哈尔滨地区辐照度推算及NASA数据适用性分析
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摘要
针对哈尔滨地区太阳能瞬时直射辐射强度观测站少且长时间累计数据不足的问题,阐述了瞬时直射辐射强度推算原理,以NASA SSE 6.0数据库中22年地球表面气象和太阳能数据为基础,推算了哈尔滨地区以时间节点为因变量的太阳能日、月、年内瞬时直射辐射强度分布,得到了NASA数据库中该地区月辐射总量或月平均日辐射总量的偏差修正系数和非线性修正函数。计算结果表明,哈尔滨地区太阳能月辐射总量或月平均日辐射总量推算数据与部分统计测量数据变化规律相同,平均正向偏差为15.02%。NASA数据经修正后,可在太阳能发电或光煤混合发电初设和功率预测中参考应用。
Aiming at the problems of few observation stations for solar instantaneous direct radiation and insufficiency of long-time accumulated data in Harbin, the principle of estimating the instantaneous direct radiation intensity of solar energy is expounded.Based on the meteorological and solar data of the earth's surface in NASA SSE 6.0 database for 22 years, the instantaneous direct radiation intensity distribution of solar energy in Harbin region during the day, month and year with time node as the dependent variable is calculated. The deviation correction coefficient and nonlinear correction function of total monthly radiation or monthly average daily radiation of the region in NASA SSE 6.0 database are obtained.The calculation results show that the estimated solar data of total monthly radiation or monthly average daily radiation has the same variation rule with those of some statistical measurement data in Harbin, with an average positive deviation is 15.02%.The revised NASA data can be used for reference in the initial design and power prediction of solar photovoltaic or solar hybrid coal-fired generation systems.
Aiming at the problems of few observation stations for solar instantaneous direct radiation and insufficiency of long-time accumulated data in Harbin, the principle of estimating the instantaneous direct radiation intensity of solar energy is expounded.Based on the meteorological and solar data of the earth's surface in NASA SSE 6.0 database for 22 years, the instantaneous direct radiation intensity distribution of solar energy in Harbin region during the day, month and year with time node as the dependent variable is calculated. The deviation correction coefficient and nonlinear correction function of total monthly radiation or monthly average daily radiation of the region in NASA SSE 6.0 database are obtained.The calculation results show that the estimated solar data of total monthly radiation or monthly average daily radiation has the same variation rule with those of some statistical measurement data in Harbin, with an average positive deviation is 15.02%.The revised NASA data can be used for reference in the initial design and power prediction of solar photovoltaic or solar hybrid coal-fired generation systems.
引文
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[3] 鞠晓慧,屠其璞,李庆祥.我国太阳总辐射气候学计算法的再讨论[J].南京气象学院学报,2005,27(8):516-521.JU Xiaohui,TU Qipu,LI Qingxiang.Re-discussion on the climatological calculating method of total solar radiation in China[J].Journal of Nanjing Institute of Meteorology,2005,27(8):516-521.
[4] 刘赫男,张洪玲,朱红蕊.1961-2010年黑龙江省太阳能资源特征分析与评估[J].气象与环境学报,2013,29(4):89-93.LIU Henan,ZHANG Hongling,ZHU Hongrui.Analysis and assessment of solar energy resource in Heilongjiang provincefrom 1961 to 2010[J].Journal of Meteorology and Environment,2013,29(4):89-93.
[5] 龚强,徐红,蔺娜,等.辽宁省太阳能资源评估及NASA数据适用性分析[J].中国电力,2018,51(2):105-111.GONG Qiang,XU Hong,LIN Na,et al.Solar radiation resources estimation and reliability analyzing of NASA data inLiaoning province[J].Electric Power,2018,51(2):105-111.
[6] 祝昌汉.我国直接辐射的计算方法及分布特征[J].太阳能学报,1985,6(1):1-11.ZHU Changhan.The calculation method of direct solar radiation and its distribution in China[J].Acta Energiae Solaris Sinica,1985,6(1):1-11.
[7] 申彦波.近20年卫星遥感资料在我国太阳能资源评估中的应用综述[J].气象,2010,36(9):111-115.SHEN Yanbo.Review of application of satellite remote sensing data to solar energy resources assessment in China in recent 20 years[J].Meteorological Monthly,2010,36(9):111-115.
[8] 袁淑杰,谷小平,缪启龙,等.基于GIS的起伏地形下天文辐射分布式模型——以贵州高原为例[J].山地学报,2007,25(5):577-583.YUAN Shujie,GU Xiaoping ,MIAO Qilong,et al.Distributed models of astronomical solar radiation over rugged terrains based on GIS—taking Guizhou plateau as an illustration[J].Journal of Mountain Science,2007,25(5):577-583.
[9] 王娟敏,孙娴,姜创业,等.基于ArcEngine太阳能资源评估业务系统的研制及应用[J].资源科学,2010,32(11):2246-2252.WANG Juanmin,SUN Xian,JIANG Chuangye,et al.Development and application of the operational system for solar energy assessment based on arcengine technology[J].Resources Science,2010,32(11):2246-2252.
[10] 张鹤飞,俞金娣,赵承龙,等.太阳能热利用原理与计算机模拟[M].西安:西北工业大学出版社,2004.ZHANG Hefei,YU Jindi,ZHAO Chenglong,et al.Solar thermal utilization principle and computer simulation[M].Xi′an:Northwest Industrial University Press,2004.
[11] 周传瑞,欧娜音,刘长成,等.哈尔滨市太阳能资源分析与评估[J].黑龙江气象,2013,13(4):32-33.ZHOU Chuanrui,OU Nayin,LIU Changcheng,et al.Analysis and evaluation of solar energy resources in Harbin[J].Heilongjiang Meteorology,2013,13(4):32-33.