网络出版:2025-07-07,
纸质出版:2025
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刘瑞, 王子艺, 赵斌, 等. 计及P2G与热能品位的园区分布式能源系统优化配置[J]. 太阳能学报, 2025,46(6):470-477.
刘瑞, 王子艺, 赵斌, et al. 计及P2G与热能品位的园区分布式能源系统优化配置[J]. 2025, 46(6): 470-477.
刘瑞, 王子艺, 赵斌, 等. 计及P2G与热能品位的园区分布式能源系统优化配置[J]. 太阳能学报, 2025,46(6):470-477. DOI: doi:10.19912/j.0254-0096.tynxb.2024-0188.
刘瑞, 王子艺, 赵斌, et al. 计及P2G与热能品位的园区分布式能源系统优化配置[J]. 2025, 46(6): 470-477. DOI: doi:10.19912/j.0254-0096.tynxb.2024-0188.
为降低园区供能成本与CO2排放量
满足工业生产中不同品位能源需求
提出一套计及电转气(P2G)与不同品位热能供应的园区分布式能源系统。首先
基于k-均值聚类算法选取典型日负荷
建立以系统年总成本和CO2排放量最低为目标的容量优化模型;然后
对于求解所得的Pareto前沿采用熵权法修正的TOPSIS方法进行决策;最后
对比不同的系统组成对其综合性能的影响。研究结果表明
所提计及P2G与热能品位的园区分布式能源系统具有较高的经济性和环保性
热泵与P2G耦合有效提升系统的可再生能源消纳能力
优化系统能源供给
使得系统的㶲效率提升16.8%。
To reduce the energy supply cost and CO emissions of the park and meet the energy demands of different grades in industrial production
a distributed energy system for the park that takes into account P2G and the supply of thermal energy of different grades is proposed. Firstly
the typical daily load is selected using the -means clustering algorithm. Then
a capacity optimization model is established with the objective of minimizing the annual total cost and CO emissions of the system. Next
a decision-making process is initiated utilizing the TOPSIS method
which has been adjusted through entropy weighting
in order to address the derived Pareto frontier. Finally
a comparative analysis is conducted to investigate the impact of different system configurations on their overall performance. The research results indicate that the proposed distributed energy system for the park which considers P2G and thermal energy grades is more economical and environmental friendly. The integration of heat pumps and P2G technology effectively enhances the system's renewable energy absorption capacity
optimizes its energy supply
and improves its exergy efficiency by 16.8%.
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