Optimization of CCHP integrated with multiple load, replenished energy, and hybrid storage in different operation modes

被引:31
作者
Dai, Yiru [1 ]
Zeng, Yipu [1 ]
机构
[1] Tongji Univ, CIMS Res Ctr, Shanghai 201804, Peoples R China
基金
上海市自然科学基金;
关键词
Combined cooling; heating; and power; Hybrid storage; Operation mode; Climbing rate; Optimization; PSO-GA based Bi-layer algorithm;
D O I
10.1016/j.energy.2022.125129
中图分类号
O414.1 [热力学];
学科分类号
摘要
For the multiple loads including electricity, heating, and cooling, a type of CCHP (combined cooling, heating, and power) integrated with internal combustion engine, gas boiler, heat exchanger, electric chiller, and hybrid storage is presented. From the perspective of preferential meeting for different energy demand, this study extends the basic operation modes of FEL and FTL to five operation modes including FEL-H(Following Electrical Load by Heating Load), FEL-C(Following Electrical Load by Cooling Load), FTL-E(Following Thermal Load by Electrical Load), FCL-E(Following Cooling Load by Electrical Load), and FTCL-E(Following Thermal and Cooling Load by Electrical Load). Under these five modes, the proposed CCHP is optimized to obtain the optimal capacity of prime mover and the start-stop strategy for hybrid storage. The optimization model employs the integrated economic cost target and PSO (Particle Swarm Optimization)-GA (Genetic Algorithm) based bi-layer optimization algorithm. Moreover, the sensitivity analysis of the climbing rate of ICE and the maximum charge/discharge power of hybrid storage on the system performance is conducted. The result shows that CCHP with hybrid storage has a better economic benefit in all operation modes, and the primary energy utilization ratio for the system with hybrid storage in FEL-H and FEL-C can be achieved with 80%.
引用
收藏
页数:15
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