Strategy and capacity optimization of renewable hybrid combined cooling, heating and power system with multiple energy storage

被引:10
作者
Wang, Zhi [1 ]
Li, Shengxu [1 ]
Cai, Wenkui [1 ]
Li, Peng [1 ]
Deng, Jun [1 ]
机构
[1] North China Elect Power Univ, Sch Energy Power & Mech Engn, Dept Power Engn, Baoding 071003, Peoples R China
基金
中国国家自然科学基金;
关键词
Combined cooling heating and power system; Capacity optimization; Operation strategy; Nondominated sorting genetic algorithm II; PERFORMANCE ANALYSIS; CCHP SYSTEMS;
D O I
10.1016/j.applthermaleng.2024.122499
中图分类号
O414.1 [热力学];
学科分类号
摘要
Combined cooling, heating, and power systems offer significant potential for integration with renewable energy sources, such as solar and geothermal energy, alongside energy storage devices. However, the effectiveness and feasibility of these systems depend crucially on the operational strategies and capacity planning for each component. Therefore, an innovative hourly dynamic simulation model that integrates solar energy, geothermal energy, and multiple energy storage devices is established. Using the multi-objective comprehensive evaluation method that combines Technique for Order Preference by Similarity to Ideal Solution methods and nondominated sorting genetic algorithm-II including elite strategy, establish five dimensions of multi-objective optimization model, including energy-saving, economy, environmental protection, system independence and renewable energy utilization scale. Meanwhile, the system and reference system in a community in Beijing are used as models to analyze the equipment capacity under the three operating strategies. The findings reveal that, compared to the reference system, the new system attains optimal performance when following the electrical load strategy. Its comprehensive index reaches 69%, surpassing the thermal load and hybrid load strategies by 8% and 11%, respectively. When the target is set as "independence-renewable energy-cost," the utilization rate of solar energy and geothermal energy reaches an impressive 79%, showcasing excellent renewable energy utilization. The presented model holds substantial significance for advancing research in the realms of operating strategies and equipment capacity planning within such systems.
引用
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页数:14
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