EFFECTS OF DIFFERENT RECORD PERIODS ON SELECTION RESULTS OF TYPICAL METEOROLOGICAL YEARS
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摘要: 为建立我国建筑节能用基础气象数据库,针对我国气象数据实际记录状况,需分析不同统计时长对典型气象年挑选结果的影响。分别在5个建筑热工设计分区的11个二级区划中各选取一个典型城市,采用美国Sandia国家实验室法,对比缩短后的统计时长(3~15 a)和长期30 a挑选出的不同典型年结果的差异。结果表明:为了控制辐射标准差的平均波动幅度在1 MJ/m2以内,同时温度标准差的平均波动幅度也在1℃以内,最少要用8 a统计时长的数据,但根据城市位置和气候的不同,仍然会有部分城市的温度或辐射标准差的波动幅度较大。Abstract: In order to establish a basic meteorological database for energy saving of buildings in China, it is necessary to analyze the effect of different record periods on selection results of typical meteorological years. In this paper, 11 typical cities were selected which represended mateorolgical states of the 11 sub divisions of the five building thermal design divisions. The Sandia National Laboratory method was used to compare the differences of shortened record periods (3 to 15 years) with the long-term records of 30 years in typical meteorological years. The results showed that to meet the needs of the average fluctuation range of standard deviation for solar radiation within 1 MJ/m2 and the average fluctuation range of standard deviation of temperature within 1 ℃, it was necessary to use data at least for 8 years. However, depending on the location of the city and climate, there would still be large fluctuations in standard deviations of temperatures or solar radiation in some cities
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中国建筑能耗研究报告(2017年)[EB/OL].[2017-12-05].https://www.sohu.com/a/208615242_99960447. 李红莲. 建筑能耗模拟用典型气象年研究[D]. 西安:西安建筑科技大学, 2016. HALL I J. Generation of Typical Meteorological Years for 26 SOL2MET Stations[C]//Proceedings of the 1978 Annual Meeting of the American Section of the International Solar Energy Society. Denver:1978:669-671. MARION W, URBAN K. User's Manual for TMY2s:Typical Meteorological Years[R]. National Renewable Energy Laboratory, 1995. ANDERSEN B, EIDORFF S, LUND H, P, et al. Meteorological Data for Design of Building and Installation[R]. Denmark:Thermal Insulation Laboratory,1977. 中国气象局气象信息中心气象资料室, 清华大学建筑技术科学系. 中国建筑热环境分析专用气象数据集[M]. 北京:中国建筑工业出版社, 2005. ARGIRIOU A, LYKOUDIS S, KONTOYIANNIDIS S, et al. Comparison of Methodologies for TMY Generation Using 20 Years Data for Athens, Greece[J]. Solar Energy, 1999, 66(1):33-45. KALOGIROU S A. Generation of Typical Meteorological Year(TMY-2) for Nicosia, Cyprus[J].Renewable Energy, 2003, 28(15):2317-2334. SKEIKER K. Generation of a Typical Meteorological Year for Damascus Zone Using the Filkenstein-Schafer Statistical Method[J]. Energy Conversion and Management, 2004, 45(1):99-112. EBRAHIMPOUR A, MAEREFAT M. A Method for Generation of Typical Meteorological Year[J]. Energy Conversion and Management, 2010, 51(3):410-417. 杨洪兴, 吕琳, 娄承芝, 等. 典型气象年和典型代表年的选择及其对建筑能耗的影响[J]. 暖通空调, 2005, 35(1):130-133. 张晴原, HUANG J. 中国建筑用标准气象数据手册[M]. 北京:中国建筑工业出版社, 2012. ZANG H X, XU Q S, BIAN H H. Generation of Typical Solar Radiation Data for Different Climates of China[J]. Energy, 2012, 38(1):236-248. 中华人民共和国住房和城乡建设部. 建筑节能气象参数标准:JCJ/T 346-2014[S].北京:中国建筑工业出版社, 2014. 杨柳, 李昌华, 刘加平. 典型气象年生成方法及原始气象数据质量分析[J]. 气象科技, 2006, 34(5):596-599.
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