Research on multi-objective optimization of green and low-carbon rural houses in western Inner Mongolia based on improved LSSVM-NSGA-Ⅲ
In western Inner Mongolia,the suboptimal thermal performance of the envelope structure of rural houses,combined with inefficient winter heating and low renewable energy adoption,result in considerable heating energy expenditure,inadequate indoor comfort,significant carbon emissions,and economic hardships.These issues impede the transition to green and low-carbon practices in rural housing.These issues impede the transition to green and low-carbon practices in rural housing.Based on the data collected from field research and literature,this paper jointly established a benchmark model of rural housing and renewable energy co-heating system by using DeST and Trnsys software.Ten influencing factors and six rural housing performance indicatorswere selected to construct a sample dataset for green and low-carbon solutions based on the orthogonal test method.Using the trained GA-LSSVM model as the fitness function of the PSO-NSGA-Ⅲ.model,the multi-objective optimization of green and low-carbon rural housing in western Inner Mongolia was carried out,and the Pareto optimal solution set was obtained.Then,the entropy weight-TOPSIS method was used to obtain the optimal scheme.The results show that compared with the benchmark model,in optimal scheme,the energy saving rate reaches 100％,the indoor PMV value on the coldest day is in the range of[-1,1],the cost-effectiveness ratio of the whole life cycle is>1,which indicates that the optimal scheme is economically feasible,greatly improves the utilization rate of renewable energy,and effectively reduces carbon emissions.The research provides a research direction for the green and low-carbon development of rural housing in the western Inner Mongolia,and has a certain popularization in the rural areas of the western Inner Mongolia.
green and low-carbon farmhousesDeST and TrnsysGA-LSSVM modelPSO-NSGA-Ⅲ modelMulti-objective optimization
万方数据
维普
