Study On The Optimization And Application Of Period Of Record Of Typical Meteorological Year For Building Energy Consumption Simulation

Building energy efficiency is receiving more and more attention.How to reduce building energy consumption is a practical problem that needs to be solved urgently.It is a widely used and effective technical method to simulate building energy consumption in the early stage of building design.At present,the rapid global climate change leads to the lack of representativity of Typical Meteorological Year?TMY?,which used to select meteorological data over 30 years.How to optimize the Period of Record?POR?of TMY for building energy consumption simulation based on the law of climate change,and analyze its impact on building energy consumption simulation.Improving the accuracy of building energy consumption simulation is an important research content of this thesis.The thesis mainly completed the following four aspects of work:?1?A study of the static POR of TMY was conducted,and the effect of shortening the POR on the selection of TMY was initially analyzed,and the minimum POR of the original data required for selecting TMY was determined.A typical city was selected from each of the 11 second-level zonings in five building thermal design zones.By comparing the difference of TMY results selected between the shortened POR?3 to 15 years?and the long period of 30 years,the change of TMY data was studied.It also models four typical buildings of each typical city in five building thermal design zones:high-rise office buildings,shopping mall buildings,hotel buildings,and high-rise residential buildings,and the influence of TMY selected after shortening the POR on building energy consumption is analyzed.The results show that for the two meteorological parameters,dry bulb temperature and solar radiation,which have the greatest impact on building energy consumption,the POR of TMY can be appropriately shortened.And the more recent data of 30 years should be selected after calculation.In order to reduce the average fluctuation range of standard deviation of solar radiation R^_<sub><sub>S_R<sub></sup>to within 1 MJ/m2,and the average fluctuation range of standard deviation of temperature R_<sub><sub></sup>S_T<sub></sup>to within 1°C,at least 8 years data should be used.Depending on the location and climate of the city,there may still be large fluctuations in the standard deviation of temperature and solar radiation in some cities.?2?The analysis of abrupt climate change in the study of dynamic POR of TMY,and established a new method to determine the POR of TMY——Period of Record based on Analysis of Abrupt Climate Change?A-POR?method,which is a simpler and more intuitive method for areas with meteorological data less than 30 years old.Taking Harbin,a typical city in the severe cold region,as an example,the long-term climate change trends and abrupt conditions are analyzed by using the linear tendency estimation least squares method,accumulative anomaly method,Mann-Kendall method,and sliding t-test method.The A-POR is 9 years in Harbin,and it is found that significant climate changes have occurred in Harbin in the past 48 years.The POR of 30 years may no longer be applicable to Harbin.?3?For regions with long-term recorded meteorological data,a method for determining the Most Appropriate Period of Record?M-POR?in the study of TMY dynamic POR is proposed.The standard deviation method and the Optimal Climate Normal?OCN?model are used to determine the minimum POR of TMY and the range of the optimal average of each meteorological index,and M-POR is determined by comparing them.Taking Harbin as an example for analysis,the most appropriate POR for Harbin to select TMY is 18 years.?4?The TMY dynamic POR determination method was verified for typical cities in five building thermal design zones to determine the applicability of the two methods proposed in this study,A-POR and M-POR,in other different climatic zones.At the same time,the adaptability of M-POR,10 years,30 years,and A-POR to the current climate and future climate was verified.The results show that under the conditions of climate change,the empirical 10-year and 30-year POR commonly used in the current standard is no longer applicable.Among the four kinds of POR,M-POR has the best adaptability to current and future climates.In different climatic regions,different shorter PORs should be used to more accurately reflect the local representative climate conditions.Based on the actual situation of China's meteorological data,this paper proposes a method for determining the POR for selecting TMY under climate change in response to the needs of building energy consumption simulation and building design in China.By improving the accuracy of TMY selection results,it provides architects with a scientific basis for accurate building energy consumption assessment.This research can provide new ideas for improving the accuracy of TMY results under climate change,and provide reliable research support for the sustainable development of low-energy regional buildings in China,reducing CO₂ emissions from buildings,and low-energy optimization technologies that adapt to climate warming.</sup>