Sensitivity Analysis and Optimization Method of Building Energy Consumption Based on Computer Numerical Simulation

This study aims to provide a new method for building energy consumption and improving thermal comfort both indoors and outdoors. The study proposes a dynamic “building-outdoor space” coupled model based on computer numerical simulation. The model includes the building dynamic energy consumption simulation tool Designer's Simulation Toolkit, the microclimate analysis platform, the Environment for Visualizing Images, and the non-dominated sorting genetic algorithm-II. Additionally, the study employs a global-local hybrid sensitivity analysis method to quantify the key parameters affecting energy consumption, cost-effectiveness, and thermal comfort. The results show that air-conditioning efficiency (total effect 0.603) and envelope heat transfer coefficient (total effect 0.521) are core parameters for energy consumption control. While the shading coefficient (total effect 0.682) has a positive effect on improving outdoor thermal comfort—physiological equivalent temperature.