Intelligent Algorithm-Based Modeling of Lighting and Thermal Environment Balance in Green Buildings

With the vigorous implementation of economic development and energy saving and emission reduction policies, people have higher requirements for both indoor comfort and building energy saving. This paper discusses the green transformation of buildings with balanced lighting and thermal environments, adopts the dynamic lighting evaluation standard and the indoor thermal comfort evaluation index PMV as the evaluation indexes of the light and heat environments, and constructs a multi-objective optimization model of light and heat environments in green buildings based on the non-dominated elite genetic algorithm NSGA-II and multi-objective optimization method, in order to achieve the goals of the green transformation with balanced lighting and heat environments and energy saving and environmental protection. The results of the bi-objective optimization of the light and heat environment show a stronger constraint relationship, which is evident in the east direction and weaker in the south direction. The dual-objective optimization results in the south direction are more stable, and the energy savings effect is over 74%. The energy saving and light environment improvement effects of the east-oriented optimal solution are overall lower than those of the south-oriented case, which shows the importance of building orientation. In addition, comparing the optimization results of heat and light thermal environment under 8 working conditions, it can be seen that under the premise of taking into account the thermal environment and indoor lighting, 40% lighting area ratio + roof local exhaust is the most effective optimization measure, at this time, the indoor vertical temperature difference all day peak can be reduced to about 8 ℃. In this paper, the characterization and optimization study of green building lighting and thermal environment is carried out, with a view to providing data support for the optimal design of the light and heat environment of green buildings in actual projects.