Multi-objective Optimization of Hydrogen Production in Hybrid Renewable Energy Systems

被引：0
|
作者：
Seyam, Shaimaa [1 ]
Al-Hamed, Khaled H. M. [1 ]
Qureshy, Ali M. M. I. [1 ]
Dincer, Ibrahim [1 ]
Agelin-Chaab, Martin [1 ]
Rahnamayan, Shahryar [2 ]
机构：
[1] Univ Ontario Inst Technol, Dept Automot Mech & Mfg Engn, Oshawa, ON, Canada
[2] Univ Ontario Inst Technol, Dept Elect Comp & Software Engn, SMIEEE, Oshawa, ON, Canada
来源：
2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2019年
关键词：
Renewable energy system; NSGA-II optimization; Genetic Programming; Parallel Coordination; RadViz Visualization; EXERGY; DESIGN;
D O I：
10.1109/cec.2019.8790299
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The proposed multi-objective optimized hybrid renewable energy system consists of solar panels, wind turbines, a proton exchange membrane (PEM) electrolyzer for hydrogen production, and an absorption cooling system for the summer season. This study is conducted in two locations in Egypt and Saudi Arabia as the case studies. The study presents a thermodynamic analysis to investigate the system performance. In addition, an optimization-based analysis is conducted using NSGA-II algorithm to determine optimal values of the decision variables. The hybrid renewable system can operate in a significant performance with water mass flow rate of 1.8 kg/s to produce hydrogen with a mass flow rate of 0.2 kg/s, and ammonia mass flow rate of about 0.2 kg/s to produce cooling load between 40 and 120 kW with energy and exergy efficiency of more than 65%.
引用
收藏
页码：850 / 857
页数：8
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