95 techno economic parametric assessment of csp power generations technologies in india

BITS PilaniPilani Campus

IV th International Conference on Advances in Energy Research

Indian Institute of Technology Bombay, Mumbai

10 December 2013

BITS PilaniPilani Campus

Techno-Economic Parametric Assessment of CSP Power Generations Technologies in India

Nikhil Gakkhar1, Dr. Manoj S. Soni2

1Center for Renewable Energy and Environment Development (CREED), BITS – Pilani, Rajasthan

2Assistant Professor, Department of Mechanical Engineering, BITS – Pilani, Rajasthan

BITS Pilani, Pilani Campus

• Solar energy: Clean technology for producing energy.

• Need of solar energy• Indian Conditions• Emission less technology

• Solar Power generation technologies• Solar photovoltaic (SPV)• Concentrating Solar power systems (CSP)

Introduction

ICAER 2013, IIT - Bombay


Parabolic Trough

Solar Tower

Solar Technologies(CSP)



Dish concentrator

Linear Fresnel

Continued



Status of solar power in India*

Source: MNRE (As of October 2013)

* Only Solar Photovoltaic

Jan-10 Apr-10 Jul-10 Oct-10 Jan-11 Apr-11 Jul-11 Oct-11 Jan-12 Apr-12 Jul-12 Oct-12 Jan-13 Apr-13 Jul-13 Oct-130

500

1000

1500

2000

2500

9.13 10.28 12.28 17.82 17.82 37.66 39.66120

781.48941.28

1044.161045.16

1236.48

1759.44

1968.842079.97

Duration

Cu

mu

lati

ve C

apac

ity

(in

MW

)



• National Renewable Energy Laboratories (NREL) • Vogel, W., & Kalb, H. (2010). Large-scale solar thermal

power: technologies, costs and development. Wiley. com.• Sargent and Lundy (2003). LLC: Consulting Group

Chicago “Assessment of Parabolic Trough and Power Tower Solar Technology Cost and Performance Forecasts”. National Renewable Energy Laboratory.

• World Institute of Sustainable Energy (WISE) Pune• Purohit, I. & Purohit, P. (2010). Techno-economic

evaluation of concentrating solar power generation in India. Energy Policy, 38(6), 3015-3029

Literature Review



• Selection of Parameters• The parameters were identified from literature.• These parameters were then categorized into two category viz. economic

parameters and technical parameters.

• Survey Design• Questionnaire was designed for evaluation of different parameters.• Structured questionnaires were prepared, tested, validated, modified and opinion

was collected from experts through web base survey.• The experts were asked to assign importance of the parameters on a 10 point

qualitative linear scale.

• Computational of weightage• Weighted average values have been computed for importance of parameters on

10 point scale.

Research Methodology



Economic Parameters

Parameters

Parameter No ParameterC1 Direct Investment Cost C2 Indirect Cost C3 Operation and Maintenance CostC4 Insurance CostC5 Loan Interest RateC6 Payback Period C7 Consideration of Inflation RateC8 Net Salvage ValueC9 Power Purchase Agreement

C10 Auxiliary Cost C11 Taxes C12 Government SubsidiesC13 Land CostC14 REC Mechanism



Technical ParametersParameter No Parameter

T1 LocationT2 Capacity Utilization Factor of PlantT3 Tracking T4 Solar Multiple value T5 Need of Lightning arrest for CSPT6 Annual Efficiency of the plantT7 Solar Field T8 Operating Temperatures T9 Solar resource assessment

T10 Access to roadsT11 Washes/Cleanliness of Mirrors T12 Area of Collector and absorberT13 Grid Connectivity

Parameters



Technical ParametersParameter No Parameter

T14 Hours of Full load operationsT15 Impact of local climate T16 Local O&M supportT17 Type of CSP technologiesT18 Thermal StorageT19 Heat Transfer Fluid (HTF)T20 Easy availability of WaterT21 Losses in CSP T22 Mirror/Heliostat properties T23 Materials usedT24 Module mounting structure T25 Need of Fire Alarm systems T14 Hours of Full load operationsT15 Impact of local climate

Parameters



• To know the importance of all the identified parameters for difference solar power generation technologies.

• To compare the prioritization according to different user level.

• To identify the barriers for solar technologies and ways to improve them.

• To correlate the available solar technologies in Indian scenario.

Purpose of Survey



Responses

• 70 suitable responses

39%

34%

17%

10%

Professionals

Researchers

Educators

Miscellaneous



Normalized Weightage: Economical Parameters

Analysis of Survey

Parameters Professional Researcher Educator Miscellaneous Overall

C1 0.0304 0.0304 0.0313 0.0330 0.0308

C2 0.0232 0.0248 0.0232 0.0224 0.0237

C3 0.0216 0.0230 0.0226 0.0181 0.0220

C4 0.0185 0.0183 0.0197 0.0181 0.0187

C5 0.0260 0.0236 0.0209 0.0256 0.0243

C6 0.0289 0.0263 0.0290 0.0309 0.0282

C7 0.0201 0.0204 0.0226 0.0224 0.0208

C8 0.0181 0.0207 0.0174 0.0192 0.0189

C9 0.0294 0.0254 0.0261 0.0277 0.0273

C10 0.0235 0.0236 0.0226 0.0224 0.0233

C11 0.0214 0.0222 0.0209 0.0170 0.0212

C12 0.0245 0.0275 0.0284 0.0330 0.0270

C13 0.0224 0.0245 0.0203 0.0256 0.0231

C14 0.0248 0.0262 0.0261 0.0287 0.0260



Normalized Weightage: Technical Parameters

Analysis of Survey


T1 0.0312 0.0331 0.0290 0.0298 0.0313T2 0.0299 0.0301 0.0273 0.0298 0.0295T3 0.0263 0.0263 0.0250 0.0298 0.0264T4 0.0253 0.0292 0.0267 0.0256 0.0269T5 0.0260 0.0260 0.0261 0.0213 0.0256T6 0.0289 0.0263 0.0290 0.0277 0.0279T7 0.0271 0.0254 0.0261 0.0266 0.0263T8 0.0273 0.0257 0.0267 0.0245 0.0264T9 0.0294 0.0292 0.0307 0.0277 0.0294T10 0.0216 0.0213 0.0226 0.0202 0.0215T11 0.0271 0.0236 0.0267 0.0256 0.0257T12 0.0266 0.0269 0.0290 0.0287 0.0273T13 0.0286 0.0260 0.0284 0.0330 0.0281



Contd…


T14 0.0271 0.0266 0.0273 0.0266 0.0269

T15 0.0272 0.0238 0.0255 0.0234 0.0252

T16 0.0239 0.0238 0.0238 0.0202 0.0234

T17 0.0304 0.0310 0.0296 0.0319 0.0306

T18 0.0263 0.0307 0.0273 0.0287 0.0282

T19 0.0263 0.0269 0.0284 0.0266 0.0269

T20 0.0266 0.0254 0.0267 0.0266 0.0262

T21 0.0258 0.0254 0.0255 0.0256 0.0256

T22 0.0268 0.0269 0.0261 0.0256 0.0266

T23 0.0268 0.0278 0.0284 0.0224 0.0270

T24 0.0242 0.0245 0.0232 0.0266 0.0244

T25 0.0206 0.0210 0.0238 0.0213 0.0214



• In overall scenario of economic criteria, direct investment cost (0.0308) is given the highest priority followed by payback period (0.0282) and power purchase agreement (0.0273).

• It is also observed that inflation rate (0.0208), net salvage value (0.0189) and insurance cost (0.0187) have lowest importance level.

• In overall case of technical parameters, Location (0.0313) has got highest preference followed by the type of CSP technology used (0.306).

Results and Discussion



• The CUF (0.0295), solar resource assessment (0.0294) and thermal storage (0.0282) are given higher preference than other parameters. Location is preferred commonly by professional (0.312) and researchers (0.0331).

• The parameters like module mounting structure (0.0244), local O&M support (0.0234) and access to road (0.0215) are less preferred.

• The need of fire alarm system (0.0214) is unanimously least preferred by all the respondents.

• It is also observed that educators preferred solar resource assessment (0.0307) more than location of the site (0.0290).

Results and Discussion



Economic parameters preferences

C1C2

C3

C4

C5

C6

C7C8

C9

C10

C11

C12

C13

C14

0.015

0.020

0.025

0.030

0.035

ProfessionalResearcherEducatorMisc



Technical parameters preferences

T1 T2T3

T4

T5

T6

T7

T8

T9

T10

T11

T12T13T14

T15

T16

T17

T18

T19

T20

T21

T22

T23

T24T25

0.015

0.020

0.025

0.030

0.035

Professional

Researcher

Educator

Misc



• The current work discusses the parameters required for commissioning of CSP plants in India.

• It is observed from the analysis that the economic parameter like direct investment cost are highly preferred by the respondents

• In the case of technical parameters, location of the site has been given the highest preference by professionals

• Educators preferred solar resource assessment of the site over other technical parameters.

• The insurance cost and need of fire alarm system are least preferred parameters in economic and technical criteria, respectively

Conclusion



Summary

Conclusion

Professionals Researchers Educators Misc Overall

Economic Parameters

1st Pref.

Direct Cost Direct Cost Direct Cost Direct Cost & Subsidies

Direct Cost

2nd Pref.

PPA Subsidies Payback period Payback period Payback period

Last Pref.

Net salvage value

Insurance cost Net salvage value

Taxes Insurance cost

Technical Parameters

1st Pref.

Location Location Solar resource assessment

Grid Connectivity

Location

2nd Pref.

Type of CSP used

Type of CSP used

Type of CSP used

Type of CSP used

Type of CSP used

Last Pref.

Need of fire alarm system

Need of fire alarm system

Access to roads

Access to roads & Local O&M

Access to roads



[1] Pillai IR, Banerjee R. Renewable energy in India: Status and potential. Energy 2009; 34:970–980.

[2] Ministry of New and Renewable Energy (MNRE). JNNSM current status. Available online < http://mnre.gov.in/file-manager/UserFiles/commissioning_status_spv_batch1_phase1.pdf> [Accessed 25.11.2012]

[3] Peter Cameron and Glenn Crompton, 'Solar Power Plant Pre-feasibility Study' Report by Parsons Brinckerhoff Australia, 2008

[4] Vogel W and Kalb H. Large-Scale Solar Thermal Power: Technologies, Costs and Development. Weinheim: Wiley VCH, 2010.

[5] Sargent & Lundy LLC Consulting Group, 2003. Assessment of parabolic trough and power tower solar technology cost and performance forecasts. Subcontractor Report, Chicago, IL. <http://www.nrel.gov/csp/pdfs/34440.pdf> [Accessed 10.10.2012]

[6] Achieving 12% Green Electricity by 2017, Final Report, Prepared by World Institute of Sustainable Energy, Pune, June 2011

[7] Purohit I, Purohit P. Techno-economic evaluation of concentrating solar power generation in India. Energy Policy. 2010; 38: 3015-3029.

[8] Solar handbook: Bridge to India, Final Report. <http://bridgetoindia.com/our-reports/the-india-solar-handbook> [accessed 8.11.2012]

[9] Sharma, N.K., Tiwari, P.K., and Sood, Y.R. (2012) Solar energy in India: Strategies, policies, perspectives and future potential, Renewable and Sustainable Energy Reviews, 16, pp. 933-941.

[10] Ummadisingu, A. and Soni, M.S. (2011) Concentrating solar power–Technology, potential and policy in India, Renewable and Sustainable Energy Reviews, 15(9) pp. 5169-5175.

[11] Tripathy, A.K. (2012) Three decades of Renewable. Akshay Urja Magazine, MNRE India, January, 10-13.

[12] Beerbaum, S. and Weinrebe, G. (2000) Solar thermal power generation in India – a techno - economic analysis, Renewable Energy, 21, pp. 153-174.

References


http://www.sciencedirect.com/science?_ob=RedirectURL&_method=externObjLink&_locator=url&_issn=03014215&_origin=article&_zone=art_page&_plusSign=+&_targetURL=http://www.nrel.gov/csp/pdfs/34440.pdf


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95 techno economic parametric assessment of csp power generations technologies in india

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