Environmentally friendly utilization of LNG regasification process and geothermal-based dual-loop power cycle for desalinated water and hydrogen production

被引:9
作者
Almutairi, Khalid [1 ]
机构
[1] Univ Hafr Al Batin, Appl Coll, Mech Engn Technol, Hafar al Batin, Saudi Arabia
关键词
Geothermal energy; LNG regasification; Thermoelectric generator; Desalination; Data driven approach; Sensitivity analysis; COLD ENERGY; THERMOECONOMIC ANALYSIS; MULTIGENERATION SYSTEM; GAS-TURBINE; FUEL-CELL; MULTIOBJECTIVE OPTIMIZATION; THERMOELECTRIC GENERATOR; PERFORMANCE EVALUATION; DRIVEN; EXERGY;
D O I
10.1016/j.desal.2023.116808
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The global scarcity of fresh water has prompted the development of innovative strategies for establishing affordable and efficient desalination systems that utilize waste heat from industrial processes. This study presents a novel combination of a geothermal-driven dual-loop organic Rankine cycle and liquefied natural gas (LNG) regasification process intended for electricity, desalinated water, and hydrogen production. The integration of diverse energy sources holds the capability to reduce dependence on traditional fossil fuels and promote a more sustainable and diversified energy portfolio, conducive to ecological well-being. In the suggested approach, a thermoelectric generator (TEG) is employed to harness the thermal contrast present between the residual heat of the geothermal process and the cold LNG stream, which reduces irreversibility and increases the system's power output. After examining the effect of key parameters on the system's performance, a data-driven approach is adopted in which the system's performance is predicted based on artificial neural networks (ANNs). According to the results, the primary generated power, desalinated water production rate, total cost rate, and cooling load are 5.15 MW, 127.31 m3/h, 188.22 $/h, and 2.92 MW, respectively. Also, the findings of the financial investigation demonstrate that the electrolysis unit, with an hourly cost rate of 85.2 $, constitutes more than 45 % of the total cost rate. In addition, the optimization of the system is performed in three distinct cases, wherein each case pertains to a different objective. In optimal conditions, the amount of produced desalinated water and the total cost rate are 153.89 m3/h and 153.58 $/h, respectively.
引用
收藏
页数:20
相关论文
共 81 条
[1]   Experimental Study on Performance Assessment of Hydraulic Power Take-off System in Centipede Wave Energy Converter Considering Caspian Sea Wave Characteristics [J].
Aghanezhad, M. ;
Shafaghat, R. ;
Alamian, R. ;
Seyedi, S. M. A. ;
Asadabadi, M. J. Raji .
INTERNATIONAL JOURNAL OF ENGINEERING, 2022, 35 (05) :883-899
[2]   Green hydrogen & electricity production via geothermal-driven multi-generation system: Thermodynamic modeling and optimization [J].
Alirahmi, Seyed Mojtaba ;
Assareh, Ehsanolah ;
Pourghassab, Nader Nadaki ;
Delpisheh, Mostafa ;
Barelli, Linda ;
Baldinelli, Arianna .
FUEL, 2022, 308
[3]   Thermodynamic performance evaluation of a geothermal ORC power plant [J].
Altun, A. F. ;
Kilic, M. .
RENEWABLE ENERGY, 2020, 148 :261-274
[4]   Impact of utilizing hollow copper circular fins and glass wool insulation on the performance enhancement of pyramid solar still unit: An experimental approach [J].
Asadabadi, Mohammad Javad Raji ;
Sheikholeslami, M. .
SOLAR ENERGY, 2022, 241 :564-575
[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]   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
[7]   Energy and exergy analysis of an integrated photovoltaic module and two-stage thermoelectric generator system [J].
Chen, Xingguo ;
Huang, Yuewu ;
Chen, Zhuo .
APPLIED THERMAL ENGINEERING, 2022, 212
[8]   A comparative performance analysis, working fluid selection, and machine learning optimization of ORC systems driven by geothermal energy [J].
Chitgar, Nazanin ;
Hemmati, Arman ;
Sadrzadeh, Mohtada .
ENERGY CONVERSION AND MANAGEMENT, 2023, 286
[9]   Development and exergoeconomic evaluation of a SOFC-GT driven multi-generation system to supply residential demands: Electricity, fresh water and hydrogen [J].
Chitgar, Nazanin ;
Emadi, Mohammad Ali .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (34) :17932-17954
[10]   Design and evaluation of a novel multi-generation system based on SOFC-GT for electricity, fresh water and hydrogen production [J].
Chitgar, Nazanin ;
Moghimi, Mahdi .
ENERGY, 2020, 197