综合智慧能源2025，Vol.47Issue(12)：46-56,11.DOI:10.3969/j.issn.2097-0706.2025.12.005
基于储能的寒冷地区住宅多能源供能多目标优化研究
Multi-objective optimization of multi-energy supply for residential buildings in cold regions based on energy storage
摘要
Abstract
Aiming at the current situation of high heating demand,large energy consumption,and heavy carbon emission pressure for residential buildings in cold regions during winter,and considering the coupling effect of electrical and thermal energy storage,a multi-objective optimization model of an integrated energy system incorporating photovoltaic power generation,air-source heat pumps,gas boilers,energy storage batteries,and high-temperature thermal storage devices was constructed.The performance of three optimization algorithms was compared across five cities with heterogeneous climates.Based on meteorological data from Beijing,Zhengzhou,Yinchuan,Lhasa,and Kashgar,along with a building thermal model established in EnergyPlus,the baseline energy demand was determined.Utilizing the Matlab platform,the non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ),particle swarm optimization(PSO),and simulated annealing(SA)were employed to conduct multi-objective optimization for minimizing carbon emissions and economic cost.The results showed that the NSGA-Ⅱ achieved the best trade-off between cost and carbon emissions in most scenarios,demonstrating the optimal comprehensive performance.The PSO showed significant effectiveness in optimizing operating costs in regions with long heating periods.The SA was suitable for scenarios aiming for lower operating costs,but it was typically accompanied by higher initial investment.This optimization model can balance the economic and low-carbon performance of residential buildings in cold regions,significantly improve the utilization rate of renewable energy,and provide a reference for the planning and operation of building integrated energy systems under cold climate conditions.关键词
住宅建筑/综合能源系统/寒冷地区/多目标优化/储能Key words
residential buildings/integrated energy system/cold regions/multi-objective optimization/energy storage分类
能源科技引用本文复制引用
闫京,李萌,关宝良,孟思宇,樊颜搏,王凤龙,杨尚峰,杨众杨,熊亚选..基于储能的寒冷地区住宅多能源供能多目标优化研究[J].综合智慧能源,2025,47(12):46-56,11.基金项目
国家重点研发计划项目(2022YFB2405203)National Key R&D Program of China(2022YFB2405203) （2022YFB2405203）
