Multi-criteria sensitivity study and optimization of an electricity/cooling/hydrogen production scheme combined with SOFC-based sequential heat recovery: Sustainability and economic analyses

被引:22
作者
Dai, Jie [1 ]
Abdulwahab, Abdulkareem [2 ]
Wei, Haoran [1 ,3 ,4 ]
Alanazi, Abdulaziz [5 ]
Alanazi, Mohana [6 ]
Alanazi, Tarek, I [7 ]
Armghan, Ammar [6 ]
Wae-hayee, Makatar [8 ]
机构
[1] Univ Malaya, Inst Adv Studies, Kuala Lumpur, Malaysia
[2] Al Mustaqbal Univ Coll, Air conditioning & Refrigerat Tech Engn Dept, Babylon 51001, Iraq
[3] China Natl Offshore Oil Corp CNOOC, Taizhou Branch, Beijing, Peoples R China
[4] Taizhou Assoc Sci & Technol, Taizhou, Jiangsu, Peoples R China
[5] Northern Border Univ, Coll Engn, Dept Elect Engn, Ar Ar 73222, Saudi Arabia
[6] Jouf Univ, Coll Engn, Dept Elect Engn, Sakaka 72388, Saudi Arabia
[7] Northern Border Univ, Coll Sci, Dept Phys, Ar Ar 73222, Saudi Arabia
[8] Prince Songkla Univ, Fac Engn, Dept Mech & Mechatron Engn, Hat Yai 90110, Thailand
关键词
Sequential heat recovery; Solid oxide fuel cell; Multi -criteria sensitivity study; Evolutionary optimization method; Sustainability; WASTE HEAT; FUEL-CELL; PERFORMANCE ASSESSMENT; HYDROGEN-PRODUCTION; SYSTEM; ENERGY; POWER;
D O I
10.1016/j.psep.2023.03.083
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The establishment of new multigeneration processes is comparable and assessable from the sustainability viewpoint. Indeed, the sustainability approach assists the economic analysis leading to appropriate combination methods. Concerning the energetic flow exhausting a solid oxide fuel cell system, this study proposes an innovative trigeneration process with high sustainability index utilizing three stages of sequential heat recovery. The process encompasses a two-stage Rankine cycle boosted by a thermoelectric generator and an ejector refrigeration unit, and a polymer electrolyte membrane electrolyzer. This system is simulated in engineering equation solver software and a comprehensive sensitivity study is accomplished. It is concluded that the most influential parameter in the whole framework is the operational temperature of the stack and in the integrated process is turbine 1 pressure. Afterward, an advanced evolutionary optimization method is employed using the MATLAB software, and the optimal point is designated from the sustainability and economic standpoints. The optimal state reveals the sustainability index of 2.61 and total unit cost of 35.93 $/GJ, improved by 12.5% and 3.8% against the base case, respectively. Besides, the electric power, cooling, and hydrogen are correspondingly produced at 389.4 kW, 112.4 kW, and 0.45 kg/h, resulting in exergy efficiency and exergoeconomic factor of 57.75% and 52.1%, respectively.
引用
收藏
页码:169 / 187
页数:19
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