| With the rapid development of Energy Performance Contracting(EPC) in our country, and its application reaseach has attracted more and more attention in Existing Building Energy Saving. Affected by climate warming and extreme weather-prone, the impact of climate factors is gradually increasing on building energy consumption, especially has great influence to the correct evaluation of existing buildings energy-saving. The correct evaluation of energy saving is the premise of sharing energy-saving benefits, and also the requirement of the national "12th Five-Year" plan, it can influence the development of EPC whether it correctly evaluate.Therefore, it is necessary to study the influence of climatic factors on the energy savings and evaluation in EPC, in order to get a method to evaluate warm and cold weather over the years, and further quantitative evaluation of its impact on building energy section.Trends of main climate factors of Chongqing City in recent 15 years in all seasons were analyzed, and statistics the mean-temperature frequency and intensity of solar radiation frequency. It is found that the temperature of seasons showed a wavy change in recent 15 years, and the overall temperature showed an upward tendency except winter. The average temperature frequency mainly concentrated in the 22~31 ? during air conditioning period and in 7-13? during heating period. The solar radiation intensity mainly concentrated in the interval of 0~100W/m2? 200~300W/m2 and 100~200W/m2, and the difference of the annual hours of the radiation intensity than 500 W / m2 is significantly than these three radiation intensity interval.Using simulation software- eQUEST to establish a comprehensive building model of Chongqing city, imported the hourly meteorological data from 2000 to 2014 to this model, we can obtain the building energy consumption data under the outdoor climate change. On this basis, analyzes the relationship between the main climatic elements and per unit area energy consumption of heating/air conditioning system, found that it is has great fit between the temperature or solar radiation and per unit area energy consumption. Linear regression equations between monthly per unit area energy consumption and climatic factors were established during heating or air conditioning period, and equations have passed the significant test. At the same time, analysis the impact of various climatic factors on per unit area energy consumption using the SPSS software, found that the average monthly temperature has greatest impact on energy consumption in each month.The author puts forward the concept of energy consumption index, indicating its meaning, and determined the method to establish energy consumption index- the ratio analysis. Reference the generation method of "Typical Meteorological Year" to determine the meteorological factors selection and weights of "Baseline Year", on the basis, generated the desired "Baseline Year" by matlab software. Simulated the energy consumption from 2000 to 2015 and the "Baseline Year" during heating and air conditioning after the building model optimizated, establish the energy consumption index in accordance with the ratio analysis. In addition, verify the reliability and accuracy of the established energy consumption index by comparing the actual energy consumption index which was established by actual energy consumption data collected and simulation energy index, indicating that energy consumption index can be used to evaluate the impact of the cold and warm degree on the EPC energy saving.For better application in practice, the author use an existing building energy saving reconstruction project as a case to illustrate the specific application process and its attention of energy consumption index. |
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