Research on the establishment of rural house optimal design pattern in northwest cold region under multi-objective conditions
Energy saving in rural housing is a critical pathway to achieve the energy conservation and emission reduction in the field of urban and rural construction.However,while pursuing reduced energy consumption,derivative problems such as reduced comfort and increased investment cost may arise.Therefore,it is necessary to explore the building design pattern research under multi-objective conditions.Based on MOBO optimization software,NSGA-Ⅱ optimization algorithm,EnergyPlus simulation engine and multi-attribute decision making method,it establishes a construction method for building design pattern oriented by multi-objective optimization.As well as,the application analysis is carried out by taking the rural house in the cold area of Northwest China as an example.It selects the building energy consumption,indoor thermal comfort and investment cost as optimization objectives,and building form parameters,envelope parameters and indoor thermal environment parameters as optimization variables.Finally,the optimization design pattern and technical template considering different target-oriented requirements are obtained.Results show that the building energy saving rate,APPD improvement rate and the increment of initial investment are 54.0%,57.6%and 182.40 yuan/m2 respectively for the global comprehensive performance optimal scheme.Compared with the solutions from single-objective optimization,the multi-objective optimization provides more feasible solutions by balancing the contradiction among different objectives,offering valuable insights for the optimal design of rural houses in the northwest cold region.
multi-objective optimizationnorthwest cold regionrural housebuilding energy efficiencydesign pattern