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Received August 23, 2018
Accepted December 13, 2018
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
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Techno-economic optimization of the integration of an organic Rankine cycle into a molten carbonate fuel cell power plant
Department of Chemical and Biological Engineering, Sookmyung Women’s University, Korea 1R&D Center, Gas Technology Compression Company, Changwon, Gyeongnam 52032, Korea 2Department of Chemical Engineering, Changwon National University, Changwon, Gyeongnam 51140, Korea
wwon@changwon.ac.kr
Korean Journal of Chemical Engineering, March 2019, 36(3), 345-355(11), 10.1007/s11814-018-0210-x
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Abstract
This study proposes a simple economic model to optimize the integration of an organic Rankine cycle into a molten carbonate fuel cell power plant. The optimization was conducted with five different types of working fluids, and an exergetic optimization was also done for comparison. In addition, sensitivity analysis was conducted to provide better insight into the behavior of the ORC system. The optimization results show that the optimum economic point and the optimum exergetic point are different, and a maximum profit can be achieved for the ORC system with economic optimization. Overall, in most cases, the profit is highest when the ORC system uses n-butane; however, R152a yields better profit when the ambient temperature is below 5 oC. In addition, all ORC systems show positive profit when the price of electricity is above 0.05 USD/kWh. For sensitivity analysis, two simulation experiments were conducted to observe the effect of changes in the feed gas temperature and the sales price of electricity on the optimization results. As a result, changes in the sale price of electricity are very critical, but changes in the feed gas temperature are not important.
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References
Sugiura K, Naruse I, J. Power Sources, 106(1-2), 51 (2002)
Bove R, Moreno A, McPhail S, International status of molten carbonate fuel cell (MCFC) technology, JRC Scientific and Technical Reports (2008).
McPhail SJ, Leto L, Pietra MD, Moreno V, International status of molten carbonate fuel cells technology, ENEA (2015).
Yamamoto T, Furuhata T, Arai N, Mori K, Energy, 26(3), 239 (2001)
Desai NB, Bandyopadhyay S, Energy, 34(10), 1674 (2009)
Akkaya AV, Sahin B, Int. J. Energy Res., 33, 553 (2008)
Angelino G, di Paliano PC, Energy Conversion Engineering Conference and Exhibit, 2, 1400 (2000).
Ji SW, Park SK, Kim TS, Transactions of the Korean Society of Mechanical Engineers B, 34, 907 (2010).
Mamaghani AH, Najafi B, Shirazi A, Rinaldi F, Energy, 82, 650 (2015)
Ebrahimi M, Moradpoor I, Energy Conv. Manag., 116, 120 (2016)
Wang EH, Zhang HG, Fan BY, Ouyang MG, Zhao Y, Mu QH, Energy, 36(5), 3406 (2011)
Sanchez D, de Escalona JMM, Monje B, Chacartegui R, Sanchez T, J. Power Sources, 196(9), 4355 (2011)
Desideri A, Gusev S, van den Broek M, Lemort V, Quoilin S, Energy, 97, 460 (2016)
Sun Z, Wang S, Xu F, He W, Energy Procedia, 142, 1222 (2017)
Lee U, Han C, Comput. Chem. Eng., 83, 21 (2015)
Li W, Feng X, Yu LJ, Xu J, Appl. Therm. Eng., 31, 4014 (2011)
Sarkar J, Energy, 143, 141 (2018)
Wang E, Zhang H, Fan B, Wu Y, J. Mech. Sci. Technol., 26, 2301 (2012)
Wang MY, Khalilpour R, Abbas A, Energy Conv. Manag., 88, 947 (2014)
Quoilin S, Van Den Broek M, Declaye S, Dewallef P, Lemort V, Renew. Sust. Energ. Rev., 22, 168 (2013)
Patel B, Desai NB, Kachhwaha SS, Jain V, Hadia N, J. Clean Prod., 154, 26 (2017)
Asim M, Leung MKH, Shan Z, Li Y, Leung DYC, Ni M, Energy Procedia, 143, 192 (2017)
Xu G, Yu G, J. Comput. Appl. Math., 333, 65 (2018)
Chen Y, Li L, Xiao J, Yang Y, Liang J, Li T, Eng. Appl. Artif. Intell., 70, 159 (2018)
Tian D, Shi Z, Swarm Evol. Comput., 41, 49 (2018)
Gaing ZL, IEEE Trans. Energy Convers., 19(2), 384 (2004)
Park K, Won W, Shin D, J. Nat. Gas. Sci. Eng., 34, 958 (2016)
Godio A, Santilano A, J. Appl. Geophysics, 148, 163 (2018)
FuelCell Energy Solutions, http://www.all-energy.co.uk/__novadocuments/80806?v=635633926036100000 (accessed April 13, 2018).
Aghahosseini S, Dincer I, Appl. Therm. Eng., 54, 35 (2013)
Razaaly N, Persico G, Congedo PM, Energy Procedia, 129, 1149 (2017)
Kwon S, Won W, Kim J, Renew. Energy, 97, 177 (2016)
Han S, Won W, Kim J, Energy, 129, 86 (2017)
Won W, Kwon H, Han JH, Kim J, Renew. Energy, 103, 226 (2017)
Kim MS, Won WY, Kim JY, Energy Conv. Manag., 143, 227 (2017)
Loh HP, Lyons J, White CW III, Process equipment cost estimation, DOE/NETL-2002/1169 (2002).
Won WY, Maravelias CT, Renew. Energy, 114, 357 (2017)
Papadopoulos AI, Seferlis P, Materials and process systems for CO2 capture, (2017).
EIA - Electricity Data https://www.eia.gov/electricity/monthly/epm_table_grapher.php?t=epmt_5_6_a (accessed March 3, 2018).
W10_TH_ Price Forecasts for Electric Motor CNG Compressor at Gas Station Project . EMERALD AACE 2017 . WEEKLY BLOG https://emeraldaace2017.com/2017/11/11/w10_th_-price-forecastsfor-electric-motor-cng-compressor-at-gas-station-project/ (accessed March 2, 2018).
Bove R, Moreno A, McPhail S, International status of molten carbonate fuel cell (MCFC) technology, JRC Scientific and Technical Reports (2008).
McPhail SJ, Leto L, Pietra MD, Moreno V, International status of molten carbonate fuel cells technology, ENEA (2015).
Yamamoto T, Furuhata T, Arai N, Mori K, Energy, 26(3), 239 (2001)
Desai NB, Bandyopadhyay S, Energy, 34(10), 1674 (2009)
Akkaya AV, Sahin B, Int. J. Energy Res., 33, 553 (2008)
Angelino G, di Paliano PC, Energy Conversion Engineering Conference and Exhibit, 2, 1400 (2000).
Ji SW, Park SK, Kim TS, Transactions of the Korean Society of Mechanical Engineers B, 34, 907 (2010).
Mamaghani AH, Najafi B, Shirazi A, Rinaldi F, Energy, 82, 650 (2015)
Ebrahimi M, Moradpoor I, Energy Conv. Manag., 116, 120 (2016)
Wang EH, Zhang HG, Fan BY, Ouyang MG, Zhao Y, Mu QH, Energy, 36(5), 3406 (2011)
Sanchez D, de Escalona JMM, Monje B, Chacartegui R, Sanchez T, J. Power Sources, 196(9), 4355 (2011)
Desideri A, Gusev S, van den Broek M, Lemort V, Quoilin S, Energy, 97, 460 (2016)
Sun Z, Wang S, Xu F, He W, Energy Procedia, 142, 1222 (2017)
Lee U, Han C, Comput. Chem. Eng., 83, 21 (2015)
Li W, Feng X, Yu LJ, Xu J, Appl. Therm. Eng., 31, 4014 (2011)
Sarkar J, Energy, 143, 141 (2018)
Wang E, Zhang H, Fan B, Wu Y, J. Mech. Sci. Technol., 26, 2301 (2012)
Wang MY, Khalilpour R, Abbas A, Energy Conv. Manag., 88, 947 (2014)
Quoilin S, Van Den Broek M, Declaye S, Dewallef P, Lemort V, Renew. Sust. Energ. Rev., 22, 168 (2013)
Patel B, Desai NB, Kachhwaha SS, Jain V, Hadia N, J. Clean Prod., 154, 26 (2017)
Asim M, Leung MKH, Shan Z, Li Y, Leung DYC, Ni M, Energy Procedia, 143, 192 (2017)
Xu G, Yu G, J. Comput. Appl. Math., 333, 65 (2018)
Chen Y, Li L, Xiao J, Yang Y, Liang J, Li T, Eng. Appl. Artif. Intell., 70, 159 (2018)
Tian D, Shi Z, Swarm Evol. Comput., 41, 49 (2018)
Gaing ZL, IEEE Trans. Energy Convers., 19(2), 384 (2004)
Park K, Won W, Shin D, J. Nat. Gas. Sci. Eng., 34, 958 (2016)
Godio A, Santilano A, J. Appl. Geophysics, 148, 163 (2018)
FuelCell Energy Solutions, http://www.all-energy.co.uk/__novadocuments/80806?v=635633926036100000 (accessed April 13, 2018).
Aghahosseini S, Dincer I, Appl. Therm. Eng., 54, 35 (2013)
Razaaly N, Persico G, Congedo PM, Energy Procedia, 129, 1149 (2017)
Kwon S, Won W, Kim J, Renew. Energy, 97, 177 (2016)
Han S, Won W, Kim J, Energy, 129, 86 (2017)
Won W, Kwon H, Han JH, Kim J, Renew. Energy, 103, 226 (2017)
Kim MS, Won WY, Kim JY, Energy Conv. Manag., 143, 227 (2017)
Loh HP, Lyons J, White CW III, Process equipment cost estimation, DOE/NETL-2002/1169 (2002).
Won WY, Maravelias CT, Renew. Energy, 114, 357 (2017)
Papadopoulos AI, Seferlis P, Materials and process systems for CO2 capture, (2017).
EIA - Electricity Data https://www.eia.gov/electricity/monthly/epm_table_grapher.php?t=epmt_5_6_a (accessed March 3, 2018).
W10_TH_ Price Forecasts for Electric Motor CNG Compressor at Gas Station Project . EMERALD AACE 2017 . WEEKLY BLOG https://emeraldaace2017.com/2017/11/11/w10_th_-price-forecastsfor-electric-motor-cng-compressor-at-gas-station-project/ (accessed March 2, 2018).
