Optimization of a biomass-driven Rankine cycle integrated with multi-effect desalination, and solid oxide electrolyzer for power, hydrogen, and freshwater production

被引:98
作者
Xu, Yi-Peng [1 ,2 ]
Lin, Zhi-Han [1 ]
Ma, Tian-Xing [3 ]
She, Chen [4 ]
Xing, Si-Ming [2 ]
Qi, Lu-Yu [5 ]
Farkoush, Saeid Gholami [6 ]
Pan, Jiawen [7 ]
机构
[1] China Univ Min & Technol Beijing, Sch Management, Beijing 100083, Peoples R China
[2] Tiangong Univ, Sch Math Sci, Tianjin 300387, Peoples R China
[3] Cent South Univ, Sch Resources & Safety Engn, Changsha 410083, Hunan, Peoples R China
[4] Tiangong Univ, Sch Econ & Management, Tianjin 300387, Peoples R China
[5] Tiangong Univ, Sch Elect & Informat Engn, Tianjin 300387, Peoples R China
[6] Yeungnam Univ, Dept Elect Engn, Yeungnam, South Korea
[7] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China
关键词
Polygeneration system; Biomass gasification; solid oxide electrolyzer; cell; Multi-effect desalination; Multi-criteria optimization; MULTIGENERATION ENERGY SYSTEM; EXERGY ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; MULTICRITERIA OPTIMIZATION; THERMODYNAMIC ANALYSIS; FUEL-CELL; GASIFICATION; GENERATION; PERFORMANCE; SOLAR;
D O I
10.1016/j.desal.2021.115486
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The current work is a study of electricity, hydrogen, and freshwater polygeneration system fueled by biomass fuel. Accordingly, innovative integration of a Rankine cycle, a multi-effect desalination, and a solid oxide electrolyzer cell has been considered utilizing a syngas production biomass combustion chamber. The waste heat and a part of the output electricity of the Rankine cycle have been employed to launch the desalination and electrolyzer units, respectively. The suggested polygeneration is analyzed from the thermodynamic and exergoeconomic viewpoints through developing a code in engineering equation solver software and a multi-criteria optimization via MATLAB software. Hence, the NSGA-II optimization method and decision-making TOPSIS technique have been implemented. The parametric study has been conducted based on the effect of biomass fuel mass flow rate, turbine inlet pressure, combustion chamber outlet temperature, and pinch point temperature difference of the steam generator on the thermodynamic and exergoeconomic variables of the whole system. Considering the total exergy destruction rate, exergy efficiency, and total unit exergy cost of products as objective functions, the suggested system achieved the optimum values of 17.64%, 7658.5 kW, and 26 $/GJ corresponding for these variables.
引用
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页数:20
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