An optimal configuration for hybrid SOFC, gas turbine, and Proton Exchange Membrane Electrolyzer using a developed Aquila Optimizer

被引：53

作者：

Wang, Shicheng ^{[1
]}

Ma, Jiawei ^{[1
]}

Li, Wei ^{[1
]}

Khayatnezhad, Majid ^{[2
]}

Rouyendegh, Babak Daneshvar ^{[3
]}

机构：

[1] Southwest Petr Univ, Sch Econ & Management, Chengdu 610500, Sichuan, Peoples R China

[2] Islamic Azad Univ, Ardabil Branch, Young Researchers & Elite Club, Ardebil, Iran

[3] Ankara Yildirim Beyazit Univ, Ankara, Turkey

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2022年 / 47卷 / 14期

关键词：

SOFC; Economic optimization; Gas turbine; Proton exchange membrane; electrolyzer; Multiple-criteria optimization; FORECAST ENGINE; ENERGY; EXERGY; SYSTEM; HEAT;

D O I：

10.1016/j.ijhydene.2021.12.222

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：

In this research, a technical, economic and environmental analysis has been proposed to a Hybrid Solid Oxide Fuel Cell (SOFC) system-based hybrid system including biomass, gas turbine, and Proton Exchange Membrane Electrolyzer. A multi-objective optimization technique has been utilized to improve the overall product cost and the exergy effectiveness based on a developed version of Aquila Optimizer (DAO). The main idea of using the developed version is to improve the accuracy and the precision of the original Aquila optimizer. The system is then authenticated in terms of energy/exergy effectiveness, and energy-economic efficiency. The achievements indicate that employing the optimization algorithm for different configurations provided satisfying results for the system.

引用

页码：8943 / 8955

页数：13

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