暖通空调>期刊目次>2025年>第6期

基于削峰填谷的建筑电池容量配置计算方法及案例分析

Calculation method of building battery capacity configuration based on peak shaving and valley filling and case study

尹茹昕[1] 季 亮[1] 孙昀灿[1] 董高霞[2]
[1]上海市建筑科学研究院有限公司,上海;[2]上海临港新片区住房建设发展(集团)有限公司,上海

摘要:

围绕建筑储能系统在负荷调节中的应用,从平滑建筑用能负荷曲线、提升电网运行效率的核心目标出发,构建了一套基于削峰填谷的建筑储能容量计算及评价方法。以上海市办公建筑、商业综合体及酒店建筑为实证对象,揭示了日尺度下各类建筑最优储能容量配置情况及储能容量与负荷曲线变异系数之间的关系。此外,通过进一步开展多建筑多工况的回归分析,建立了初始变异系数与最优储能率的回归模型,形成了年尺度下建筑基于削峰填谷的储能容量配置快速分析方法。研究成果为建筑储能系统的优化配置提供了理论依据,对推进需求侧响应和新型电力系统建设具有实践指导价值。

关键词:建筑储能;削峰填谷;储能容量;变异系数;负荷调节;储能率

Abstract:

This study focusing on the application of building energy storage systems to load regulation, based on the core objectives of smoothing building energy consumption curves and improving grid operation efficiency, develops a calculation and evaluation method for building energy storage capacity using peak shaving and valley filling strategies. Taking office buildings, commercial complexes, and hotel buildings in Shanghai as case studies, the research reveals daily-scale optimal energy storage capacity configurations and their relationships with the load curve coefficient of variation. Additionally, through multi-building and multi-scenario regression analysis, this study establishes a regression model between initial coefficient of variation and optimal energy storage rate, forming a rapid analysis method for annual-scale storage capacity configuration based on peak shaving and valley filling. The findings provide theoretical support for optimizing building energy storage systems and practical guidance for advancing demand-side response and new power system development.

Keywords:building energy storage; peak shaving and valley filling; energy storage capacity; coefficient of variation; load regulation; energy storage rate

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