Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations

Energy, exergy, and exergoeconomic evaluations of various geothermal configurations are reported. The main operational and economic parameters of the cycles are evaluated and compared. Multi-objective optimization of the cycles is conducted using the artificial bee colony algorithm. A sensitivity as...

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Autores principales:	Moein Shamoushaki, Mehdi Aliehyaei, Marc A. Rosen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	geothermal ORC exergy exergoeconomic optimization Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/0020354cb21542e1bb26efc998a6d2fe
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spelling	oai:doaj.org-article:0020354cb21542e1bb26efc998a6d2fe2021-11-25T17:30:01ZEnergy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations10.3390/e231114831099-4300https://doaj.org/article/0020354cb21542e1bb26efc998a6d2fe2021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1483https://doaj.org/toc/1099-4300Energy, exergy, and exergoeconomic evaluations of various geothermal configurations are reported. The main operational and economic parameters of the cycles are evaluated and compared. Multi-objective optimization of the cycles is conducted using the artificial bee colony algorithm. A sensitivity assessment is carried out on the effect of production well temperature variation on system performance from energy and economic perspectives. The results show that the flash-binary cycle has the highest thermal and exergy efficiencies, at 15.6% and 64.3%, respectively. The highest generated power cost and pay-back period are attributable to the simple organic Rankine cycle (ORC). Raising the well-temperature can increase the exergy destruction rate in all configurations. However, the electricity cost and pay-back period decrease. Based on the results, in all cases, the exergoenvironmental impact improvement factor decreases, and the temperature rises. The exergy destruction ratio and efficiency of all components for each configuration are calculated and compared. It is found that, at the optimum state, the exergy efficiencies of the simple organic Rankine cycle, single flash, double flash, and flash-binary cycles respectively are 14.7%, 14.4%, 12.6%, and 14.1% higher than their relevant base cases, while the pay-back periods are 10.6%, 1.5% 1.4%, and 0.6% lower than the base cases.Moein ShamoushakiMehdi AliehyaeiMarc A. RosenMDPI AGarticlegeothermalORCexergyexergoeconomicoptimizationScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1483, p 1483 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geothermal ORC exergy exergoeconomic optimization Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	geothermal ORC exergy exergoeconomic optimization Science Q Astrophysics QB460-466 Physics QC1-999 Moein Shamoushaki Mehdi Aliehyaei Marc A. Rosen Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations
description	Energy, exergy, and exergoeconomic evaluations of various geothermal configurations are reported. The main operational and economic parameters of the cycles are evaluated and compared. Multi-objective optimization of the cycles is conducted using the artificial bee colony algorithm. A sensitivity assessment is carried out on the effect of production well temperature variation on system performance from energy and economic perspectives. The results show that the flash-binary cycle has the highest thermal and exergy efficiencies, at 15.6% and 64.3%, respectively. The highest generated power cost and pay-back period are attributable to the simple organic Rankine cycle (ORC). Raising the well-temperature can increase the exergy destruction rate in all configurations. However, the electricity cost and pay-back period decrease. Based on the results, in all cases, the exergoenvironmental impact improvement factor decreases, and the temperature rises. The exergy destruction ratio and efficiency of all components for each configuration are calculated and compared. It is found that, at the optimum state, the exergy efficiencies of the simple organic Rankine cycle, single flash, double flash, and flash-binary cycles respectively are 14.7%, 14.4%, 12.6%, and 14.1% higher than their relevant base cases, while the pay-back periods are 10.6%, 1.5% 1.4%, and 0.6% lower than the base cases.
format	article
author	Moein Shamoushaki Mehdi Aliehyaei Marc A. Rosen
author_facet	Moein Shamoushaki Mehdi Aliehyaei Marc A. Rosen
author_sort	Moein Shamoushaki
title	Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations
title_short	Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations
title_full	Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations
title_fullStr	Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations
title_full_unstemmed	Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations
title_sort	energy, exergy, exergoeconomic and exergoenvironmental impact analyses and optimization of various geothermal power cycle configurations
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0020354cb21542e1bb26efc998a6d2fe
work_keys_str_mv	AT moeinshamoushaki energyexergyexergoeconomicandexergoenvironmentalimpactanalysesandoptimizationofvariousgeothermalpowercycleconfigurations AT mehdialiehyaei energyexergyexergoeconomicandexergoenvironmentalimpactanalysesandoptimizationofvariousgeothermalpowercycleconfigurations AT marcarosen energyexergyexergoeconomicandexergoenvironmentalimpactanalysesandoptimizationofvariousgeothermalpowercycleconfigurations
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Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations

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