Optimization Analysis of Parametric passive Energy-saving Design for Residential Buildings

Abstract

Taking residential building in hot summer and cold winter area as research object, this paper established a model based on passive energy-saving design, and combined artificial neural network(ANN) and genetic algorithm(GA) models to analyze lighting, sunlight, and plot ratio,etc.. In addition, for the experimental test of multiple sets of data samples, the optimized passive design combination scheme was sought to verify the possibility of parametric optimization design based on genetic algorithm(GA).