چكيده به لاتين
School buildings account for a significant share of energy consumption. One way to supply energy to school buildings is to use renewable sources for lighting and heating purposes, such as natural daylight. However, to use natural light, attention to thermal and visual comfort should be paid, which are the most critical factors in designing educational buildings. In this research, using a multi-objective genetic algorithm, a model for optimization and trade-off between reducing energy consumption and increasing thermal and visual comfort is presented. First, six types of classroom forms were simulated, then optimization was done using influential factors. The following parameters were considered in the optimization analysis: direction, glass materials, window to wall ratio, shader depth, shader distances, number of shaders, and shader angle. This simulation is based on the data collected from Qeshm Island, which has an extremely hot and humid climate. All six classes show the best possible state in energy consumption and thermal and visual comfort. The proposed model can minimize energy consumption and maximize thermal and visual comfort, and it can provide the most optimal solution for school building designers. From six class models, the most optimal one is selected, and a six-class primary school in Qeshm Island is designed
