Simulation of Vertical Temperature Distribution in Green Building Space Based on the Niche Genetic Algorithm

At present, green buildings often emphasize the indoor space environment, and they have different demands for health, comfort and user production efficiency. In general, green buildings make full use of sunlight and save energy. However, the vertical temperature distribution of buildings is changeable, and the temperature difference is large in different periods, leading to the unsatisfactory effect of heat utilization. Therefore, a method of simulating vertical temperature distribution in green building space based on a niche genetic algorithm was proposed. Based on the sharing mechanism, the niche idea was used to reflect the sharing function of the similarity among individuals so that the spatial fitness of each level could be obtained. The temperature internal force values of the connecting components and the internal and external vertical components were calculated, and then the calculation for the vertical temperature distribution of green building space was completed. Simulation results show that the temperature simulation error in the proposed method is small, so this method can provide a solid theoretical basis for different production needs.