Research And Implementation Of Building Load Subarea Method

At present, the energy of everyday life almost comes from burning of fossil fuels. The fossil fuels are quickly consumed. It produced gas will pollute the environment. In the heating and the cooling period, we need a lot of energy to ensure our comfortably life. In the heating period, coal is burned and produced smog in the sky, hurts the physical and mental health of people. In order to people to have a comfortable living environment, it is very important and urgent for us to build the Green Building and put forward building energy efficiency design method.The paper selects meteorological data of 504 weather stations of representative our country climate characteristics. The data is the interval of 6h from 1984 to 2013, includes dry-bulb temperature, dew temperature, atmospheric pressure and solar radiation of each station. The paper uses the interpolation algorithm to get hourly meteorological data and calculates the average annual hourly meteorological data. Ordinary house as a building model, the paper uses the average annual hourly meteorological data to calculate the annual heating load and annual cooling load of 504 meteorological stations.The paper uses Gaussian mixture model and spectral clustering algorithm to cluster annual heating load and annual cooling load of 504 stations respectively. The results show that the annual heating load is divided into five regions and the annual cooling load is also divided into five regions. Analysis of location and terrain features, the results conform to our country climate characteristics. The results are visualized with GIS software, thus visually presents heating load for the whole year partition results and cooling load partition results throughout the year. Based on the above partition results, this paper gives energy efficient building design guidance to premise the local building comfortable living.