LAUSR

The window and shading configuration is the weak link of heat insulation in the outer protective structure. And it is also an important means of visual performance, which plays an important part in building energy savings. Resulting from the influence of weather and solar radiation, there are contradictions among the energy consumption, visual performance and thermal environment. Therefore, in order to optimize the three factors, an effective optimization method is necessary. For the window design, the existing studies mostly focus on the analysis of energy consumption performance, less on the sound insulation performance. In addition, the optimal configuration of windows and shading system under different climatic regions and orientations has been solved. In this paper, a multi-objective optimization model considering building energy consumption, thermal environment and visual performance was proposed by introducing window orientation, window–wall ratio, window configuration, shading angle and length parameters. And it uses the non-dominated sequencing genetic algorithm NSGA-II and energy simulation software EnergyPlus. The corresponding Pareto solution set was obtained from the assumed room in a cold region, hot summer and cold winter region and hot summer and warm winter region, respectively. The optimal recommended values of window parameters in each direction were determined by analyzing the Pareto solution set. The effectiveness of the multi-objective optimization model is proved by using the linear weighted sum method, and the optimization method of sound insulation effect is discussed. The optimization model in this paper is helpful for designers to choose the optimal design scheme, so that it can comply with the design requirements in terms of energy consumption, thermal environment, visual performance and achieve the overall optimal performance.