Eight 13 × 13 square
pairwise comparison matrices were created in total. The computed criteria weights of each
groups of counties for ATSWMT are shown in Figure 11.
1 3 5 7 9
Equal Slight Moderate Strong Extreme More Important
17
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18
FIGURE 8. Criteria weights for evaluation of ATSWMT.
Using computed criteria weights, gasification, pyrolysis, and plasma arc gasification
technologies were compared. According to AHP results obtained from our model, the best
alternative with respect to given criteria set is gasification and the poorest one is the pyrolysis for
all groups. The inconsistency ratio which indicates the amount of inconsistency of comparisons
is computed for each group of counties. Inconsistency ratio below 0.1 indicates that the pairwise
comparisons are consistent and do not require revision. Results show that the overall
inconsistencies for all groups are below 0.1 as shown in Figure 12.
FIGURE 9. Overall inconsistency ratios (IR) (<<0.1) for evaluation of ATSWMT.
In order to evaluate ABSWMT, a different set of criteria were used. Criteria weights were
computed using the same procedure as the evaluation of ATSWMT. The criteria weights can be
seen in Figure 13.
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19
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FIGURE 10. Criteria weights for evaluation of ABSWMT.
Using computed criteria weights, ABSWMT are compared. The inconsistency ratio which
indicates the amount of inconsistency of comparisons is computed for each group of counties.
Results show that the overall inconsistencies for all groups are below 0.1 as shown in Figure 14.
FIGURE 11. Overall inconsistency ratios (IR) (<<0.1) for evaluation of ABSWMT.
5.2 Global Priorities of Technologies
AHP results for ATSWM technologies show that gasification has the highest ranked global
priority for all groups as shown in Figure 15. However, it can be seen that weights of the plasma
arc gasification and gasification technologies for groups 5 and 8 are approximately the same. For
these counties capital cost is among the most important criteria. Because capital cost criterion
has been quite highly ranked for Groups 5 and 8, and plasma arc gasification technology comes
at the expense of high capital cost, this technology cannot be recommended for these groups.
For the first and seventh groups, where the most important criterion is public acceptability,
plasma arc gasification is not a favorable option unless a public outreach to inform the public
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21
about plasma arc gasification is done. There is still public concern about this technology. The
most important criterion for second group is environmental impact. Gasification and plasma arc
gasification perform similarly on reducing greenhouse gas emissions. Either of these two
technologies can satisfy this criterion well. Revenue is the most important criterion for the third
and sixth groups. Plasma arc gasification brings the highest revenue among alternatives and
plasma arc gasification may serve better to increase revenue in long term. Capital cost is the
most important criterion for fourth group. Hence, gasification is the most viable option providing
that counties ranked this criterion as among the most important.
FIGURE 12. Global priorities of ATSWMT.
Counties which are interested in output of the process may select any of alternatives since all of
the thermal technologies generate syngas as output which can be converted into energy. When
technology supplier availability is considered, gasification technology has been commercially
used worldwide and vendors can be found in the US.
On the other hand, AHP results for ABSWMT show that static pile composting has the highest
global priority for Group 5, IVC has the highest global priority for Groups 1 and 7, AD has the
highest global priority for Groups 2,3,4,6, and 8 as can be seen in Figure 16.
Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Group 7 Group 8
Pyrolysis 0.240 0.182 0.206 0.214 0.206 0.213 0.214 0.185
Plasma Arc Gasification 0.243 0.367 0.382 0.37 0.391 0.372 0.322 0.407
Gasification 0.516 0.451 0.412 0.416 0.403 0.415 0.463 0.408
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22
FIGURE 13. Global priorities of ABSWMT.
In Section 8, recommendations are given based on the results obtained from AHP models. These
evaluations and recommendations provide a robust basis and structural framework for the
counties which will initiate an advanced solid waste management project. In the following
section, sensitivity analysis results are presented.
6. SENSITIVITY ANALYSIS
Following the derivation of the AHP results, we performed a sensitivity analysis to evaluate how
the input uncertainty might impact the outputs. Sensitivity analysis is a technique which is used
to determine how different values of an independent variable impact a particular dependent
variable under a given set of assumptions. In our case, dependent variables are the global
priorities of the alternative technologies whereas the independent variables are the criteria
weights which are determined based on the SME opinions.
This analysis was confined to all groups of counties for advanced thermal and biological SWM
technologies. Our aim was to show how the reduction in the weight of the highest ranked
criterion affects the AHP results. Here, two criteria weights, marketability and the highest ranked
criterion, were switched in each group. In AHP, the total weight of all criteria should be equal to
1. Therefore, a sensitivity analysis for a given criteria can only be conducted by changing the
weight of at least one other criterion weight (while keeping the criteria weights other than those
two constant). In our case, we selected to switch the weights of capital cost and marketability for
all 8 groups. This enables us better observe the impact of changing the weight of capital cost
since changing the weight of marketability is rather insignificant.
Modifying criteria weights have changed the highest ranked technology in only Groups 5 and 8.
Alternative technology weights before and after the analysis can be seen in Figure 17. For Group
5, the weight of capital cost was decreased to 0.049 whereas the weight of marketability was
Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Group 7 Group 8
Windrow composting 0.130 0.125 0.151 0.158 0.170 0.157 0.135 0.154
Static pile composting 0.214 0.216 0.250 0.276 0.297 0.268 0.238 0.267
In-vessel composting 0.374 0.282 0.289 0.254 0.246 0.281 0.334 0.275
Anaerobic digestion 0.282 0.377 0.310 0.313 0.287 0.295 0.293 0.304
0.0
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23
increased to 0.170. As shown in Figure 17, these changes resulted in plasma arc gasification
being ranked the highest among three technologies. Specifically, the global weight of plasma arc
gasification increased from 0.391 to 0.407, the weight of gasification decreased from 0.403 to
0.373, and the weight of pyrolysis increased from 0.206 to 0.220. Thus the effects of high capital
cost on the global weights of plasma arc gasification and pyrolysis were decreased following a
decrease in the weight of the capital cost criterion. That means that if the capital cost becomes
insignificant in the selection of technology for decision makers (county and state governments,
stakeholders), this changes the best technology recommended by the AHP analysis. This is an
advantage of AHP due to its flexibility based on decision makers’ preferences as well as being a
disadvantage in terms of its subjective nature.
The same process was followed for Group 8. The weight of capital cost was decreased from
0.129 to 0.030. The global weight of plasma arc gasification increased from 0.407 to 0.420, the
weight of gasification decreased from 0.408 to 0.381, and the weight of pyrolysis increased from
0.185 to 0.199. Plasma arc gasification turned out to be the best technology based on revised
criteria weights. However, there was a small difference, as small as 0.001, between the global
weights of gasification and plasma arc gasification in the first case. So small modifications in
criteria weights are expected to cause a change in global priorities and rankings of technologies.
FIGURE 14. Sensitivity analysis results for ATSWMT.
Figure 18 shows the sensitivity analysis results for windrow composting, static piles composting,
IVC, and anaerobic digestion. Sensitivity analysis was conducted by switching the weights of the
highest ranked criterion and the lowest ranked criterion.
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Plasma Arc Gasification Gasification Pyrolysis
24
FIGURE 15. Sensitivity analysis results for ABSWMT.
For Groups 1, 4, 7, and 8, the highest ranked and lowest ranked technologies did not change
whereas for the remaining groups, the highest ranked technology changed following a
modification in the criteria weights. Before and after sensitivity analyses IVC was recommended
by AHP for Groups 1 and 7 whereas AD was recommended for Groups 4 and 8. The lowest
ranked technology remained as windrow composting in the first and second cases. For Groups 2,
3, and 6 the highest ranked technology became IVC while in the first case it was AD. For Group
5, the highest ranked technology became AD whereas it was static piles composting in the first
case.
Consequently, after the sensitivity analysis was conducted, the highest ranked technology has
become either IVC or AD for all groups. Due to the sensitivity analysis results, static piles
composting and windrow composting were not considered as alternatives in recommendations
section. It is not astonishing that only AD and IVC were ranked the highest when the reasons
behind this fact are investigated. They are more environmentally friendly due to their closed
system design which also increases the public acceptance rate of a possible facility project and
reduces the emissions.
Based on sensitivity analysis and AHP results, gasification, IVC, and AD have remained to
consider as alternatives in recommendations phase.
7. CURRENT STATE OF WASTE MANAGEMENT IN FLORIDA
Current waste management practices of Floridian counties were investigated before the final
recommendations were provided. Information regarding currently operating waste-to-energy and
composting facilities are presented in the following sub-sections.
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25
7.1 Waste to Energy Facilities in Florida
Waste-to-energy (WTE) facilities combust MSW to produce electrical energy. A great range of
waste types from semisolid to liquid can be processed using WTE technologies. Currently, the
most commonly known WTE technology for MSW processing is incineration of the material in a
combined heat and power (CHP) plant. The efficiencies for the incineration process are
approximately 20-25%, in terms of energy production (World Energy Council, 2013). The size
of the plants can vary significantly, both in terms of waste input capacity and power output
obtained from the incineration of feedstock.
The advantage of WTE technologies over advanced SWM technologies is that there is less
uncertainty about their markets and process characteristics since they are established
technologies, especially in Florida. When it comes to apply advanced SWM technologies for
treatment of waste, their efficiencies, costs, and markets are subject to uncertainty. Both the
operational and the financial risks are high; however, they are more environmentally friendly
than incineration. The information on WTE facilities in Florida are shown in Table 2 (Michaels,
2014). Florida started with one small WTE facility in 1982 and increased the number of its
facilities up to 11 operating WTE facilities as of 2014. Florida has established the largest
capacity to burn MSW of any state in the country.
TABLE 1. WTE facilities in Florida.
Name of Facility Opening
Year
Design
Capacity
(TPD)
Operating
Status Technology
# of
Boilers
Gross Electric
Capacity
(MW)
# of
Houses
Bay County WTE
Facility 1987 500 Operating Mass Burn 2 15 4000
Hillsborough
County Resource
Recovery Facility
1987 1800 Operating Mass Burn 4 46.5 26,000
Lake County
Resource
Recovery Facility
1991 528 Operating Mass Burn 2 14.5
Lee County
Resource
Recovery Facility
1994 1,836 Operating Mass Burn 3 57.3
McKay Bay
Refuse‐to‐Energy
Facility
1985 1000 Operating Mass Burn 4 22 12,000
26
Miami‐Dade
County Resource
Recovery Facility
1982 3000 Operating RDF 4 77 45,000
Palm Beach
Renewable
Energy Facility
#1
1989 2000 Operating RDF 2 61 40,000
Palm Beach
Renewable
Energy Facility
#2
2015 3000 Under
Construction Mass Burn 3 96 40,000
Pasco County
Solid Waste
Resource
Recovery Facility
1991 1050 Operating Mass Burn 3 29.7
Pinellas County
Resource
Recovery Facility
1983 3150 Operating Mass Burn 3 75 43,000
Wheelabrator
South Broward
Inc.
1991 2250 Operating Mass Burn 3 66 38,000
Palm Beach Renewable Energy Facility #2 (Figure 19) is the largest WTE facility in the country
based on its gross electric capacity. The net electrical energy produced by the facility is enough
to power 40,000 homes. There are various environmental equipment in the facility for removal of
particulates, acid gases, nitrogen oxides, and mercury. According to the U.S. EPA, a new WTE
facility similar to Facility #2 would produce 63 percent less CO2, 94 percent less SO2 , and 10
percent less NOx than a traditional coal-fired power plant (Greenwalt, 2015). Palm Beach County
is not recommended to install any advanced technology since its recently opened WTE facility.
The WTE facilities of other counties were launched in or before 1994. Hence, they are
considered for implementation of an advanced SWM technology.
27
FIGURE 16. Palm Beach Renewable Energy Facility (courtesy by Babcock & Wilcox Power
Generation Group, Inc., 2014).
7.2 Composting and AD Facilities
It was stated in Florida 75% Recycling Report that organics (food waste, yard trash and paper)
represent 40% of MSW and also must be recycled at dramatically higher rates to meet the 2020
goal (FDEP, 2010). According to the Florida Department of Environmental Protection (FDEP)
database, 11 facilities (out of a total of 24 full-scale facilities) are permitted or registered to
accept food waste for composting (Figure 20) (Zimms and Ver Eecke, 2012). Recently in 2011,
two facilities were opened in Florida by the Waste Management Inc, one in Okeechobee serving
southwest Florida and another one in Apopka serving central Florida. Both facilities are utilizing
the AC Composter covered composting technologies supplied by Engineered Compost Systems
(ECS).
28
FIGURE 17. Organic waste treatment facilities in Florida (Zimms and Ver Eecke, 2012).
$2 million was invested in Okeechobee composting facility which was opened in November
2011 (Figure 21). The Okeechobee facility is the first fully-dedicated organics composting
facility in South Florida accepting yard trimmings and preconsumer food waste (Zimms and Ver
Eecke, 2012). The site is configured to accommodate 11 adjacent aerated static piles with a
capacity permitted to process up to 30,000 tons/year (15,000 tons of yard trimmings and 15,000
tons of preconsumer food waste). Publix provided the organic waste from its stores in Miami
Dade and Palm Beach. It has almost reached its capacity after 10 months of operation. Currently,
finished compost is being sold to Garick which is a lawn and garden products manufacturer.
Jacksonville
Zoological
Gardens
Agricyle
WW One
Stark Vista Landfill
Reedy Creek Improvement
District (Disney)
BS Ranch & Farm
1 Stop Landscape Supply
Okeechobee Landfill, Inc.
Weekley Bros. Industrial Park
Franklin County
Central Landfill
29
FIGURE 18. Okeechobee composting facility (courtesy by Onsite Services, 2015.
$4 million was invested in 150-acre Apopka “Vista” composting facility which is permitted to
process up to 45,000 TPY of material and currently operating at approximately 22,000 TPY. The
facility receives yard trimmings from Orange County as well as pre and postconsumer food
waste (including meat and dairy proteins). The Vista facility utilizes the same covered ASP
system in use at the Okeechobee facility. Currently, finished compost is only being used on the
neighboring landfill as cover (Zimms and Ver Eecke, 2012).
Another recently opened organic waste treatment facility was launched in 2014 by Harvest
Power. The facility uses AD technology to convert organic waste into energy in Reedy Creek
Improvement District (RCID). It was reported by Harvest Power that the facility can process
more than 120,000 tons of organic materials annually while generating 5.4 megawatts of
combined heat and power. Orange County is not recommended to open an ABSWMT since an
AD facility has recently launched in the county. Even if the facility is privately owned, it
receives the food scraps from supermarkets, restaurants, and the municipality in Orange County.
Consequently, the composting facilities presented here were opened in 2011 whereas our
recommendations were based on 2014 annual food waste generation data. Only Orange County
is not recommended to invest in an ABSWMT. While there are recently opened composting
facilities in Florida, based on 2014 reports, their residing counties are still under 75% recycling
rate. Hence, they will need to do further improvements in order to reach that goal, some which
are discussed in the recommendations section of this report.
8. RECOMMENDATIONS
The final part of this study is to provide recommendations for the implementation of advanced
SWM technologies based on the results obtained from AHP analysis, sensitivity analysis results
combined with the current waste management practices of the counties. Other important issues
that are elaborated in this section are the current recycling rates of counties, the amount of waste
that should not be disposed in landfills to reach 75% recycling goal, and waste treatment
capacities of the technologies. Final recommendations are given considering these issues as well
as the proximity of counties to each other. These evaluations and recommendations provide a
robust structural framework for the counties to develop insights on their potential advanced
SWM projects.
30
8.1 Current Recycling Rates of Counties
Our approach here is to assume that all counties are required to reach 75% recycling goal to
achieve the statewide goal county by county. In the first place, current recycling rates and the
least amount of waste that should be treated to reach 75% recycling goal are determined and
shown in Table 3 for all 67 counties. According to the 75% Recycling Goal Report (FDEP,
2010), amount of waste currently combusted in WTE facilities should be included in the overall
75% recycling goal as legislatively directed. The recycling rates for the counties were calculated
based on this assumption.
TABLE 2. Recycling rates and waste generation in Floridian counties A: County name, B:
Current recycling rate, and C: The least amount of waste that should not be disposed in landfills
(TPY).
A B C A B C A B C
Broward 57% 659,901 Clay 28% 86,552 Desoto 19% 21,733
Orange 51% 659,579 Osceola 31% 83,368 Levy 16% 17,088
Miami-Dade 58% 623,149 Sumter 25% 78,066 Franklin 35% 14,145
Duval 47% 512,472 Walton 6% 77,945 Hardee 6% 12,806
Polk 26% 483,236 Hernando 27% 76,889 Taylor 25% 10,948
Volusia 48% 305,490 Flagler 21% 65,714 Baker 19% 10,853
Palm Beach 65% 264,914 Highlands 14% 64,708 Washington 3% 10,458
Brevard 57% 240,047 Hillsborough 71% 62,477 Putnam 70% 9,459
Seminole 37% 207,725 Alachua 64% 60,518 Bradford 39% 9,166
Sarasota 53% 177,532 Nassau 33% 54,728 Hamilton 6% 7,947
Escambia 31% 167,457 Suwannee 43% 45,781 Dixie 3% 7,529
St. Johns 24% 162,850 Gadsden 12% 42,041 Gulf 28% 7,402
Manatee 48% 154,261 Martin 62% 39,001 Jefferson 29% 6,939
Collier 53% 134,533 Okeechobee 15% 36,723 Calhoun 22% 6,869
Lake 39% 126,922 Citrus 45% 36,314 Wakulla 17% 6,417
Santa Rosa 19% 125,644 Bay 65% 36,184 Union 21% 5,683
Leon 45% 124,321 Columbia 36% 34,477 Madison 22% 5,446
Charlotte 35% 118,147 Monroe 45% 33,902 Gilchrist 13% 5,257
St. Lucie 39% 114,572 Glades 2% 29,355 Liberty 2% 4,523
Okaloosa 22% 113,338 Pasco 71% 28,754 Lafayette 25% 2,129
Indian River 34% 111,004 Jackson 10% 28,403 Holmes 29% 2,101
Marion 44% 100,363 Pinellas 73% 23,840 Hendry 74% 307
31
Lee county which is the only county with a recycling rate (78%) higher than 75% as of 2014
was not recommended to invest in a SWM project; however, it might send its waste to the
adjacent counties.
The least amount of waste that should be treated in an advanced SWM facility is less than
3000 TPY for Lafayette, Holmes, and Hendry counties. These counties are not recommended
to install an advanced SWM facility. The reason behind this suggestion is that any of the
technologies suggested by AHP (IVC, AD, and gasification) are not suggested to operate
under 3000 TPY to operate in an economically feasible way. However, they might transfer
their waste to adjacent counties to reach 75% recycling goal.
8.2 Maximum and Minimum Capacities of Alternatives
Three technologies including gasification, AD, and IVC were recommended as the best
technologies by the AHP and sensitivity analysis results. There are upper and lower limits for the
capacities that these technologies can operate in an economically feasible way.
The recommended minimum capacity for an AD system is 15,000 tons per year (TPY)
(Davis, 2014) whereas the largest AD system that is commercially available can process
300,000 TPY.
Currently available design capacities for IVC in North America is between 3000 and 160,000
TPY (Ulloa, 2008 & Spencer, 2007).
A minimum capacity of approximately 400,000-500,000 TPY is needed for gasification to be
economically feasible (Aguado and Serrano, 1999). However, there are no existing facilities
in the world that provide the minimum capacity necessary for the economic feasibility and
the largest gasification facility in the world can convert up to 350,000 TPY in practice, which
is Air Products' Tees Valley Renewable Energy Facility in England (Air Products, 2015).
Larger capacity gasifiers are suggested for treatment of solid waste since they perform better
at variable fuel feed processing. Furthermore, they can maintain uniform process temperature
that increases the output quality.
The counties with the largest waste disposed in landfills were considered for gasification
technology since the minimum gasification capacity is assumed as 400,000 TPY. In Figure
22, annual waste generation and amount of waste landfilled for the counties considered to
install a gasification technology are shown. The least amount of waste that needs to be
treated to reach 75% recycling rate were previously presented in Table 3 and as a result,
Broward, Orange, Miami-Dade, Duval, and Polk counties need to treat more than 400,000
TPY. Volusia is also considered for gasification technology since it needs to treat more than
300,000 TPY and can be grouped with an adjacent county to provide 100,000 TPY. The rest
of the counties in Figure 22 should treat less than 300,000 TPY to reach 75% recycling rate.
Due to this fact, they are not recommended to install a gasification facility. Establishing
gasification facility only in Broward, Orange, Miami-Dade, Duval, Polk, and Volusia may
enable the facility receive minimum required amount of waste to operate in an economically
feasible way.
32
FIGURE 19. Counties with annually 400,000 tons or greater waste landfilled.
Small and larger counties that share a border were grouped together. Transferring waste to long
distances increases the cost, number of waste trucks on the road, and environmental pollution
caused by the trucks. 6 gasification facilities were recommended to be installed in Miami-Dade,
Broward, Orange, Duval, Polk, and Volusia counties. The least amount of waste that needs to be
treated by these 6 gasification facilities is approximately 4M TPY and the contribution to the
75% recycling goal is estimated as 13% in total. This contribution increases current recycling
rate from 53% (including combusted waste) to 66%. The details for each of the recommended
facility are given as follows:
Miami-Dade County
Miami Dade and Monroe counties are recommended to install a gasification facility to treat their
waste jointly. The facility is recommended to be located in Miami Dade because of the fact that
the amount of waste that needs to be transferred to the gasification facility from Miami Dade is
larger than Monroe County. Transportation costs are higher for large amounts of waste as well as
the safety risks. The least amount of waste that needs to be treated in the gasification facility is
approximately 650,000 TPY to achieve 75% recycling goal. In such a case, their estimated
contribution to overall state goal is estimated to be 2.04%.
Broward County Broward and Collier counties are recommended to install a gasification facility to treat their
waste. The facility is recommended to be located in Broward because the amount of waste that
needs to be transferred to the gasification facility from Broward is larger than Collier. The least
5%
15%
25%
35%
45%
55%
65%
75%
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
4,000,000
Rec
ycl
ing R
ates
Annual
Was
te G
ener
atio
n
Counties
Landfilled Collected Minimum Gasification Capacity Recycling Rates
33
amount of waste that needs to be treated in the gasification facility is approximately 795,000
TPY to achieve 75% recycling goal. If conducted, their contribution to overall state goal is
estimated to be 2.46%.
Orange County
Orange County needs to treat 660,000 tons waste instead of discarding them in landfills to reach
75% recycling goal. Orange County has border to Seminole, Lake, Osceola, and Brevard
Counties. Orange and Osceola Counties are grouped together and need to treat at least 745,000
TPY in a gasification facility. Under such a scenario, their contribution to overall state goal is
estimated as 2.30%.
Duval
Duval County needs to treat at least 510,000 TPY. The County has borders to Nassau, Baker,
Clay, and St. Johns Counties. Nassau County has border only to Duval County in Florida. For
that reason, Nassau is grouped with Duval County. They need to treat 565,000 TPY in a
gasification facility. Under such a scenario, their contribution to overall state goal is estimated as
1.76%.
Polk
Polk County needs to treat at least 480,000 TPY. It shares a border with Osceola, Lake, Sumter,
Pasco, Hillsborough, Hardee, and Highlands Counties. Osceola was previously grouped with
Orange County. There is also Manatee County in southwest of the Polk. They were in the same
group in the first county categorization. They need to treat at least 640,000 TPY in a gasification
facility. Under such a scenario, their contribution to overall state goal is estimated as 1.98%.
Volusia
Volusia County has border to Lake, Seminole, Brevard, Marion, Putnam, and Flagler counties.
Volusia, Seminole, and Lake Counties fell under the same group in the first categorization. They
are grouped together. They need to treat at least 640,000 TPY in a gasification facility. Under
such a scenario, their contribution to overall state goal is estimated as 1.98%.
The rest of the counties are considered for AD or IVC. In the light of the information given about
the technology capacities, the counties that have annual landfilled waste amount less than
350,000 tons are recommended to install IVC or AD (whichever is suggested by the AHP
results) to increase their recycling rates up to 75%. Table 4 displays the counties for technology
capacity and AHP results interaction. It can be seen in the Table 4, that the counties which send
more than 160,000 tons food waste per year to landfills was recommended to install AD whereas
for the counties which send less than 15,000 tons of food waste per year to landfills are
recommended to install IVC. Washington, Bradford, Taylor, Baker, Jefferson, Liberty, Wakulla,
Hamilton, Dixie, Hardee, Madison, Okeechobee, Gulf, Union, Calhoun, Glades, Holmes, and
Lafayette are the counties which are not recommended to install AD or IVC; however, they can
transfer their waste to adjacent counties. Because, the amount of food waste that they send to
34
landfills is less than 3000 TPY which is lower than the minimum suggested capacity for AD and
IVC.
TABLE 3. AHP results and technology capacities.
Amount of food
waste landfilled
(TPY)
The highest ranked technology based on AHP and sensitivity analysis
IVC AD IVC / AD
3000-15,000
TPY (IVC)
Gilchrist
Santa Rose
Suwannee
St. Lucie
Sumter
Hernando
Martin
Levy Franklin Desoto
Gadsden Jackson Putnam
Highlands Columbia Walton
Flagler Citrus
15,000-160,000
TPY
(IVC or AD)
Charlotte
St. Johns
Indian River
Sarasota
Palm Beach
Escambia
Pasco
Leon
Brevard
Pinellas
Hillsborough
Bay
Alachua
Clay
Okaloosa
Marion
The counties that are considered for gasification technology are also not included here (Miami-
Dade, Monroe, Broward, Collier, Orange, Osceola, Duval, Nassau, Polk, Manatee, Volusia,
Seminole, and Lake). Under the 160,000-300,000 tons of food waste per year category, there is
no county since Orange, Broward, and Miami-Dade are recommended to install gasification
technology because of the large amount of waste that they discard in landfills each year.
Considering the interaction cells in the Table 4, Gilchrist, Santa Rose, Suwannee, St. Lucie,
Charlotte, St. Johns, Indian River, Sarasota, and Palm Beach counties are recommended to
implement IVC since the highest ranked technology in both AHP and sensitivity analyses
was IVC. The capacity of in vessel composting is appropriate for the amount of food waste
that they send to landfills.
Levy, Gadsden, Highlands, Flagler, Franklin, Jackson, Columbia, Citrus, Desoto, Putnam,
and Walton counties are also recommended to implement IVC because the amount of food
waste landfilled annually is best suited to IVC and sensitivity analysis suggests IVC. Even
though AHP suggested AD, either of them can be implemented based on our approach.
AD is recommended for Escambia, Pasco, Leon, Brevard, Pinellas, and Hillsborough
counties because the highest ranked technology in both AHP and sensitivity analyses was
AD. The amount of food waste landfilled is higher than 15,000 TPY for these counties. The
capacity of AD is best suited to this amount.
The counties that have not been yet recommended any technology are then grouped with the
counties that have been recommended a technology based on their geographical proximity.
Furthermore, any county that has been suggested to implement the same technology are grouped
together if they have a border to each other and their total amount of food waste landfilled
annually does not exceed the capacity of the recommended technology. Further groupings are as
follows:
35
Santa Rosa, Okaloosa, and Walton counties are in close proximity to each other. All of them
were recommended to install IVC. The total amount of food waste that they landfill is
approximately 29,000 TPY. Okaloosa constitutes the highest amount with 16,000 TPY and
shares a border with the two other counties. These three counties are grouped together. If
conducted, their contribution to the overall state goal is estimated as 0.09%.
Holmes, Washington, Bay, Jackson, Calhoun, and Gulf counties are recommended to install
IVC. The amount of food waste that is landfilled is approximately 31.5 thousand TPY. Bay
County constituted the highest amount with 22.5 TPY. These six counties are grouped
together. If conducted, their contribution to overall state goal is estimated as 0.1%.
Gadsden, Liberty, Franklin, and Wakulla counties are grouped together and recommended to
install IVC. The amount of food waste that is landfilled is approximately 15,000 TPY.
Gadsden constituted the highest amount with approximately 9,000 TPY. These four counties
are grouped together. Under such a scenario, their contribution to overall state goal is
estimated as 0.05%.
Leon, Taylor, and Jefferson counties are grouped together and recommended to install an AD
facility. The amount of food waste that is landfilled is approximately 28,000 TPY. Leon
constituted the highest amount with approximately 24,000 TPY. These three counties are
grouped together. Under such a scenario, their contribution to overall state goal is estimated
as 0.09%.
Suwannee County is recommended to install an IVC facility to manage 6840 tons of food
waste landfilled annually. The county shares a border with Madison, Hamilton, Gilchrist,
Lafayette, Columbia, and Dixie counties. They are suggested to transfer their food waste to
Suwannee County. The total food waste that is supposed to be treated with this grouping is
20,000 TPY. Under such a scenario, their contribution to overall state goal is estimated as
0.06%.
An IVC facility is recommended to be established by Alachua and Marion counties jointly to
treat the food waste of also Union, Bradford, Levy, Putnam, Clay, Baker, St. Johns, and
Flagler counties. The total food waste that is supposed to be treated with the proposed way is
approximately 106,000 TPY. Due to the close proximity of three counties with a high food
waste landfilled, the amount of food waste that should be treated in the recommended facility
is higher than others. Under such a scenario, their contribution to overall state goal is
estimated as 0.33%.
An AD facility is recommended to be installed by Citrus, Hernando, Sumter, Pasco,
Hillsborough, and Pinellas. The total amount of food waste which is landfilled by these
counties is 326,000 TPY. Pinellas County constitutes the highest amount with 155,000 TPY.
Under such a scenario, their contribution to overall state goal is estimated as 1.01%.
At the end, Palm Beach should treat at least 265,000 tons of waste per year. This large
amount of waste can be treated using gasification. However, Palm Beach has recently opened
a WTE facility with a capacity of 3000 TPD. Its waste can be treated in its recently opened
facilities with adjacent counties namely Glades, Hendry, Charlotte, and Sarasota. The
contribution of this proposed grouping to the overall recycling rate is estimated as 1.83%.
The most important consideration for this facility is that long distances are supposed to be
travelled by Charlotte and Sarasota counties.
Brevard should treat at least 240 thousand tons of waste to reach 75% recycling goal.
Highlands, Indian River, St. Lucie, Okeechobee, Martin, Hardee, and Desoto counties are
grouped with Brevard. The total amount of waste that should be treated in the recommended
36
gasification facility is approximately 576,000 TPY. The contribution of this proposed facility
to the overall recycling rate is estimated as 1.75%.
Escambia is recommended to install AD whereas the adjacent counties are recommended to
install IVC based on both sensitivity analysis and AHP results. Escambia might install a
small scale AD facility to treat 24,000 tons of food waste annually. The contribution of this
proposed facility to the overall recycling rate is estimated as 0.07%.
It is assumed that no residual is landfilled after waste conversion by gasification, AD, and IVC.
The calculation of the contribution to the overall state recycling rates are completed based on this
assumption. The proposed grouping for joint waste management in Floridian counties can be
studied further to investigate the economic and environmental costs of transferring waste to the
suggested counties. It should be considered that transferring waste to the counties in long
distances increases not only costs but also the number of required waste transfer stations which
increases local air pollution, waste trucks in traffic, and the greenhouse gas emissions released by
them. Our recommendation here is to establish the facility in a county with the highest amount of
waste to be treated and transfer the waste from other counties that share a border with it. Figure
23 shows the new grouping as well as the technologies suggested for each groups of counties.
FIGURE 20. Groups of counties in the final recommendations.
9. LIMITATIONS AND CONCLUSION
In this study, advanced solid waste management technologies that may help the State of Florida
reach its 75% recycling goal were identified and evaluated. To this end, Analytical Hierarchy
Process which is a multi-criteria decision making method was utilized to evaluate the
technologies with respect to several criteria including their capital cost, revenue, environmental
impact, etc. In order to conduct the method, subject matter experts from solid waste management
departments of 67 Floridian counties were contacted. Furthermore, sensitivity analysis was
conducted to investigate the impact of changing criteria weights on the evaluation results.
Recommendations were provided based on the analysis results, current waste management
37
practices, and recycling rates in the counties, their geographical proximity to each other, and
waste treatment capacities of the recommended technologies. Miami-Dade, Broward, Orange,
Duval, Polk, and Volusia counties that should treat at least 300,000 TPY to reach 75% recycling
goal were recommended to install a gasification facility. They were grouped with adjacent small
counties to treat their waste jointly. The rest of the counties were recommended to install AD or
IVC based on the amount of food waste discarded in landfills each year combined with the
capacities of AD and IVC and analytical hierarchy process results. The total improvement in the
recycling rates obtained by the recommended facilities is 17.9%, which increases the current
statewide recycling rate from 53% (including combustion) to 70.9%. This rate can be improved
by converting different kind of wastes than food in the recommended anaerobic digestion and
composting facilities.
Certain limitations apply to the research conducted. The most challenging phase of this work was
to collect a consistent data for ASWMT. Characteristics of ASWMT vary among different
applications. Their operational and investment costs, revenues, markets of products, energy
requirements depend on several factors including the geographic location of the facility, local
waste generation, the type and composition of waste processed, local regulations, and
governmental policies. Their characteristics are not changed proportionally by the rate of change
in the factors. Available data for these technologies are also limited due to their emerging nature
and their applications on solid waste processing are not widespread.
Further limitations of this study apply to the evaluation tool, AHP. The ranking of the
technologies are determined based on the judgments by subject matter experts that can be biased.
The SMEs who are specialists in their fields were selected for criteria ranking in order to reduce
the bias. Application of the technologies to different sites and different waste compositions may
result in different performances. The performances of technologies, their operation costs,
environmental impacts, and waste conversion rates might change under their specific
implementations due to the uncertainties discussed throughout this report.
38
APPENDICES
APPENDIX A: SELECTED DOCUMENTS REVIEWED
Aguado, J. and Serrano, D. P., Feedstock Recycling of Plastic Wastes, Vol. 1, Royal Society of
Chemistry, Cambridge, 1999, p 21.
Air Products. [Cited 2015 11/10/2015]. Tees Valley Renewable Energy Facilities. Available
online at: [http://www.airproducts.co.uk/microsite/uk/teesvalley/]
Antmann, E.D., Shi, X., Celik, N., and Dai, Y.D. “Continuous-discrete simulation-based decision
making framework for solid waste management and recycling programs,” Computer and
Industrial Engineering 65(3): 438-454 (2011).
Babcock & Wilcox Power Generation Group, Inc., 2014. Palm Beach Renewable Energy Facility
No. 2. available online at: http://www.babcock.com/library/Documents/pch604.pdf
Belevi, H., & Baccini, P. “Long-term behavior of municipal solid waste landfills,” Waste
Management & Research 7(1): 43-56 (1989).
Wiles, C. C. “Municipal solid waste combustion ash: state-of-the-knowledge,” Journal of
Hazardous Materials 47(1): 325-344 (1996).
Chen, Y., Cheng, J. J., & Creamer, K. S. “Inhibition of anaerobic digestion process: a review,”
Bioresource Technology 99(10): 4044-4064 (2008).
Chirico, J. There is No Such Thing as “Away”: An Analysis of Sustainable Solid Waste
Management Technologies. Atlanta, Georgia: Program in Science, Technology, and
Innovation Policy, Georgia Institute of Technology, 2009.
Davis, R.C. Anaerobic Digestion: Pathways for Using Waste as Energy in Urban Settings.
Available online at:
[https://sustain.ubc.ca/sites/sustain.ubc.ca/files/Sustainability%20Scholars/GCS%20reports
%202014/Examining%20the%20current%20state%20of%20anaerobic%20digestion%20faci
lities.pdf], 2014.
de Holanda, M. R., & Balestieri, J. A. P. “Cogeneration in a solid-wastes power-station: a case
study,” Applied Energy 63(2): 125-139 (1999).
Florida Department of Environmental Protection (FDEP) 75% Recycling Goal Report to the
Legislature. Available online at:
[http://www.dep.state.fl.us/waste/quick_topics/publications/shw/recycling/75percent/75_rec
ycling_report.pdf], 2010.
Florida Department of Environmental Protection (FDEP). Solid Waste Annual Report Data.
Available online at:
[http://www.dep.state.fl.us/waste/categories/recycling/SWreportdata/13_data.htm], 2013.
Key Note Publications Ltd. (2007) Global Waste Management Market Report. Pub ID:
KEYL1470786. Available online at:
[http://www.seas.columbia.edu/earth/wtert/sofos/Key_Global_Waste_Generation.pdf]
McKay, G. “Dioxin characterisation, formation and minimisation during municipal solid waste
(MSW) incineration: review,” Chemical Engineering Journal 86(3): 343-368 (2002).
Michaels, T. (2014). The 2014 ERC Directory of Waste-to-energy Facilities. The Energy
Recovery Council. Available online at:
[http://energyrecoverycouncil.org/userfiles/files/ERC_2014_Directory.pdf]
Guddeti, R. R, Depolymerization of The Waste Polymers in Municipal Solid Waste Streams
Using Induction-coupled Plasma Technology, Vol. 61-03, Drexel University, Philadelphia,
2000, p 161.
39
Hokkanen, J., & Salminen, P. “Choosing a solid waste management system using multicriteria
decision analysis,” European Journal of Operational Research 98(1): 19-36 (1997).
Holmgren, K. “Role of a district-heating network as a user of waste-heat supply from various
sources -the case of Goteborg,” Applied Energy 83(12):1351–67 (2006).
Moustakas K. and Loizidou M. Solid Waste Management through the Application of Thermal
Methods, INTECH Open Access Publisher, Rijeka, 2010, P 232.
Onsite Services, OKEECHOBEE COMPOSTING FACILITY, available online at
http://www.oesfl.com/portfolio-view/okeechobee-composting-facility/. [cited in September
2015]
Regional Municipality of Halton. EFW Technology Overview. Available online at:
[www.halton.ca/common/pages/UserFile.aspx?fileId=17470], 2007.
Saaty, T. L. The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.
Sakai, S., Sawell, S. E., Chandler, A. J., Eighmy, T. T., Kosson, D. S., Vehlow, J., ... & Hjelmar,
O. “World terends in municipal solid waste management,” Waste Management 16(5): 341-
350 (1996).
Spencer, L. R. “What’s new- in-vessel composting,” BioCycle 48(5) (2007).
Suksankraisorn, K., Patumsawad, S., & Fungtammasan, B. “Combustion studies of high
moisture content waste in a fluidised bed,” Waste Management 23(5): 433-439 (2003).
Ulloa, P. Overview of Food Waste Composting in the U.S. Internal Report, Earth Engineering
Center, Columbia University, 2008.
United States Environmental Protection Agency (USEPA). [Cited 2015 5/22/2015]. Wastes-
Municipal Solid Waste. Available online at:
[http://www.epa.gov/epawaste/nonhaz/municipal/.]
URS Corporation. Evaluation of Alternative Solid Waste Processing Technologies. Available
online at:
[http://lacitysan.org/solid_resources/strategic_programs/alternative_tech/PDF/final_report.p
df], 2005.
World Energy Council (2013). World Energy Resources 2013 Survey: Summary. World Energy
Council, London. ISBN: 978 0 946121 29 8.
Zarske, M. S., Yowell, J., and Straten, M. [Cited 2016 2/15/2016]. Landfills: Building Them
Better. Available online at:
[https://www.teachengineering.org/view_lesson.php?url=collection/cub_/lessons/cub_enven
g/cub_enveng_lesson05.xml]
Zimms, M. and Ver Eecke, D. “Food waste composting progress in the southeast,” BioCycle
53(10) (2012).
40
APPENDIX B: PAIRWISE COMPARISON MATRICES FOR ATSWMT
C1: Revenue C2: Tipping fee C3: Capital cost C4: Operation cost C5: Development period C6:
Flexibility of process C7: Land requirement of facility C8: Net conversion efficiency C9: Ease of
permitting C10: Marketability C11: Environmental impact C12: Public acceptability C13: Number of
facilities
Black values in the matrices indicate a more important criterion in the row compared to the criterion
in the column whereas red values indicate the opposite.
The consolidated matrices were directly entered into the Expert Choice Decision Support System.
TABLE B.2. Consolidated matrix of Group 1 for criteria pairwise comparisons.
Group 1 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13
C1 1 1.00 2.00 1.41 3.87 2.83 4.90 3.87 2.83 3.46 1.15 4.90 3.46
C2
1 2.45 1.41 4.00 2.45 4.47 4.00 2.45 2.83 1.41 5.48 3.87
C3
1 1.15 2.83 3.87 2.83 4.90 1.00 4.47 1.73 3.87 5.29
C4
1 2.83 3.16 3.16 4.90 1.22 3.74 2.45 4.24 4.90
C5
1 6.00 2.00 7.00 2.00 6.32 4.24 2.00 6.93
C6
1 6.00 2.00 4.00 1.22 1.41 7.00 2.45
C7
1 8.00 3.00 6.93 5.29 2.00 7.48
C8
1 6.00 1.22 3.16 8.00 1.00
C9
1 4.90 3.16 4.00 5.48
C10
1 1.73 7.35 1.41
C11
1 5.66 2.83
C12
1 8.49
C13
1
TABLE B.3. Consolidated matrix of Group 2 for criteria pairwise comparisons.
Group 2 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13
C1 1 2.29 1.10 1.26 1.91 1.71 1.82 1.33 2.88 2.88 3.30 3.17 5.77
C2
1 1.82 1.59 1.34 1.32 1.59 1.14 1.71 2.06 4.00 1.82 4.58
C3
1 1.10 2.15 1.65 2.29 1.08 4.00 4.38 3.17 3.11 6.21
C4
1 3.17 1.82 3.42 1.10 3.78 4.93 2.52 3.42 6.65
C5
1 1.44 1.26 1.69 1.00 2.52 5.43 1.26 3.63
C6
1 1.26 1.39 1.44 3.17 4.38 1.14 4.00
C7
1 1.71 1.06 2.29 5.01 1.14 3.78
C8
1 1.75 2.62 2.38 1.74 3.16
C9
1 1.59 5.52 1.26 3.42
C10
1 6.84 1.82 2.52
C11
1 5.65 8.32
C12
1 3.91
C13
1
41
TABLE B.4. Consolidated matrix of Group 3 for criteria pairwise comparisons.
Group 3 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13
C1 1 1.51 1.00 1.07 3.26 2.88 4.88 2.51 5.27 3.10 2.00 1.78 2.20
C2
1 1.15 1.12 2.42 2.54 3.46 2.49 3.45 1.94 1.70 1.68 2.08
C3
1 1.26 3.03 2.64 4.65 2.88 4.82 2.82 2.14 1.48 2.33
C4
1 3.14 2.57 4.53 2.71 4.90 2.49 1.76 1.37 2.25
C5
1 1.12 1.78 1.02 1.78 1.16 1.97 1.57 1.01
C6
1 2.14 1.16 2.14 1.01 1.47 1.36 1.32
C7
1 1.38 1.26 1.67 2.80 2.09 1.19
C8
1 1.65 1.00 1.54 1.18 1.07
C9
1 1.85 2.67 2.08 1.28
C10
1 1.07 1.31 1.20
C11
1 1.22 1.62
C12
1 1.49
C13
1
TABLE B.5. Consolidated matrix of Group 4 for criteria pairwise comparisons.
Group 4 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13
C1 1 1.51 1.12 1.05 2.54 3.05 3.83 2.46 2.57 1.59 1.45 2.05 2.51
C2
1 1.63 1.51 1.85 2.88 2.99 2.12 1.59 1.18 1.12 1.86 2.06
C3
1 1.12 3.71 4.56 5.41 3.09 3.36 2.22 1.62 2.80 2.78
C4
1 2.67 4.11 5.03 2.96 2.49 1.84 1.41 2.74 2.45
C5
1 1.22 2.57 1.28 1.32 1.11 2.08 1.04 1.35
C6
1 1.87 1.67 1.62 1.35 3.07 1.20 1.31
C7
1 2.08 2.88 1.76 3.60 2.35 1.07
C8
1 1.16 1.32 2.70 1.24 1.61
C9
1 1.05 2.22 1.26 1.67
C10
1 2.09 1.20 1.95
C11
1 1.86 2.26
C12
1 1.94
C13
1
42
TABLE B.6. Consolidated matrix of Group 5 for criteria pairwise comparisons.
Group 5 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13
C1 1 1.03 1.30 1.15 2.27 2.35 4.80 2.93 3.69 2.61 2.43 2.61 2.49
C2
1 1.02 1.25 2.35 3.55 5.57 4.34 5.10 3.81 2.99 3.95 2.93
C3
1 1.74 3.57 3.73 5.97 4.62 5.53 3.20 2.49 2.70 3.57
C4
1 3.17 2.54 5.22 3.20 4.92 2.63 2.30 2.46 2.91
C5
1 1.08 2.40 1.89 2.30 1.02 1.05 1.03 1.79
C6
1 2.83 1.89 2.86 1.22 1.10 1.04 1.43
C7
1 1.43 1.32 1.89 1.78 1.84 1.64
C8
1 1.50 1.00 1.56 1.40 1.06
C9
1 2.09 2.24 2.14 1.58
C10
1 1.08 1.08 1.03
C11
1 1.15 1.35
C12
1 1.27
C13
1
TABLE B.7. Consolidated matrix of Group 6 for criteria pairwise comparisons.
Group 6 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13
C1 1 1.26 1.44 1.59 2.15 5.24 1.82 5.19 2.47 3.48 5.04 1.59 6.00
C2
1 1.39 1.44 1.82 5.01 1.59 5.04 2.47 2.88 4.82 1.69 5.85
C3
1 1.26 2.00 4.64 1.82 4.48 2.88 2.29 4.16 1.05 4.82
C4
1 1.52 4.00 1.04 4.00 1.82 2.88 4.22 1.59 5.24
C5
1 2.88 1.26 1.91 1.26 1.44 2.00 1.26 2.71
C6
1 2.29 1.10 2.52 1.82 1.00 2.27 1.59
C7
1 2.00 1.44 1.62 2.03 1.26 2.41
C8
1 2.08 1.65 1.26 2.13 1.44
C9
1 1.26 1.96 1.59 2.29
C10
1 2.29 1.14 3.63
C11
1 2.00 2.00
C12
1 3.78
C13
1
43
TABLE B.8. Consolidated matrix of Group 7 for criteria pairwise comparisons.
Group 7 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13
C1 1 1.51 1.18 1.09 1.90 2.47 1.34 1.25 1.38 1.63 1.98 2.19 2.32
C2
1 1.36 1.05 1.44 1.92 1.10 1.29 1.06 1.44 1.93 2.28 1.67
C3
1 1.47 2.26 3.21 1.80 1.56 1.71 1.66 1.56 1.96 2.32
C4
1 1.83 2.55 1.61 1.36 1.25 1.47 1.95 2.55 2.07
C5
1 1.06 1.32 1.53 1.40 1.24 2.99 3.70 1.03
C6
1 1.28 2.19 1.60 1.36 3.40 4.87 1.08
C7
1 1.26 1.12 1.08 2.98 3.42 1.20
C8
1 1.05 1.23 2.39 2.58 1.77
C9
1 1.13 2.30 3.16 1.37
C10
1 2.22 2.73 1.49
C11
1 1.03 4.11
C12
1 4.65
C13
1
TABLE B.9. Consolidated matrix of Group 8 for criteria pairwise comparisons.
Group 8 C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13
C1 1 1.19 1.41 1.86 3.35 5.83 6.40 3.46 2.63 5.32 1.41 2.59 5.63
C2
1 2.00 2.38 4.56 5.54 6.70 3.56 3.31 5.29 1.32 2.51 5.83
C3
1 1.57 3.72 4.43 5.73 2.91 2.61 4.90 1.05 2.00 5.01
C4
1 3.31 3.72 5.01 2.00 2.11 3.83 1.52 1.78 4.00
C5
1 1.22 1.86 1.47 1.07 1.14 2.63 1.88 1.19
C6
1 1.26 2.45 1.78 1.19 4.68 2.21 1.00
C7
1 3.36 2.15 1.86 4.90 3.46 1.19
C8
1 1.48 2.21 1.57 1.14 2.47
C9
1 1.46 2.55 1.28 1.47
C10
1 4.36 2.21 1.00
C11
1 1.37 4.68
C12
1 3.46
C13
1
44
APPENDIX C: PAIRWISE COMPARISON MATRICES FOR ABSWMT
C1: Capital cost C2: Operation cost C3: Development period C4: Land requirement of facility C5: Net
conversion efficiency C6: Environmental impact C7: Public acceptability
Black values in the matrices indicate a more important criterion in the row compared to the criterion
in the column whereas red values indicate the opposite.
The consolidated matrices were directly entered into the Expert Choice Decision Support System.
TABLE C.2. Consolidated matrix of Group 1 for criteria pairwise comparisons.
Group 1 C1 C2 C3 C4 C5 C6 C7
C1 1 1.15 2.83 2.83 4.90 1.73 3.87
C2 1 2.83 3.16 4.90 2.45 4.24
C3 1 2.00 7.00 4.24 2.00
C4 1 8.00 5.29 2.00
C5 1 3.16 8.00
C6 1 5.66
C7 1
TABLE C.3. Consolidated matrix of Group 2 for criteria pairwise comparisons.
Group 2 C1 C2 C3 C4 C5 C6 C7
C1 1 1.10 2.15 2.29 1.08 3.17 3.11
C2 1 3.17 3.42 1.10 2.52 3.42
C3 1 1.26 1.69 5.43 1.26
C4 1 1.71 5.01 1.14
C5 1 2.38 1.74
C6 1 5.65
C7 1
TABLE C.4. Consolidated matrix of Group 3 for criteria pairwise comparisons.
Group 3 C1 C2 C3 C4 C5 C6 C7
C1 1 1.26 3.03 4.65 2.88 2.14 1.48
C2 1 3.14 4.53 2.71 1.76 1.37
C3 1 1.78 1.02 1.97 1.57
C4 1 1.38 2.80 2.09
C5 1 1.54 1.18
C6 1 1.22
C7 1
45
TABLE C.5. Consolidated matrix of Group 4 for criteria pairwise comparisons.
Group 4 C1 C2 C3 C4 C5 C6 C7
C1 1 1.12 3.71 5.41 3.09 1.62 2.80
C2 1 2.67 5.03 2.96 1.41 2.74
C3 1 2.57 1.28 2.08 1.04
C4 1 2.08 3.60 2.35
C5 1 2.70 1.24
C6 1 1.86
C7 1
TABLE C.6. Consolidated matrix of Group 5 for criteria pairwise comparisons.
Group 5 C1 C2 C3 C4 C5 C6 C7
C1 1 1.74 3.57 5.97 4.62 2.49 2.70
C2 1 3.17 5.22 3.20 2.30 2.46
C3 1 2.40 1.89 1.05 1.03
C4 1 1.43 1.78 1.84
C5 1 1.56 1.40
C6 1 1.15
C7 1
TABLE C.7. Consolidated matrix of Group 6 for criteria pairwise comparisons.
Group 6 C1 C2 C3 C4 C5 C6 C7
C1 1 1.26 2.00 1.82 4.48 4.16 1.05
C2 1 1.52 1.04 4.00 4.22 1.59
C3 1 1.26 1.91 2.00 1.26
C4 1 2.00 2.03 1.26
C5 1 1.26 2.13
C6 1 2.00
C7 1
TABLE C.8. Consolidated matrix of Group 7 for criteria pairwise comparisons.
Group 7 C1 C2 C3 C4 C5 C6 C7
C1 1 1.47 2.26 1.80 1.56 1.56 1.96
C2 1 1.83 1.61 1.36 1.95 2.55
C3 1 1.32 1.53 2.99 3.70
46
C4 1 1.26 2.98 3.42
C5 1 2.39 2.58
C6 1 1.03
C7 1
TABLE C.9. Consolidated matrix of Group 8 for criteria pairwise comparisons.
Group 8 C1 C2 C3 C4 C5 C6 C7
C1 1 1.57 3.72 5.73 2.91 1.05 2.00
C2 1 3.31 5.01 2.00 1.52 1.78
C3 1 1.86 1.47 2.63 1.88
C4 1 3.36 4.90 3.46
C5 1 1.57 1.14
C6 1 1.37
C7 1