Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines

A multiobjective optimization of an organic Rankine cycle (ORC) evaporator, operating with toluene as the working fluid, is presented in this paper for waste heat recovery (WHR) from the exhaust gases of a 2 MW Jenbacher JMS 612 GS-N.L. gas internal combustion engine. Indirect evaporation between th...

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Autores:
Valencia, Guillermo
Núñez, José
Duarte, Jorge
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/4943
Acceso en línea:
https://hdl.handle.net/11323/4943
https://repositorio.cuc.edu.co/
Palabra clave:
acquisition cost
entropy generation number
heat exchanger
multiobjective optimization
ORC
waste heat recovery
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openAccess
License
CC0 1.0 Universal
id RCUC2_425990329c1191bbdcad3abd04444af0
oai_identifier_str oai:repositorio.cuc.edu.co:11323/4943
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network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines
title Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines
spellingShingle Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines
acquisition cost
entropy generation number
heat exchanger
multiobjective optimization
ORC
waste heat recovery
title_short Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines
title_full Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines
title_fullStr Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines
title_full_unstemmed Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines
title_sort Multiobjective Optimization of a Plate Heat Exchanger in a Waste Heat Recovery Organic Rankine Cycle System for Natural Gas Engines
dc.creator.fl_str_mv Valencia, Guillermo
Núñez, José
Duarte, Jorge
dc.contributor.author.spa.fl_str_mv Valencia, Guillermo
Núñez, José
Duarte, Jorge
dc.subject.spa.fl_str_mv acquisition cost
entropy generation number
heat exchanger
multiobjective optimization
ORC
waste heat recovery
topic acquisition cost
entropy generation number
heat exchanger
multiobjective optimization
ORC
waste heat recovery
description A multiobjective optimization of an organic Rankine cycle (ORC) evaporator, operating with toluene as the working fluid, is presented in this paper for waste heat recovery (WHR) from the exhaust gases of a 2 MW Jenbacher JMS 612 GS-N.L. gas internal combustion engine. Indirect evaporation between the exhaust gas and the organic fluid in the parallel plate heat exchanger (ITC2) implied irreversible heat transfer and high investment costs, which were considered as objective functions to be minimized. Energy and exergy balances were applied to the system components, in addition to the phenomenological equations in the ITC2, to calculate global energy indicators, such as the thermal efficiency of the configuration, the heat recovery efficiency, the overall energy conversion efficiency, the absolute increase of engine thermal efficiency, and the reduction of the break-specific fuel consumption of the system, of the system integrated with the gas engine. The results allowed calculation of the plate spacing, plate height, plate width, and chevron angle that minimized the investment cost and entropy generation of the equipment, reaching 22.04 m2 in the heat transfer area, 693.87 kW in the energy transfer by heat recovery from the exhaust gas, and 41.6% in the overall thermal efficiency of the ORC as a bottoming cycle for the engine. This type of result contributes to the inclusion of this technology in the industrial sector as a consequence of the improvement in thermal efficiency and economic viability.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-07-11T16:08:34Z
dc.date.available.none.fl_str_mv 2019-07-11T16:08:34Z
dc.date.issued.none.fl_str_mv 2019-07-01
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.identifier.issn.spa.fl_str_mv 1099-4300
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/4943
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 1099-4300
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REDICUC - Repositorio CUC
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dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv https://doi.org/10.3390/e21070655
dc.relation.references.spa.fl_str_mv 1. Fadiran, G.; Adebusuyi, A.T.; Fadiran, D. Natural gas consumption, and economic growth: Evidence from selected natural gas vehicle markets in Europe. Energy 2019, 169, 467–477. [CrossRef] 2. Feijoo, F.; Iyer, G.C.; Avraam, C.; Siddiqui, S.A.; Clarke, L.E.; Sankaranarayanan, S.; Binsted, M.T.; Patel, P.L.; Prates, N.C.; Torres-Alfaro, E.; et al. The future of natural gas infrastructure development in the United states. Appl. Energy 2018, 228, 149–166. [CrossRef] 3. Wang, X.; Shu, G.; Tian, H.; Liu, P.; Jing, D.; Li, X. Dynamic analysis of the dual-loop organic rankine cycle for waste heat recovery of a natural gas engine. Energy Convers. Manag. 2017, 148, 724–736. [CrossRef] 4. Nami, H.; Ertesvåg, I.S.; Agromayor, R.; Riboldi, L.; Nord, L.O. Gas turbine exhaust gas heat recovery by organic rankine cycles (ORC) for offshore combined heat and power applications—Energy and exergy analysis. Energy 2018, 165, 1060–1071. [CrossRef] 5. Holland, J.H. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence; University of Michigan Press: Ann Arbor, MI, USA, 1975; ISBN 9780472084609. 6. De Jong, K. An Analysis of the Behavior of a Class of Genetic Adaptive Systems; University of Michigan Press: Ann Arbor, MI, USA, 1975. 7. Martin, H. Economic optimization of compact heat exchangers. In Proceedings of the EF-Conference on Compact Heat Exchangers and Enhancement Technology for the Process Industries, Banff, AB, Canada, 18–23 July 1999; pp. 1–6. 8. Reneaume, J.-M.; Niclout, N. MINLP optimization of Plate Fin Heat Exchangers. Chem. Biochem. Eng. Q. 2003, 17, 65–76. 9. Selba¸s, R.; Kızılkan, Ö.; Reppich, M. A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view. Chem. Eng. Process. Process Intensif. 2006, 45, 268–275. [CrossRef] 10. Muralikrishna, K.; Shenoy, U.V. Heat exchanger design targets for minimum area and cost. Chem. Eng. Res. Des. 2000, 78, 161–167. [CrossRef] 11. Ozkol, I.; Komurgoz, G. Determination of the optimum geometry of the heat exchanger body via a genetic algorithm. Numer. Heat Transf. Part A Appl. 2005, 48, 283–296. [CrossRef] 12. Jarzebski, A.B.; Wardas-Koziel, E. Dimensioning of plate heat exchangers to give minimum annual operating costs. Chem. Eng. Res. Des. 1985, 63, 211–218. 13. Zhu, J.; Zhang, W. Optimization design of plate heat exchangers (PHE) for geothermal district heating systems. Geothermics 2004, 33, 337–347. [CrossRef] 14. Ahmadi, P.; Dincer, I.; Rosen, M.A. Thermodynamic modeling and multi-objective evolutionary-based optimization of a new multigeneration energy system. Energy Convers. Manag. 2013, 76, 282–300. [CrossRef] 15. Ahmadi, P.; Dincer, I.; Rosen, M.A. Thermoeconomic multi-objective optimization of a novel biomass-based integrated energy system. Energy 2014, 68, 958–970. [CrossRef] 16. Wang, J.; Wang, M.; Li, M.; Xia, J.; Dai, Y. Multi-objective optimization design of condenser in an organic Rankine cycle for low grade waste heat recovery using evolutionary algorithm. Int. Commun. Heat Mass Transf. 2013, 45, 47–54. [CrossRef] 17. Aneke, M.; Agnew, B.; Underwood, C. Optimising thermal energy recovery, utilisation, and management in the process industries. Appl. Therm. Eng. 2012, 36, 171–180. [CrossRef] 18. Valencia, G.; Fontalvo, A.; Cárdenas, Y.; Duarte, J.; Isaza, C. Energy and exergy analysis of different exhaust waste heat recovery systems for natural gas engine based on ORC. Energies 2019, 12, 2378. [CrossRef] 19. Hou, G.; Bi, S.; Lin, M.; Zhang, J.; Xu, J. Minimum variance control of organic rankine cycle based waste heat recovery. Energy Convers. Manag. 2014, 86, 576–586. [CrossRef] 20. Le, V.L.; Kheiri, A.; Feidt, M.; Pelloux-Prayer, S. Thermodynamic and economic optimizations of a waste heat to power plant driven by a subcritical ORC (Organic Rankine Cycle) using pure or zeotropic working fluid. Energy 2014, 78, 622–638. [CrossRef] 21. Peris, B.; Navarro-Esbrí, J.; Molés, F. Bottoming organic rankine cycle configurations to increase internal combustion engines power output from cooling water waste heat recovery. Appl. Therm. Eng. 2013, 61, 364–371. [CrossRef] 22. Xi, H.; Li, M.-J.; Xu, C.; He, Y.-L. Parametric optimization of regenerative organic rankine cycle (ORC) for low grade waste heat recovery using genetic algorithm. Energy 2013, 58, 473–482. [CrossRef] 23. Quoilin, S.; Aumann, R.; Grill, A.; Schuster, A.; Lemort, V.; Spliethoff, H. Dynamic modeling and optimal control strategy of waste heat recovery organic rankine cycles. Appl. Energy 2011, 88, 2183–2190. [CrossRef] 24. Wang, E.; Yu, Z.; Zhang, H.; Yang, F. A regenerative supercritical-subcritical dual-loop organic rankine cycle system for energy recovery from the waste heat of internal combustion engines. Appl. Energy 2017, 190, 574–590. [CrossRef] 25. Wang, L.; Sundén, B. Optimal design of plate heat exchangers with and without pressure drop specifications. Appl. Therm. Eng. 2003, 23, 295–311. [CrossRef] 26. Starace, G.; Fiorentino, M.; Longo, M.P.; Carluccio, E. A hybrid method for the cross flow compact heat exchangers design. Appl. Therm. Eng. 2017, 111, 1129–1142. [CrossRef] 27. Starace, G.; Fiorentino, M.; Meleleo, B.; Risolo, C. The hybrid method applied to the plate-finned tube evaporator geometry. Int. J. Refrig. 2018, 88, 67–77. [CrossRef] 28. Gullapalli, V.S. Modeling of brazed plate heat exchangers for ORC systems. Energy Procedia 2017, 129, 443–450. [CrossRef] 29. Durmu¸s, A.; Benli, H.; Kurtba¸s, ˙I.; Gül, H. Investigation of heat transfer and pressure drop in plate heat exchangers having different surface profiles. Int. J. Heat Mass Transf. 2009, 52, 1451–1457. [CrossRef] 30. Kehlhofer, R.; Rukes, B.; Hannemann, F.; Stirnimann, F. Combined-Cycle Gas & Steam Turbine Power Plants; PennWell: Tulsa, OK, USA, 2009; ISBN 9781593701680. 31. Gusew, S. Heat Transfer in Plate Heat Exchangers in the Transition Flow Regime. J. Enhanc. Heat Transf. 2015, 22, 441–455. [CrossRef] 32. Zhou, Y.; Zhu, L.; Yu, J.; Li, Y. Optimization of plate-fin heat exchangers by minimizing specific entropy generation rate. Int. J. Heat Mass Transf. 2014, 78, 942–946. [CrossRef] 33. Geni´c, S.; Ja´cimovi´c, B.; Petrovic, A. A novel method for combined entropy generation and economic optimization of counter-current and co-current heat exchangers. Appl. Therm. Eng. 2018, 136, 327–334. [CrossRef] 34. Ayadi, A.; Zanni-Merk, C.; de Beuvron, F.B.; Krichen, S. A multi-objective method for optimizing the transittability of complex biomolecular networks. Procedia Comput. Sci. 2018, 126, 507–516. [CrossRef] 35. Zare, V. A comparative exergoeconomic analysis of different ORC configurations for binary geothermal power plants. Energy Convers. Manag. 2015, 105, 127–138. [CrossRef] 36. Etghani, M.M.; Shojaeefard, M.H.; Khalkhali, A.; Akbari, M. A hybrid method of modified NSGA-II and TOPSIS to optimize performance and emissions of a diesel engine using biodiesel. Appl. Therm. Eng. 2013, 59, 309–315. [CrossRef] 37. Chen, S.J.; Hwang, C.L. Fuzzy multiple attribute decision making methods. In Fuzzy Multiple Attribute Decision Making; Springer: Heidelberg, Germany, 1992; Volume 375, pp. 289–486. 38. Valencia, G.; Benavides, A.; Cardenas, Y. Economic and environmental multi-objective optimization of a wind-solar-fuel cell hybrid energy system in the colombian caribbean region. Energies 2019, 12, 2119. [CrossRef] 39. Feng, Y.; Zhang, Y.; Li, B.; Yang, J.; Shi, Y. Sensitivity analysis and thermoeconomic comparison of ORCs (organic Rankine cycles) for low temperature waste heat recovery. Energy 2015, 82, 664–677. [CrossRef] 40. De Oliveira Neto, R.; Adolfo Rodriguez Sotomonte, C.; Coronado, C.J.R.; Nascimento, M. Technical and economic analyses of waste heat energy recovery from internal combustion engines by the Organic Rankine Cycle. Energy Convers. Manag. 2016, 129, 168–179. [CrossRef] 41. Imran, M.; Pambudi, N.A.; Farooq, M. Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm. Case Stud. Therm. Eng. 2017, 10, 570–578. [CrossRef] 42. Imran, M.; Usman, M.; Park, B.-S.; Kim, H.-J.; Lee, D.-H. Multi-objective optimization of evaporator of organic rankine cycle (ORC) for low temperature geothermal heat source. Appl. Therm. Eng. 2015, 80, 1–9. [CrossRef]
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spelling Valencia, GuillermoNúñez, JoséDuarte, Jorge2019-07-11T16:08:34Z2019-07-11T16:08:34Z2019-07-011099-4300https://hdl.handle.net/11323/4943Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/A multiobjective optimization of an organic Rankine cycle (ORC) evaporator, operating with toluene as the working fluid, is presented in this paper for waste heat recovery (WHR) from the exhaust gases of a 2 MW Jenbacher JMS 612 GS-N.L. gas internal combustion engine. Indirect evaporation between the exhaust gas and the organic fluid in the parallel plate heat exchanger (ITC2) implied irreversible heat transfer and high investment costs, which were considered as objective functions to be minimized. Energy and exergy balances were applied to the system components, in addition to the phenomenological equations in the ITC2, to calculate global energy indicators, such as the thermal efficiency of the configuration, the heat recovery efficiency, the overall energy conversion efficiency, the absolute increase of engine thermal efficiency, and the reduction of the break-specific fuel consumption of the system, of the system integrated with the gas engine. The results allowed calculation of the plate spacing, plate height, plate width, and chevron angle that minimized the investment cost and entropy generation of the equipment, reaching 22.04 m2 in the heat transfer area, 693.87 kW in the energy transfer by heat recovery from the exhaust gas, and 41.6% in the overall thermal efficiency of the ORC as a bottoming cycle for the engine. This type of result contributes to the inclusion of this technology in the industrial sector as a consequence of the improvement in thermal efficiency and economic viability.Valencia, Guillermo-0000-0001-5437-1964-600Núñez, José-0000-0002-6607-7305-600Duarte, Jorge-0000-0001-7345-9590-600engEntropyhttps://doi.org/10.3390/e210706551. Fadiran, G.; Adebusuyi, A.T.; Fadiran, D. Natural gas consumption, and economic growth: Evidence from selected natural gas vehicle markets in Europe. Energy 2019, 169, 467–477. [CrossRef] 2. Feijoo, F.; Iyer, G.C.; Avraam, C.; Siddiqui, S.A.; Clarke, L.E.; Sankaranarayanan, S.; Binsted, M.T.; Patel, P.L.; Prates, N.C.; Torres-Alfaro, E.; et al. The future of natural gas infrastructure development in the United states. Appl. Energy 2018, 228, 149–166. [CrossRef] 3. Wang, X.; Shu, G.; Tian, H.; Liu, P.; Jing, D.; Li, X. Dynamic analysis of the dual-loop organic rankine cycle for waste heat recovery of a natural gas engine. Energy Convers. Manag. 2017, 148, 724–736. [CrossRef] 4. Nami, H.; Ertesvåg, I.S.; Agromayor, R.; Riboldi, L.; Nord, L.O. Gas turbine exhaust gas heat recovery by organic rankine cycles (ORC) for offshore combined heat and power applications—Energy and exergy analysis. Energy 2018, 165, 1060–1071. [CrossRef] 5. Holland, J.H. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence; University of Michigan Press: Ann Arbor, MI, USA, 1975; ISBN 9780472084609. 6. De Jong, K. An Analysis of the Behavior of a Class of Genetic Adaptive Systems; University of Michigan Press: Ann Arbor, MI, USA, 1975. 7. Martin, H. Economic optimization of compact heat exchangers. In Proceedings of the EF-Conference on Compact Heat Exchangers and Enhancement Technology for the Process Industries, Banff, AB, Canada, 18–23 July 1999; pp. 1–6. 8. Reneaume, J.-M.; Niclout, N. MINLP optimization of Plate Fin Heat Exchangers. Chem. Biochem. Eng. Q. 2003, 17, 65–76. 9. Selba¸s, R.; Kızılkan, Ö.; Reppich, M. A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view. Chem. Eng. Process. Process Intensif. 2006, 45, 268–275. [CrossRef] 10. Muralikrishna, K.; Shenoy, U.V. Heat exchanger design targets for minimum area and cost. Chem. Eng. Res. Des. 2000, 78, 161–167. [CrossRef] 11. Ozkol, I.; Komurgoz, G. Determination of the optimum geometry of the heat exchanger body via a genetic algorithm. Numer. Heat Transf. Part A Appl. 2005, 48, 283–296. [CrossRef] 12. Jarzebski, A.B.; Wardas-Koziel, E. Dimensioning of plate heat exchangers to give minimum annual operating costs. Chem. Eng. Res. Des. 1985, 63, 211–218. 13. Zhu, J.; Zhang, W. Optimization design of plate heat exchangers (PHE) for geothermal district heating systems. Geothermics 2004, 33, 337–347. [CrossRef] 14. Ahmadi, P.; Dincer, I.; Rosen, M.A. Thermodynamic modeling and multi-objective evolutionary-based optimization of a new multigeneration energy system. Energy Convers. Manag. 2013, 76, 282–300. [CrossRef] 15. Ahmadi, P.; Dincer, I.; Rosen, M.A. Thermoeconomic multi-objective optimization of a novel biomass-based integrated energy system. Energy 2014, 68, 958–970. [CrossRef] 16. Wang, J.; Wang, M.; Li, M.; Xia, J.; Dai, Y. Multi-objective optimization design of condenser in an organic Rankine cycle for low grade waste heat recovery using evolutionary algorithm. Int. Commun. Heat Mass Transf. 2013, 45, 47–54. [CrossRef] 17. Aneke, M.; Agnew, B.; Underwood, C. Optimising thermal energy recovery, utilisation, and management in the process industries. Appl. Therm. Eng. 2012, 36, 171–180. [CrossRef] 18. Valencia, G.; Fontalvo, A.; Cárdenas, Y.; Duarte, J.; Isaza, C. Energy and exergy analysis of different exhaust waste heat recovery systems for natural gas engine based on ORC. Energies 2019, 12, 2378. [CrossRef] 19. Hou, G.; Bi, S.; Lin, M.; Zhang, J.; Xu, J. Minimum variance control of organic rankine cycle based waste heat recovery. Energy Convers. Manag. 2014, 86, 576–586. [CrossRef] 20. Le, V.L.; Kheiri, A.; Feidt, M.; Pelloux-Prayer, S. Thermodynamic and economic optimizations of a waste heat to power plant driven by a subcritical ORC (Organic Rankine Cycle) using pure or zeotropic working fluid. Energy 2014, 78, 622–638. [CrossRef] 21. Peris, B.; Navarro-Esbrí, J.; Molés, F. Bottoming organic rankine cycle configurations to increase internal combustion engines power output from cooling water waste heat recovery. Appl. Therm. Eng. 2013, 61, 364–371. [CrossRef] 22. Xi, H.; Li, M.-J.; Xu, C.; He, Y.-L. Parametric optimization of regenerative organic rankine cycle (ORC) for low grade waste heat recovery using genetic algorithm. Energy 2013, 58, 473–482. [CrossRef] 23. Quoilin, S.; Aumann, R.; Grill, A.; Schuster, A.; Lemort, V.; Spliethoff, H. Dynamic modeling and optimal control strategy of waste heat recovery organic rankine cycles. Appl. Energy 2011, 88, 2183–2190. [CrossRef] 24. Wang, E.; Yu, Z.; Zhang, H.; Yang, F. A regenerative supercritical-subcritical dual-loop organic rankine cycle system for energy recovery from the waste heat of internal combustion engines. Appl. Energy 2017, 190, 574–590. [CrossRef] 25. Wang, L.; Sundén, B. Optimal design of plate heat exchangers with and without pressure drop specifications. Appl. Therm. Eng. 2003, 23, 295–311. [CrossRef] 26. Starace, G.; Fiorentino, M.; Longo, M.P.; Carluccio, E. A hybrid method for the cross flow compact heat exchangers design. Appl. Therm. Eng. 2017, 111, 1129–1142. [CrossRef] 27. Starace, G.; Fiorentino, M.; Meleleo, B.; Risolo, C. The hybrid method applied to the plate-finned tube evaporator geometry. Int. J. Refrig. 2018, 88, 67–77. [CrossRef] 28. Gullapalli, V.S. Modeling of brazed plate heat exchangers for ORC systems. Energy Procedia 2017, 129, 443–450. [CrossRef] 29. Durmu¸s, A.; Benli, H.; Kurtba¸s, ˙I.; Gül, H. Investigation of heat transfer and pressure drop in plate heat exchangers having different surface profiles. Int. J. Heat Mass Transf. 2009, 52, 1451–1457. [CrossRef] 30. Kehlhofer, R.; Rukes, B.; Hannemann, F.; Stirnimann, F. Combined-Cycle Gas & Steam Turbine Power Plants; PennWell: Tulsa, OK, USA, 2009; ISBN 9781593701680. 31. Gusew, S. Heat Transfer in Plate Heat Exchangers in the Transition Flow Regime. J. Enhanc. Heat Transf. 2015, 22, 441–455. [CrossRef] 32. Zhou, Y.; Zhu, L.; Yu, J.; Li, Y. Optimization of plate-fin heat exchangers by minimizing specific entropy generation rate. Int. J. Heat Mass Transf. 2014, 78, 942–946. [CrossRef] 33. Geni´c, S.; Ja´cimovi´c, B.; Petrovic, A. A novel method for combined entropy generation and economic optimization of counter-current and co-current heat exchangers. Appl. Therm. Eng. 2018, 136, 327–334. [CrossRef] 34. Ayadi, A.; Zanni-Merk, C.; de Beuvron, F.B.; Krichen, S. A multi-objective method for optimizing the transittability of complex biomolecular networks. Procedia Comput. Sci. 2018, 126, 507–516. [CrossRef] 35. Zare, V. A comparative exergoeconomic analysis of different ORC configurations for binary geothermal power plants. Energy Convers. Manag. 2015, 105, 127–138. [CrossRef] 36. Etghani, M.M.; Shojaeefard, M.H.; Khalkhali, A.; Akbari, M. A hybrid method of modified NSGA-II and TOPSIS to optimize performance and emissions of a diesel engine using biodiesel. Appl. Therm. Eng. 2013, 59, 309–315. [CrossRef] 37. Chen, S.J.; Hwang, C.L. Fuzzy multiple attribute decision making methods. In Fuzzy Multiple Attribute Decision Making; Springer: Heidelberg, Germany, 1992; Volume 375, pp. 289–486. 38. Valencia, G.; Benavides, A.; Cardenas, Y. Economic and environmental multi-objective optimization of a wind-solar-fuel cell hybrid energy system in the colombian caribbean region. Energies 2019, 12, 2119. [CrossRef] 39. Feng, Y.; Zhang, Y.; Li, B.; Yang, J.; Shi, Y. Sensitivity analysis and thermoeconomic comparison of ORCs (organic Rankine cycles) for low temperature waste heat recovery. Energy 2015, 82, 664–677. [CrossRef] 40. De Oliveira Neto, R.; Adolfo Rodriguez Sotomonte, C.; Coronado, C.J.R.; Nascimento, M. Technical and economic analyses of waste heat energy recovery from internal combustion engines by the Organic Rankine Cycle. Energy Convers. Manag. 2016, 129, 168–179. [CrossRef] 41. Imran, M.; Pambudi, N.A.; Farooq, M. Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm. Case Stud. Therm. Eng. 2017, 10, 570–578. [CrossRef] 42. Imran, M.; Usman, M.; Park, B.-S.; Kim, H.-J.; Lee, D.-H. Multi-objective optimization of evaporator of organic rankine cycle (ORC) for low temperature geothermal heat source. Appl. Therm. Eng. 2015, 80, 1–9. 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