Research On Prediction And Simulation For Consumption Of A Typical Office Building In Hot Summer And Cold Winter Area

Public buildings as the major component of our architectures, these energy consumption is more than ten times of residential buildings. However, the construction area of office building, which as the main part of the public buildings, is increased rapidly with the rapid development of urban construction in recent years, also indicates the rapid development of China’s economic level. In this paper, a typical office building energy consumption in hot summer and cold winter area was studied, and the energy consumption prediction models of typical office building were derived in this area. Some references for the energy analysis and energy saving design of typical office building were provided.Firstly, based on referencing and researching on the relevant building energy design specifications and references, a typical office building model in hot summer and cold winter was established. And the energy consumption of the typical office building model was simulated by EQUEST software. Then the reasonableness of the typical office building model was analyzed.Secondly, the univariate sensitivity method is used to calculate the sensitivity of each factor for the air conditioning system energy consumption based on the typical office building model. The results showed that the descending order of affecting factors of office building energy consumption were air conditioning system modes, occupancy, complex shading coefficient, whether the air condition water system is changeable frequency, relative humidity, unit power consumption of fan, the average window wall ratio, outside air per person, pump efficiency, cooling COP, summer indoor designing temperature, heat recovery efficiency winter indoor designing temperature, office equipment power density, boiler efficiency, lighting power density, the wall heat transfer coefficient, the window heat transfer coefficient, the roof heat transfer coefficient, the absorption coefficient of the solar radiation, building azimuth, the ground heat transfer coefficient.Again, according to the energy affecting factors, an orthogonal experiment scheme consisting of 4 levels and 20 factors was designed. A series of reasonable simulation data was obtained with the least number of experiments. According to the orthogonal experiment scheme,64 simulations were carried out for office buildings which using variable air volume system, constant air volume system, fan coil with DOAS. The original experiment data for multivariate nonlinear regression analysis was obtained.Finally, based on a large number of energy simulation data, a multivariate nonlinear regression analysis with variable air volume systems, constant air volume systems, fan coil with DOAS was taken respectively by SPSS statistical software. Rationality and correctness of each regression models were analyzed. And in order to test the reliability of the regression prediction model, an office building in Shangha was taken as a measured object.This study focuses on consideration 20 design parameters of building energy consumption. According to the orthogonal experiment scheme, a series of reasonable simulation data is obtained by using EQUEST energy simulation software. And multivariate nonlinear regression analysis based on simulation data is taken by using SPSS statistical software, three of energy prediction models of typical office building for the hot summer and cold winter area are obtained. And these models can be accurately predicted energy consumption of typical office building which using variable air volume system, constant air volume system, fan coil with DOAS. Just inputing the relevant building envelope and air conditioning system design parameters, the energy consumption of typical office building can be calculated quickly and easily. A convenient method of calculating the energy consumption and energy saving design of typical office building is provided for building designers.