MULTI-OBJECTIVE OPTIMIZATION AND IMPROVED SUBJECTIVE-OBJECTIVE EVALUATION FOR REGIONAL INTEGRATED ENERGY SYSTEMS

被引:0
作者
Han, Zhonghe [1 ,2 ]
Zhao, Xin [1 ,2 ]
Yang, Shiming [1 ,2 ]
Li, Rui [1 ,2 ]
机构
[1] Department of Power Engineering, North China Electric Power University, Baoding
[2] Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology, North China Electric Power University, Baoding
来源
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 12期
关键词
hesitant evaluation; multi-objective optimization; objective weighting method; regional integrated energy systems; subjective;
D O I
10.19912/j.0254-0096.tynxb.2023-1168
中图分类号
学科分类号
摘要
Taking the regional integrated energy system as the research object,the study firstly conducts an optimization strategy analysis. Then,a multi-objective optimization is carried out,specifically targeting energy efficiency,economy,and environment. Subsequently,using an improved BWM method(HWBM)combined with the entropy weight method,an objective-subjective weight evaluation system is established,leading to the determination of an optimal system configuration and operational planning. Findings reveal that the design strategy effectively addresses the multi-energy coordination issue. Compared to the traditional combined cooling,heating,and power system,the optimal system achieves a 14.9% reduction in fossil fuel consumption,8.9% in annual investment costs,4.7% in energy costs per degree,14.9% in carbon emissions,and 18.1% in water consumption. The outcomes emphasize the notable advantages in energy,economy,and environmental protection. © 2024 Science Press. All rights reserved.
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页码:606 / 616
页数:10
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