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

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.