Research on Multi-Objective Collaborative Optimization of Passive Design for Future Climate-Resilient Campus Buildings
: Addressing the complex trade-offs between thermal load reduction, shading efficiency enhancement, and daylighting quality optimization in architectural design, this study constructs a multi-objective optimization strategy model (ODSM) and conducts a long-cycle case analysis. The NSGA-II algorithm searches for Pareto optimal solutions within a seven-dimensional decision space encompassing geometric parameters and material properties, overcoming limitations of traditional static design methods. Empirical analyses across diverse climates — including Shanghai and Anchorage — demonstrate significant energy savings ranging from 35.0% to 39.3%, yielding a climate-adaptive design matrix applicable to both high and low latitudes. For Sungrove University's new student center, the study further incorporates a future climate prediction framework based on an ARMA(2,1) model, simulating hourly temperature evolution from 2026 to 2055 under the RCP 4.5 scenario. Results demonstrate that the proposed optimization scheme — combining circular windows, Low-E glass, and phase change materials — exhibits exceptional robustness under future warming conditions. By 2055, energy consumption increases by only 2.3%, achieving cumulative energy savings of 26,657 kWh. This study provides scientific, quantitative decision-making support for unlocking energy-saving potential in building envelopes throughout their lifecycle.