Ji ří J KLEME Š, Petar S VARBANOV EC Marie Currie Chair (EXC) “INEMAGLOW”

1<cpi.uni-pannon.hu>

“Intensified Heat Transfer Technologies for Enchanced Heat Recovery”

INTHEAT (Grant Agreement 262205)

Jiří J KLEMEŠ, Petar S VARBANOV

EC Marie Currie Chair (EXC) “INEMAGLOW”

Research Institute of Chemical Technology

and Process Engineering – CPI2,

Faculty of Information Technology

University of Pannonia, Veszprém, Hungary

CPI2

2<cpi.uni-pannon.hu>CPI2

Outline

• CPI2 at the University of Pannonia

• Research Background

• P-graph for Process Synthesis

• Books and Other Publications

• Involvement of CPI2-UOP in INTHEAT


CPI2 at the University of Pannonia


University of Pannonia


Location: Veszprem – The Town of Queens


Professor Ferenc Friedler, DeanFaculty of Information Technology

• Development of P-graph and S-graph frameworks (Co-founder)

– Process Network Synthesis– Batch Process Scheduling– Energy Saving and Pollution Reduction– Reaction Pathway Identification

• Knight's Cross Order of Merit of the Republic of Hungary, Budapest, Hungary, 2003

• László Kalmár Prize (John von Neumann Computer Science Society), Budapest, Hungary, 2003

• Neumann Prize (John von Neumann Computer Science Society), Budapest, Hungary, 2007

• Széchenyi Prize, Budapest, Hungary, 2010


CPI2

Centre for Process Integration and Intensification

Prof Jiří J Klemeš

Chair Holder

Assoc. Prof.

Dr Petar Varbanov

PhD Students

Dr László Sikos

CUM LAUDE Graduate

Hon LoongLam

Luca De Benedetto

Zsófia Fodor

Prof Zdravko Kravanja,

University of Maribor

Lidija ČučekAndreja Nemet


Research background


UMIST: History

1824 Created by industrialists as the Manchester Mechanics Institution

1905 Faculty of Technology, University of Manchester

1956 Royal Charter granted to Manchester College of Science and Technology

1965 University of Manchester Institute of Science and Technology

2004 Merged with University of Manchester


Centre for Process Integration

World Leaders in Process Design Technology


Research directions


Most Resent Research

Cell-based dynamic heat exchanger models – direct determination of the

cell number and size

Petar Sabev Varbanov, Jiří Jaromir Klemeš, Ferenc Friedler

CPI2


Heat exchange cell

mH

hHI

mH

hHO

mC

hCI

mC

hCO

Cell model: detailed picture

Cell model: icon representation

QCELL

Definition

Two perfectly stirred tanks, exchanging

heat only with each other through a

dividing wall

H=”Hot”, C=”Cold”;

HI=”Hot Inlet”, HO=”Hot Outlet”

CI=”Cold Inlet”, CO=”Cold Outlet”

Assumptions

Perfect mixing in the fluid cells

Constant fluid densities

The tanks are completely full

Constant specific heat capacities

The thermal resistance of the wall is neglected

The wall heat capacity is taken into account


Cell model of a heat exchanger

• A complete heat exchanger can be modelled by a number of cells• The cells are combined to reflect the internal flow arrangement in

the exchanger

mHOT,

hIN,HOT

mCOLD,

hIN,COLD

mHOT,

hOUT,HOT

mCOLD,

hOUT,COLD

Single-pass (1-1) heat exchanger



1-2 shell-and-tube heat exchanger (no baffles)



1-2 shell-and-tube heat exchanger (with baffles)


Minimum number of cells

Heat exchange

Tem

per

atu

re

Derivation


Summary on the cell model

• Distributed models become inefficient for complex heat exchangers

• From the lumped– mostly cell models are employed

• The cell parameters need to be carefully estimated accounting for the underestimation of the temperature differences

• A method for direct identification of the number of cells has been developed

• Mostly applicable to shell-and-tube heat exchangers

• A useful visualisation of the cell number identification procedure is provided

• The method can be further extended to the other kinds of heat exchangers


P-graph for Process Synthesis

Friedler, F., J.B. Varga, and L.T Fan. (1995), Decision-Mapping A Tool for Consistent and Complete Decisions in Process Synthesis, Chem. Eng. Sci., 50(11):1755-1768


P-graph: a Rigorous Mathematical Tool

• Axioms for feasible networks

• Algorithm MSG

• Algorithm SSG

Suite of tools Search space

103–106 x

• Exploit the problem structure

• Much faster

• Superior to direct Mathematical Programming


P-graph algorithms:Maximal Structure Generation (MSG)

Problem Formulation

• set of raw materials

• set of products

• set of candidate operating unitsReduction part

Composition part

Problem Formulation

Consistent sets O & M

Maximal Structure

Superstructure (Maximal)

• Union of all combinatorially feasible structures

• Rigorous super-structure

Legend:

O: set of operating units; M: set of materials


ABB Algorithm – Even Faster Search

• Employs the “branch-and-bound” strategy

• Combines this with the P-graph logic (SSG algorithm)

• Ensures combinatorial feasibility

Non-optimal decisions are eliminated from the search


PNS Paradigms: A Comparison

Conventional MP(MILP, MINLP)

P-graph(MSG, SSG, ABB)

Network Model Formulation

Mostly MANUAL ALGORITHMIC

Automation allowing user interaction

Complexity

(Solution Speed)

6 orders of magnitude

(106) faster

Example: separation sequence synthesis

34 Billion

possible combinations

3,465 combinatorially feasible structures

Interpretation of results

Flowsheets

(only)

Flowsheets

Easier to spot structural patterns


Applying P-graph:Combined Heat and Power using FCCC


Configuration and Setup

Demands: 10 MW power and 15 MW heat

Power: 100 €/MWhHeat: 30 €/MWhNatural gas: 30 €/MWhFertiliser from biogas digestion: 50 €/tPlant life: 10 y

Case studies Case 1 Case 2 Case 3 Case 4 Case 5 Case 6 Biomass Price, €/MWh 1 10 10 10 18 20 Fertiliser yield, kg/kWh 0.077 0.077 0.005 0.077 0.077 0.077 Profit, MM€/y 10.05 6.48 6.23 5.51 3.66 3.45

Limit the availability of the biomass to 30 MW


Fuel Preparation Options

Biomass

Gasifier

Syngas

FilterBiogas

digester

Streams / MaterialsAR: Agricultural residues PR: ParticulatesBR: Biomass residues SG: SyngasRSG: Raw syngas BG: BiogasCO2: Carbon dioxide FRT: Fertiliser

RSG, kW/kW 0.65

BR, (kg/h)/kW 0.0811

CO2, (kg/h)/kW 0.025

SG, kW/kW 0.99

PR, (kg/h)/AR 0.0005

BG, kW/kW 0.58

FRT, (kg/h)/AR 0.0768

CO2, (kg/h)/kW 0.025

Performance per unit input

AR

BMG

RSG

BR CO2

RSG

SGF

SG

PR

BGD

BG

FRT

AR

CO2


Energy Conversion Options

{F}

{FCCC}

W

CO2

{Q}

{F}: Fuels {FCCC} {Q}: steam Steam details {Q}: steam Steam details

NG: Natural gas MCFC-GT Q1 P = 1 bar Q20 P = 20 barBG: Biogas MCFC-ST Q2 P = 2 bar Q40 P = 40 barSG: Syngas SOFC-GT Q5 P = 5 bar

SOFC-ST Q10 P = 10 bar

BLR_BG

BG

Q40

Fuel Cell

Combined Cycle

Biogas

Boiler

Natural Gas

Boiler

CO2

NG

BLR_NG

Q40

W, kW/kW 0.58 – 0.695

Q, (kg/h)/kW 0 – 0.25

CO2, (kg/h)/kW) NG: 0.2063

SG/BG: 0

Q40, kW/kW 0.85 Q40, kW/kW 0.88

CO2, (kg/h)/kW 0.2063

Performance per unit input


Results

Cases 1, 2, 3;Biomass < 18 €/MWhProfit: 10.05 / 6.48 / 6.23 MM€/y

Case 4; Biomass at 10 €/MWhProfit: 5.51 MM€/y

AR

BMG

RSGBR

25.9 MW

16.8 MW

2.1 t/h

SGF

SG

16.7 MW

PR

0.008 t/h

BG

Q40

FCCC_57(MCFC+ST)

W 10.0 MW

BGD

23.7 MW

13.7MW FRT

1.8 t/h

Q5

3.3MW

LD_40_5

11.7 MW

11.7 MW

BLR_BG

15.0 MW

CO2

0.6t/h

0.6 t/h

AR

BMG

RSG

BR

24.3 MW

15.8MW

1,97 t/h

SGF

SG

15.6 MWPR

8·10-3 t/h

BG

Q40FCCC_69(SOFC+ST)

W 10.0 MW

BGD

5.7 MW

3.3 MW

CO2FRT

0.4 t/h

Q5

3.4 MW

LD_40_5

2.0t/h

BLR_BG

15.0 MW

NG

BLR_NG

9.9 MW

8.8 MW

11.6 MW

2.8 MW

11.6 MW

0.6 t/h

0.1 t/h

BiomassMAX 30 MW


Results Summary

• Biomass is profitable

over a wide price range

• Topologies relatively

robust until tipping point

• Fertiliser – marginal

significance

The trade-off between the Agricultural Residues – Natural Gas prices dominates the designs

Case 1 Case 2 Case 3 Case 4 Case 5 Case 6 Biomass Price, €/MWh 1 10 10 10 18 20 Fertiliser yield, kg/kWh 0.077 0.077 0.005 0.077 0.077 0.077 Profit, MM€/y 10.05 6.48 6.23 5.51 3.66 3.45


P-graph for FCCC Summary

• Biomass viable for FC

• High efficiency lower resource demand

• Energy supply and conversion: complex systems

• Synthesising : combinatorially difficult

• P-Graph: appropriate tool effectively solving the task

• Successfully applied to choosing FCCC - based

system design


Books and other publications


Recent Publication

IF2008 = 1.712

IF2009 = 2.952

Citations: 10


Recent Publication

IF2009 = 1.987

Citations: 4


Citations

80

120

216

0

50

100

150

200

250

Citations

2008 2009 2010


Handbook of Water and Energy Management in Food Processing

Edited by J Klemeš, University of Pannonia

R Smith and J-K Kim, University of Manchester, UK


Coming Book


EMINENT 2 Workshop


Involvement of CPI2-UOP in INTHEAT


Contribution to Work Packages

• WP 1 (Months 1-12): Analysis of intensified heat transfer under fouling, 6 person-months, Task 1.1

• WP 2 (Months 1-18): Combined tube-side and shell-side heat exchanger enhancement, 1 person-month, Task 2.2

• WP 4 (Months 1-24): Design, retrofit and control of intensified heat recovery networks, 9.5 person-months, Tasks 4.1 and 4.3. This will be a development of the P-graph methodology using the ABB algorithm

• WP 5 (Months 12-24): Putting into practice, 5 person-months, Tasks 5.2 and 5.3


Leader of WP 6 “Technology transfer”

Aim: Effective technology transfer to the wide range academic and industrial communities•Validation of the developed novel methodology with the SME partners. •Dissemination of the project results, aiming to achieve the best possible project recognition over a broad audience•Develop suitable training and support materials for SME partners•Establish an active community involving the INTHEAT partners and other users/experts for continuous knowledge management and improvement


WP 6 “Technology Transfer”

• Runs during months 6 – 24• Tasks:

– 6.1. Technology transfer to SME consortium members

– 6.2. Dissemination events– 6.3. Publications– 6.4. Training


Task 6.1. Technology transfer to SME consortium members

• Streamlined transfer of the developed and acquired technologies, licenses and know-how among the consortium all members

• A special emphasis will be put on the technology transfer to the industrial partners

Principles• All outputs/deliverables from WPs 1 to 5 will be

checked for documentation in such a way, as to enable technology users to obtain reproducible results

• Additional application procedures may be needed


Task 6.2. Dissemination events

Intensified heat exchangers – Novel developments

Information day for major stakeholders

Organisers: UNIPAN, PIL, UNIMAN

Has to be delivered by Month 8

Suggested: PRES’11, 8-11 May 2011, Florence, Italy


8-11 May 2011, Florence, Italy


14th Conference Process Integration, Modelling

and Optimisation for Energy Saving and

Pollution Reduction

8-11 May 2011, Florence, Italy

Raffaella DAMERIO

The Italian Association of Chemical Engineering

Via Giuseppe Colombo 81A

20133 Milano (Italy)

Phone:+39-02-70608276

Fax:+39-02-59610042

Email: [email protected]

Hon Loong LAM

(Scientific Programme Secretary)

Phone: +36-88-421664

Fax: +44 871 244 774

Email: [email protected]

Website: www.conferencepres.com

Organiser & Secretariat


Chemical Engineering Transactions (CET)

<www.aidic.it/cet>



Enhanced heat transfer

Workshop/session at a recognised international conference

Organisers: UNIPAN, CALGAVIN, EMBAFFLE, SODRU


Suggested: 6-th Dubrovnik Conference on Sustainable Development of Energy, Water and Environment

Systems, September 25 - 29, 2011, Dubrovnik, Croatia



Software Demonstration Workshop

Workshop/session at a recognised international conference

Organisers: UNIPAN, PIL, UNIMAN


Suggested: A dedicated workshop to be held in the summer of 2012, at PRES 2012



Joint Hub for Intensified Heat Exchangers

Workshop held by all academic partners with the support of the industrial partners


Suggested: A dedicated workshop to be held in Veszprém in September-October 2012


Task 6.3. Publications

• Three major conferences will be held during the project execution: PRES’11 (May 2011), SDEWES 2011 (September 2011), PRES 2012. It is expected that at least 9 conference publications will be delivered

• Scientific articles in refereed journals: minimum 4 papers are planned

• Wider dissemination to the public, authorities, environmentalists and decision-making bodies


Task 6.4. Training

• The major training will be carried out in form of workshop at UNIPAN, scheduled for delivery by Month 23 (October 2012).

• Suggested venue: To be organised as a follow-up event after the workshop “Joint Hub for Intensified Heat Exchangers” from Task 6.2, Veszprém in September-October 2012

• The relevant training materials have to be available before the workshops. Suggested delivery – by June-July 2012, to allow for testing and fine-tuning


Deliverables for WP 6

Deliverable Tasks Nature Dissemination Level

Due by

D6.2 Report on the performed marketing activities and commercialisation outcomes

6.16.3

R PU Month 24

D6.3 Four dissemination events

6.2 O PUMonth 8, 12, 18,

22

D6.4 At least 4 conference publications and 2 journal publications

6.3 O PU Month 24

D6.5 Training materials for the methods and tools developed

6.4 O PU Month 24


Thank you for your attention!

Veszprém, Castle

Ji ří J KLEME Š, Petar S VARBANOV EC Marie Currie Chair (EXC) “INEMAGLOW”

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