Research On The Heating Energy Performance Characteristics Analysis And Evaluation Model Construction Of Residential Buildings In Severe Cold Regions

Scientifically describe building energy consumption characteristics and evaluate their energy performance based on the operational energy use data help to determine whether the energy saving work is satisfying or not.Also,the optimization and adjustment for the energy conservation strategies are established on this basis,which is of great significance to guide the energy saving work.Cutting down heating energy use has been the key point of the energy saving and emission reduction work for the residential buildings in the severe cold climate regions.However,whether the application effects are satisfying and new measures can be found based on the reasonable evaluation of actual energy performance still remains to be explored.Therefore,taking the residential buildings in Inner Mongolia as a case study,the way to reasonably evaluate and estimate the heating energy consumption characteristics,heating energy performance evaluation and energy use demand analysis are studied in this paper.Firstly,according to results acquired by the field tests,investigation and questionnaire surveys and grouping the tested buildings according to different places,building climate zones and designed energy efficiency conditions,the heating energy performance,characteristics and distribution patterns of different buildings groups were analyzed separately by statistical methods.Then the heating effect,household satisfaction and occupant behavioral habits were further analyzed.The results show that the heating energy performance of the grouped residential buildings varied greatly,and the heating energy consumption of the most buildings were considerable.Moreover,the behaviors of the residents were obviously not conducive to energy conservation.Therefore,there is still great energy saving potential of the residential buildings in this area.Secondly,the correlated relationship of the heating energy consumption and different characteristic parameters,which were selected from four aspects,namely,meteorological parameters,building basic information,the heating system and its operation and adjustment profile,and the heating effect,were analyzed by Wilcoxon Sign Rank Test and correlation analysis at different heating stages.In addition to outdoor meteorological parameters,the main factors affecting heating energy consumption at each stage were identified,which helps to provide useful suggestions for the energy conservation work in the future.Thirdly,aiming at reducing the heating energy consumption of residential buildings,the K-means clustering analysis and Bayesian discriminant analysis were combined to explore the way to classify buildings,as well as to evaluate building energy performance according to the energy use status and influential factors.Then the energy benchmarking model was built accordingly,which was further applied to multi-story and high-rise buildings.The reliability of the model was then validated.What’s more,how to apply this model in the formulation of heating energy allocation method was also discussed.Finally,in the case of the energy use data and building information is limited,combined with the different needs of regional energy planning,the Lorenz curve method was applied to assist to establish the framework of analyzing regional heating energy demand,which was based on the distribution rules of building energy consumption.Then it was applied to multi-story and high-rise buildings,separately,and the quantitative relationship between the heating energy demand of various buildings and the planning area was established.On this basis,the significance of applying this method in regional energy planning was analyzed,and the specific application steps were further clarified.