Research on the Analysis of Thermal Environment and Lighting Balance Efficiency of Green Buildings Based on Optimization Calculation Methods

In the context of growing concerns over global warming and environmental pollution, the construction industry is facing unprecedented energy conservation burdens and environmental pressures. This paper aims to address issues related to indoor thermal environment and daylighting balance in green buildings. By employing optimization algorithms to calculate and design systems, the paper seeks to optimize building performance and explore new strategies for energy balance and daylighting balance in green building design. Using a non-dominant sorting genetic algorithm and parametric design software, an evaluation model for indoor environmental comfort in green building design is constructed, and the effectiveness of the optimized design strategy is validated. This research method begins with an application study of green technology innovations on building energy conservation and emissions reduction effects, based on actual surveys and field data collection. Not only did the optimized design control building energy consumption and indoor thermal environmental comfort, resulting in a 19.5% improvement in energy-saving indicators per unit building area and thermal comfort satisfaction in green buildings (from 70% to 85%), but it also made valuable contributions to filling gaps in the field of green building research, providing useful references and bases for the practical application of green buildings. The study demonstrates the significant potential of green buildings for energy conservation, emissions reduction, and protection of the Earth's environment.