Innovative multi-objective optimization for financially viable and efficient residential μCHP system planning

被引：0
作者：
Xu, Weiyan [1 ,2 ]
Tu, Jielei [1 ,2 ]
Xu, Ning [3 ]
Liu, Zuming [1 ,2 ]
机构：
[1] Yunnan Normal Univ, Coll Energy & Environm Sci, Kunming 650000, Yunnan, Peoples R China
[2] Yunnan Prov Rural Energy Engn Key Lab, Kunming 650000, Yunnan, Peoples R China
[3] Universal Architecture Lab, Shenzhen 518100, Guangdong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2025年 / 106卷
关键词：
Combined heat and power systems; Efficiency; Multi-objective OptimizationResidential; Developed slap algorithm; CONSTRAINT METHOD; MANAGEMENT; POWER;
D O I：
10.1016/j.ijhydene.2025.02.040
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
Residential micro-combined heat and power (mu CHP) systems have gained prominence for their dual roles in heat and electricity generation. This study introduces a multi-objective optimization framework for mu CHP system planning that integrates financial considerations, exergy efficiency, and thermal comfort, while addressing uncertainty through a novel estimation approach. The framework aims to maximize profits and minimize investment costs to attract investors, with additional emphasis on optimizing system efficiency and occupant comfort. A developed salp algorithm (DSA), enhanced with chaos theory, is employed to prevent local optima and ensure robust convergence. The optimization incorporates the Pareto criterion and a fuzzy mechanism for effective trade-offs among competing objectives, delivering balanced and practical solutions. Simulation results demonstrate the framework's effectiveness, achieving a 25% reduction in overall costs compared to traditional models, along with a 4% improvement in priority rankings and a 40% decrease in computation time relative to the closest competitor. The proposed approach offers a robust and efficient solution for sustainable and cost-effective mu CHP system planning, addressing real-world complexities and advancing residential energy management strategies.
引用
收藏
页码：1184 / 1197
页数：14
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