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Simulation And Optimization Of Wind Thermal Environment In Residential Area

Posted on:2023-10-25Degree:MasterType:Thesis
Country:ChinaCandidate:S GuoFull Text:PDF
GTID:2530306851994269Subject:Architecture and civil engineering
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With the rapid expansion of urbanization level,the number of city population is steadily raising,and structures and populations are increasingly gathering in the limited space inside the city.Unreasonable urban planning and design,unreasonable building layout and improper use of building materials make the urban hot environment,especially the residential hot environment,increasingly severe.The harsh wind environment and hot environment in residential areas will increase the energy consumption of air conditioning in summer,and will also do harm to human health.In recent years,more and more experts and scholars believe that the most effective way to fundamentally improve the environmental quality of residential areas is scientific planning and design.This requires us to pay attention to the wind and heat environment of the community when planning the community,and predict the wind and heat environment of the community in advance through simulation and other methods,in this manner,search out the exsiting questions and make the related questions better.In this thesis,taking outdoor wind environment and thermal environment as the main research objects,the influencing factors of wind environment and thermal environment are simulated.The results show that there is an inseparable relationship between wind environment and thermal environment.A multi-objective optimization system based on wind environment,thermal environment and sunshine environment is established and applied to practical projects.The main contents are as follows:Firstly,the influencing factors of wind and heat environment are analyzed one by one,including the following aspects: building width,building height,building and dominant wind direction angle and building spacing;Factors affecting the thermal environment: ventilation,atmospheric temperature,solar radiation intensity,building height and building spacing.Secondly,the numerical simulation method is used to divide the influencing factors into different situations,simulate different working conditions,and analyze the simulation results respectively,so as to analyze the influence of different situations on the thermal environment and wind environment,and put forward some feasible suggestions for the outdoor wind environment and thermal environment.It is found that the wind environment and thermal environment in the city are rather bad,and the micro-environment simulation analysis has some problems such as low efficiency in traditional design.At the same time,it is found that the wind environment and thermal environment will influence each other.If we can comprehensively consider the wind environment and thermal environment together,we will get more accurate results.The last,for the sake of raising the efficiency of city programme and optimize the outside microenvironment go hand in hand,aiming at the initial period of the scheme,this thesis Grasshopper parametric platform is used to optimize the design of outdoor wind environment,thermal environment and sunshine environment.At the beginning of the research,the parametric methods of urban design at home and abroad were integrated and compared with the evaluation indexes of outdoor environment,and the evaluation indexes were converted into computer-readable language through Grasshopper parametric design platform,and each evaluation index was calculated.The concept and processing method of multi-objective problem are also studied,and Octopus plug-in of Grasshopper parametric design platform is selected.A multi-objective optimization system of urban design is designed.Combined with an old community in Shenhe District,Shenyang,four schemes,namely,the best wind environment,the best thermal environment,the best sunshine environment and the best objectives,are obtained.The four optimization programmes are analyzed and contrasted from two sides of comfort and economy,which can provide some reference for designers and a way of thinking for future urban construction.
Keywords/Search Tags:Wind-heat environment, Numerical simulation, Multi-objective genetic algorithm
PDF Full Text Request
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