The Construction Of The Enclosure Structure Of Ultra-low Energy Prairie Houses In Western Inner Mongolia Based On Multi-objective Optimization

Over the past several years,a great number of energy has been put into the building energy efficiency.Aiming to transform primary energy into a low-carbon energy system mainly based on renewable energy,promote low-energy and ultra-low-energy buildings,and substantially reduce energy consumption.Located in the north of China,the economic and culture level of Inner Mongolia is relatively backward,and the industrial development of it is relatively slow.The use of energy is more traditional.By constructing an ultra-low energy-consumption residential enclosure that meets the needs of the grassland areas in western Inner Mongolia,changing the traditional energy structure,and improving the quality of the living environment of farmers and herdsmen,a new pattern of residential enclosures in the grasslands of western Inner Mongolia is provided.Based on the survey data,the regional environmental and climatic characteristics of Xinbaoligesumu in Damao Banner of Inner Mongolia Autonomous Region are summarized,and its heating energy consumption in winter,indoor thermal environment,existing residential building envelope structure and solar energy utilization are analyzed and studied.According to the overall layout of rural revitalization construction and the common needs of herdsmen for indoor comfort,the initial model of ultra-low energy consumption grassland dwellings in the west of Inner Mongolia was constructed by Dest-H software to meet the requirements of the annual consumption of no more than 30 k W h/m2 a in the cold region.Using the algorithm combining genetic algorithm and ant colony algorithm,four indexes of residential heating energy consumption,economic cost,indoor thermal environment and solar energy heating were selected as optimization objectives,and constraints such as heat transfer coefficient of residential building envelope,new investment cost and indoor PMV value were determined.Combined with MATLAB programming software,it gets the Pareto optimal solution,which is used to realize the construction of multi-objective optimization model of grassland residential enclosure structure.By judging the model convergence screening and analyzing Pareto optimal solution set,it finds the best construction program.According to the principle of full utilization of solar energy and optimal indoor lighting,when the indoor PMV value of residential houses reaches [-1,1],the annual energy consumption of residential houses shall not exceed 30 k W h/m2 a,and the economic input cost of residential houses enclosure structure shall be effectively reduced by reasonable means.It turns out that the average winter energy consumption of the multi-objective optimized ultra-low energy grassland living model in western Inner Mongolia is 2377.61 k W h,the average heat load index is 26.98 k W h/m2 a,the average PMV value is-0.08,and the average economic cost input is 143028.50 Yuan;the annual solar heat gain is 54.24 k W h/m2 a.Compared with the initial model envelope structure scheme for the ultra-low energy grassland dwellings in western Inner Mongolia,the scheme selected after multi-objective optimization under the conditions has the advantage of saving more energy,using renewable energy more efficiently and saving more economic costs.In summary,through the multi-objective optimization of the construction of ultra-low energy grassland dwellings enclosure structure,it provides a reference for the implementation of ultra-low energy grassland dwellings enclosure structure in the severe cold region of Inner Mongolia,and judges the promotion value of the ultra-low energy grassland dwellings model.And the positive benefits brought by the economy,environment,society,and humanities.