Multi-objective Optimization Research On Energy Consumption And Light-thermal Performance Of High-rise Residential Buildings In Severe Cold Regions

High-rise residential buildings,as the most common civil buildings in recent years,have higher requirements in terms of energy and resource demand than ordinary residential buildings.The current design of high-rise residential buildings usually pays more attention to the architectural shape and interior layout,while ignoring the performance optimization of the project,and due to the lack of corresponding performance optimization tools and multi-objective optimization process,it is difficult for architects to fully consider the multiple aspects of the building in the scheme design.A performance index,and effective optimization.Therefore,starting from the performance optimization of high-rise residential buildings in severe cold regions,this paper conducts a multi-objective optimization design research on high-rise residential buildings in severe cold regions based on the three performance indicators of building energy consumption,effective natural light and thermal comfort.First of all,the research on the climate characteristics of severe cold areas and the current situation of energy consumption and light and heat environment of high-rise buildings systematically explored the energy use and physical environment characteristics of high-rise buildings in this area,and established a typical model of high-rise residential buildings in this area,considering energy consumption and Photothermal performance,establishing a multi-objective optimization design process for high-rise residential buildings in severe cold areas.Secondly,use the energy consumption simulation plug-in Ladybug&Honeybee on the Grasshopper platform to conduct multi-level simulations on building energy consumption,effective natural light intensity,and thermal comfort,respectively,and compare and analyze the impact of various design parameters on performance indicators,and combine multiobjective optimization algorithms and The Octopus optimization algorithm engine carries out automatic optimization of the design parameters of high-rise residential buildings,and finds the optimal solution set of each design parameter by comparing the experimental data.Finally,the correlation analysis of design parameters such as orientation,storey height,north-south window-to-wall ratio,window glass type,storey height,window height,and window sill height is carried out,and design optimization strategies for building energy consumption and solar-thermal performance are proposed.On this basis,the design practice of a community project in Hohhot was carried out,and the simulation results of the original scheme and multiple optimized schemes were compared.It was found that the energy consumption and solar thermal performance of the optimized scheme were significantly improved,and the experimental method and design were further verified.accuracy of the strategy.