【摘要】 利用四川省气象站常规观测数据,1:25万数字高程(DEM)数据,考虑坡度、坡向等地形因子建立气候经验统计模型和分布式模型,分别计算未考虑地形因子和起伏地形下的四川省太阳总辐射时空分布情况并进行分析。结果表明:两种模拟结果在四川省总辐射分布上趋势大致相同;分布式模拟结果所得总辐射结果范围更大,总辐射结果范围为1800~7200MJ/m2,而气候经验统计模型结果仅为3100~6280MJ/m2;经部分站点2012年总辐射实测值检验,结合地形因子采用分布式模拟的方法比单纯使用经验系数和气象参数模拟的气候学方法误差均值小0.39%。考虑了复杂地区的分布式模拟结果,比气候学拟合方法结果更为细致,更有利于查看局地结果,这对实际应用中太阳能资源的开发、电厂规模的选址和布设、电机型号的安装更能提供参考价值。四川省北部阿坝州、西部甘孜州和南部凉山州及攀西地区太阳能资源较为丰富,利于进行太阳能资源开发,交通不便地区可通过安装小型分布式发电设施,合理利用太阳能资源。更多还原

【Abstract】 The distributed model based on 1: 250000 DEM date and metorological data for calculating solar total radiation( STR) over rugged terrains in Sichuan Province witch considered slope and aspect and the climate empirical statistical model( CESM) only based on metorological data. The result shows that: the two simulated result of the distribution of total radiation in Sichuan is similar,the range of STR result is larger than CESM,the total radiation result of STR is 7200 ~ 1800 MJ/m2,the result of CESM is 3100 ~ 6280 MJ/m2. According to the test by the observed data in 2012,the error of SRT is 0. 39% witch less than the CESM,the result of STR is more detailed and more conducive to view the local results than CESM. The result shows that SRT is more practical for application on solar energy resources development,power plant site selection,the installation of motor models and can provide more reference value. The solar resource in northern part in Aba,western part in Ganzi,northern part in Liangshan and Panzhihua area is more abundant,conducive to development,the small distributed generator can be applicated for the solar development in traffic inconvenience area.更多还原