A green hydrogen energy storage concept based on parabolic trough collector and proton exchange membrane electrolyzer/fuel cell: Thermodynamic and exergoeconomic analyses with multi-objective optimization

被引:182
作者
Razmi, Amir Reza [1 ]
Alirahmi, Seyed Mojtaba [2 ]
Nabat, Mohammad Hossein [3 ]
Assareh, Ehsanolah [4 ]
Shahbakhti, Mahdi [1 ]
机构
[1] Univ Alberta, Dept Mech Engn, Edmonton, AB, Canada
[2] Aalborg Univ, Dept Chem & Biosci, Niels Bohrs Vej 8A, DK-6700 Esbjerg, Denmark
[3] KN Toosi Univ Technol, Dept Mech Engn, Tehran, Iran
[4] Islamic Azad Univ, Dept Mech Engn, Dezful Branch, Dezful, Iran
关键词
Hydrogen storage; PEM electrolyzer; fuel cell; Parabolic trough collector; Thermodynamic and; exergoeconomic analyses; Grey wolf multi-objective; ORGANIC RANKINE-CYCLE; PEM FUEL-CELL; EXERGY ANALYSIS; WASTE HEAT; SYSTEM; SOLAR; POWER; CONVERSION;
D O I
10.1016/j.ijhydene.2022.03.021
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
With the continuous penetration of renewable energy plants into energy markets and their surplus power generation during off-peak periods, the need for utility-scale energy storage technologies is globally prioritized. Among the existing large-scale energy storage technologies, hydrogen storage has appeared as a powerful alternative due to its environmental benefits and the ability to store a large amount of energy for several hours to months. The major objective of the proposed research is to introduce a novel configuration of green hydrogen production for power generation during peak demand periods. In this regard, an innovative hybridization of a solar unit based on a parabolic trough collector with a protonexchange membrane electrolyzer and a fuel cell is introduced and analyzed from the thermodynamic and exergoeconomic perspectives. Moreover, a sensitivity analysis and a multi-objective optimization based on the combination of neural network and grey wolf optimization algorithms are conducted to select the best working fluid of the solar unit and ideal operating conditions according to the minimum cost rate and the maximum exergy efficiency. The results indicate that DowthermTM A synthetic oil is the best working fluid, and the proposed system can generate 9,14.9, and 20.1 MW of power during off-, mid-, and
引用
收藏
页码:26468 / 26489
页数:22
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