Analysis and multi-objective optimization of SOFC/GT/SCO2 hybrid power system based on thermodynamics and economics

被引：35
作者：
Xia, Minjie [1 ]
Yao, Shouguang [1 ]
Ying, Chao [1 ]
机构：
[1] Jiangsu Univ Sci & Technol, Sch Energy & Power, Zhenjiang 212000, Peoples R China
来源：
APPLIED THERMAL ENGINEERING | 2023年 / 232卷
关键词：
SOFC; GT; SCO2; Energy efficiency; Exergy efficiency; Electricity production cost; Multi-objective genetic algorithm; CELL-GAS TURBINE; THERMOECONOMIC ANALYSIS; SOFC; SIMULATION; PERFORMANCE; METHANE; EXERGY; ENERGY; MODEL;
D O I：
10.1016/j.applthermaleng.2023.121033
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
SOFC/GT hybrid power systems with the advantages of high energy efficiency and low emissions are important directions of energy research. This study proposes a new SOFC/GT/SCO2 hybrid power system, in which the SCO2 cycle is placed inside the SOFC/GT subsystem, and the waste heat of the SCO2 cycle is used for heating the air of the system to achieve good thermal matching between the system. After system construction, the system is thermodynamically and economically evaluated, and the influence of parameters on system operation performance is investigated. The system's energy efficiency and the electricity production cost are optimized by a multi-objective genetic algorithm. The optimized net output power, energy efficiency, and exergy efficiency of the system are increased to 226.374 kW, 60.42%, and 63.03%, respectively, and the electricity production cost decreases to 0.079 $/kWh. Results show that placing the SCO2 cycle inside the SOFC/GT subsystem instead of at the tail can improve the energy efficiency of the system and effectively realize gradient energy utilization in the SOFC/GT/SCO2 hybrid power system.
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页数：15
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