4.6 Article

Multi-objective optimization of equipment capacity and heating network design for a centralized solar district heating system

期刊

BUILDING SIMULATION
卷 16, 期 1, 页码 51-67

出版社

TSINGHUA UNIV PRESS
DOI: 10.1007/s12273-022-0921-0

关键词

solar energy; solar energy system; district heating; optimization design; genetic algorithm

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Northwest China has abundant solar energy resources and a large demand for winter heating. This study developed a joint multi-objective optimization model for the equipment capacity and the diameters of the heating network pipes of a centralized solar district heating system. The results show that the solar heating system designed using this method has lower economic cost and higher environmental protection.
Northwest China has abundant solar energy resources and a large demand for winter heating. Using solar energy for centralized heating is a clean and effective way to solve local heating problems. While present studies usually decoupled solar heating stations and the heating network in the optimization design of centralized solar heating systems, this study developed a joint multi-objective optimization model for the equipment capacity and the diameters of the heating network pipes of a centralized solar district heating system, using minimum total life cycle cost and CO2 emission of the system as the optimization objectives. Three typical cities in northwest China with different solar resource conditions (Lhasa, Xining, and Xi'an) were selected as cases for analysis. According to the results, the solar heating system designed using the method proposed in this study presents lower economic cost and higher environmental protection in comparison to separately optimizing the design of the solar heating station and the heating network. Furthermore, the solar fraction of the optimal systems are 90%, 70%, and 31% for Lhasa, Xining, and Xi'an, and the minimum water supply temperatures are 55 degrees C, 50 degrees C, and 65 degrees C for an optimal economy and 55 degrees C, 45 degrees C, and 45 degrees C for optimal environmental protection, respectively. It was also established that the solar collector price has a greater impact on the equipment capacity of the solar heating station than the gas boiler price.

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