Study On The Method Of Climate Zoning For Building Energy Efficiency

Climate refers to the sum of weather characteristics over a period of a region,and it has significant impacts on buildings.Design with climate is a basic approach to achieving building energy efficiency.With the rapid development of social-economy of China,building energy efficiency has become a key issue to achieving sustainable development.With respect to the development of HVAC and passive building design technologies,the relationship between building energy-saving design and climate should be recognized from a more comprehensive point.The object of this thesis is to develop an adequate climate classification for the application of several technical measures relates to building energy efficiency.This research focused on the five aspects,including the principle of climate classification,the statistics of climate variables,the selection of zoning indicators,the development of zoning criteria and zoning results.According to the research purpose and application object,the climate classification for building energy efficiency should observe the following principles,including practicability,the combination of comprehensive factors and dominant factors,clear and concise.Based on the relationship between climate and several technical measures related to building energy efficiency,it was found that temperature,humidity and solar radiation were the key factors affecting the application of these technical measures.Total 19 climate variables were selected as the variables related to building energy efficiency.Mean deviation is used as an evaluation index to assess the feasible of current climate zoning method in standards.It was indicated that the current climate zoning method could not classify climate features in humidity and solar radiation.To deal with these problems,many researches were conducted.The sliding t-test was used to determine the appropriate statistical duration of climate variables.The statistical duration of climate variables from 2004 to 2013 was found to be able to reflect the current climate state.According to the quantify analysis based on the Pearson's Correlation Coefficient,Coefficient of Variation and Partial Correlation Coefficient,total 6 zoning indicators were selected as zoning indicators.Inverse Distance Weight Method and Ordinary Kriging Method were demonstrated to be more suitable for the spatial interpolation of zoning indicators according to the crossvalidation analysis result.The climate characteristic of Qinghai-Tibet Plateau has significant difference with other regions of China.The north of Yunnan province,the midwest of Sichuan province and the north of Beijing were climate transition regions.In the study of climate zoning method,the combination of hierarchical division method and clustering algorithm was found to be suitable for this research.According to the standard deviation analysis results,the average linkage method of clustering algorithm is suitable for this research.A new determining clustering weight method was developed to assure the cluster result more appropriate to reflect the relationship between buildings and climate.The zoning criteria for first and second class were established based on the cluster analysis results.The spatial superposition technology of GIS was applied to determine zoning boundaries.China was classified into 33 climate zones with 2 special cities.The design strategies for each climate zone was analyzed and presented.For the cities without climate data,a new reference method is developed based on multiple linear regression to determine the cities' reference cities.Based on this new method,the climate belongings of 54 towns which don't have climate data are identified.