Passive Energy-Saving Optimal Design for Rural Residences of Hanzhong Region in Northwest China Based on Performance Simulation and Optimization Algorithm

The rural residences of Northwest China are characterized by a state high energy consumption and low comfort due to the limited economic level awareness energy-saving compared with urban residences. To remedy this, appropriate passive design strategies should be adopted first, in order provide mode cost for under premise thermal comfort. In this paper, taking Hanzhong region (Shaanxi Province, China) as an example, we establish benchmark model based on field survey develop optimization process combining EnergyPlus simulation software, MOBO engine, weighted sum method. action mechanisms parameters, including building orientation, length–width ratio, envelope external shading system, window–wall heating, cooling, total analyzed, quantitative relationships between single-parameter established. Then, mutually restricted indices initial investment taken objectives, 17 parameters selected variables. NSGA-II algorithm is conduct multi-parameter, multi-objective houses area, through coupling software. way, Pareto solutions obtained value distributions multi-objectives analyzed. Based actual requirements decision-makers using weight method, three schemes focusing different performance tendencies proposed. results indicate that proposed process, can significantly reduced while costs into account, where rate range 31.9–61.5%. When EC/IC ratio 1:1, 2:1, 1:2, reach 51.5%, 57.8%, 43.5%, respectively. It beneficial pattern renovation area China.