Correlation analysis between energy conservation potential and spatial form of existing buildings in hot summer and cold winter areas

Urban areas account for over 60% of the world’s energy consumption. Under the severe challenges of climate change and the energy crisis, energy conservation retrofit of existing buildings is essential for urban regeneration. This study aims to analyze the correlation between the energy conservation potential and the spatial form of existing buildings and excavate the key spatial form factors that affect the energy conservation potential of existing buildings. Consequently, taking the Yancheng Polytechnic College as an example, this study selected 7 active and passive energy conservation measures(ECMs) and called the EnergyPlus kernel through the Rhino and Grasshopper to simulate energy consumption.

Subsequently, correlation analysis and multiple linear regression were used to investigate the influence mechanism between building energy conservation potential and spatial form factors. A strong correlation was found between energy conservation potential and factors, namely BSF, WWR, and HLR. The result can provide theoretical and data support for energy-efficient optimization of urban regeneration to mitigate climate change and energy crises.