BIM-Enabled Optimization of Thermodynamic Performance in Green Buildings

Against the backdrop of global climate change and the "dual carbon" targets, the optimization of thermodynamic performance in green buildings has emerged as a critical strategy for enhancing energy efficiency and indoor environmental quality.Building Information Modeling (BIM) provides a comprehensive platform for life-cycle data integration, supporting performance analysis in green building design.However, current practices face challenges in multi-objective collaborative optimization and in the underutilization of the latent value embedded in BIM data.Existing studies have predominantly focused on single-objective optimizations or have relied on simplified thermodynamic models, often neglecting the integrated consideration of carbon emissions, thermal comfort, and the advanced application of granular BIM data.Furthermore, research on indoor thermal comfort has lacked dynamic coupling validation of green envelope performance and has failed to establish a closed-loop "optimization-verification" mechanism.To address these limitations, a BIM-based multi-objective optimization framework was proposed for the thermodynamic performance of green buildings.This framework integrates objectives, including energy consumption, carbon emission intensity, hygrothermal performance, and indoor thermal comfort potential.A synergistic optimization of envelope parameters and spatial configurations was achieved through the coupling of intelligent algorithms with BIM-based models.Based on the optimized scheme, the thermal comfort compliance rate was verified by incorporating green envelope performance, and the Predicted Mean Vote (PMV) index was calculated to evaluate compliance across various scenarios, enabling reverse calibration of the model.A datadriven technical chain encompassing multi-objective optimization and performance verification was established in this study, offering a quantifiable design foundation that balances energy efficiency and thermal comfort, thereby extending the application potential of BIM in performance-oriented building design.