Machine learning optimization of a novel geothermal driven system with LNG heat sink for hydrogen production and liquefaction

被引:105
作者
Mehrenjani, J. Rezazadeh [1 ]
Gharehghani, A. [1 ]
Sangesaraki, A. Gholizadeh [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Mech Engn, Tehran, Iran
关键词
Multi-generation system; Geothermal energy; Hydrogen production; Multi-objective optimization; LNG regasification; Organic Rankine cycle; LIQUEFIED NATURAL-GAS; THERMOECONOMIC ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; EXERGOECONOMIC ANALYSIS; MULTIGENERATION SYSTEM; PERFORMANCE EVALUATION; PEM ELECTROLYZER; EXERGY ANALYSIS; BINARY-CYCLE; POWER-PLANT;
D O I
10.1016/j.enconman.2022.115266
中图分类号
O414.1 [热力学];
学科分类号
摘要
Hydrogen production and liquefaction based on geothermal energy is a potential route for the future hydrogen economy. In the current study, a novel integrated system with power generation and cooling capabilities is designed which uses geothermal energy as a heat source and LNG stream as a heat sink. All the generated power by the system is delivered to the PEM electrolyzer to produce hydrogen and liquefied it through a Claude cycle. A comprehensive investigation is carried out to evaluate the performance of the system from a thermodynamic and economic points of view. The analysis shows that the hydrogen production rate is 106.8 kg/h if all the electricity is delivered to PEM electrolyzer. Also, PEM electrolyzer with 93.92 $/h and LNG vaporizer with 5.43 MW have the foremost impact on total cost rate and exergy destruction, respectively. Moreover, a parametric study is performed to understand the effects of input parameters on the performance of the system. In order to optimize hydrogen production rate, total cost rate, and exergy efficiency of the system, a multi-objective optimization process is applied to the system by coupling the artificial neural network with the genetic algorithm. From the optimization procedure, the optimum values of hydrogen production rate, total cost rate, and exergy efficiency are obtained as 154.95 (kg/h), 291.36 ($/h), 23.34%, respectively. At these conditions, cooling capacity and levelized cost of hydrogen are 5.25 MW and 1.827 $/ kg, correspondingly.
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页数:16
相关论文
共 54 条
[1]   Exergoeconomic analysis and multi-objective optimization of a novel combined flash-binary cycle for Sabalan geothermal power plant in Iran [J].
Aali, A. ;
Pourmahmoud, N. ;
Zare, V. .
ENERGY CONVERSION AND MANAGEMENT, 2017, 143 :377-390
[2]   Exergoeconomic analysis and multi objective optimization of performance of a Carbon dioxide power cycle driven by geothermal energy with liquefied natural gas as its heat sink [J].
Ahmadi, Mohammad H. ;
Mehrpooya, Mehdi ;
Pourfayaz, Fathollah .
ENERGY CONVERSION AND MANAGEMENT, 2016, 119 :422-434
[3]   Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy [J].
Alirahmi, Seyed Mojtaba ;
Dabbagh, Sajjad Rahmani ;
Ahmadi, Pouria ;
Wongwises, Somchai .
ENERGY CONVERSION AND MANAGEMENT, 2020, 205
[4]   Thermodynamic performance evaluation of a geothermal ORC power plant [J].
Altun, A. F. ;
Kilic, M. .
RENEWABLE ENERGY, 2020, 148 :261-274
[5]   Multi-objective optimization of hydrogen liquefaction process integrated with liquefied natural gas system [J].
Bae, Ju-Eon ;
Wilailak, Supaporn ;
Yang, Jae-Hyeon ;
Yun, Dong-Yeol ;
Zahid, Umer ;
Lee, Chul-Jin .
ENERGY CONVERSION AND MANAGEMENT, 2021, 231
[6]  
Barron R. F., 1985, CRSY
[7]   Exergetic and thermoeconomic analysis of a trigeneration system producing electricity, hot water, and fresh water driven by low-temperature geothermal sources [J].
Behnam, Pooria ;
Arefi, Alireza ;
Shafii, Mohammad Behshad .
ENERGY CONVERSION AND MANAGEMENT, 2018, 157 :266-276
[8]   Single-level optimization of a hybrid SOFC-GT power plant [J].
Calise, F. ;
d'Accadia, M. Dentice ;
Vanoli, L. ;
von Spakovsky, M. R. .
JOURNAL OF POWER SOURCES, 2006, 159 (02) :1169-1185
[9]   Thermodynamic and economic analysis and optimization of power cycles for a medium temperature geothermal resource [J].
Coskun, Ahmet ;
Bolatturk, Ali ;
Kanoglu, Mehmet .
ENERGY CONVERSION AND MANAGEMENT, 2014, 78 :39-49
[10]   Thermo-hydraulic analysis and optimization of CuO/water nanofluid inside helically dimpled heat exchangers [J].
Deymi-Dashtebayaz, Mahdi ;
Akhoundi, Mahla ;
Ebrahimi-Moghadam, Amir ;
Arabkoohsar, Ahmad ;
Jabari Moghadam, Ali ;
Farzaneh-Gord, Mahmood .
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2021, 143 (06) :4009-4024