长江流域资源与环境 >> 2010, Vol. 19 >> Issue (11): 1242-.

• 自然资源 • 上一篇    下一篇

屋顶可用太阳能资源评估研究——以2000年江苏省数据为例

刘光旭,吴文祥,张绪教,周杨   

  1. (1. 中国科学院地理科学与资源研究所|北京 100101;2.中国地质大学地球科学与资源学院|北京 100083)〖
  • 出版日期:2010-11-20

STUDY FOR EVALUATING ROOFMOUNTED AVAILABLE SOLAR ENERGY RESOURCE——CASE IN JIANGSU PROVINCE ACCORDING TO ITS 2000 DATA

LIU Guangxu1, WU Wenxiang1, ZHANG Xujiao2, ZHOU Yang1   

  1. (1.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China|2. School of Earth Sciences and Resources| China University of Geosciences, Beijing 100083, China)〖
  • Online:2010-11-20

摘要:

传统的太阳能资源评估方法是直接评估太阳能的理论储量,极少考虑太阳能使用的具体情景。基于防范传统能源使用风险的需要,根据长期观测得到的太阳辐射数据,结合太阳辐射的地理分布特征和利用太阳能的具体情形,选用技术比较成熟且易于并网使用的屋顶光伏系统作为评价依据,借助于GIS的空间分析功能,把太阳能的自然属性和社会属性结合起来,〖JP2〗建立了屋顶可用太阳能资源评估方法模型,并以江苏省为例对当地可用的太阳能资源进行了评估验证。通过分析发现,与单纯的评估太阳能理论储量相比,用屋顶可用太阳能资源评估方法得出的结果真实可信,更加符合太阳能使用的实际情形,可以直接为当地防范传统能源风险及制定能源发展规划所用

Abstract:

Solar energy resource is traditionally evaluated directly to get its theoretical reserves from solar radiation data,with little regards for its specific use scenarios.Aimed at the need of managing traditional energy using risk in this study,based on the longterm observation data of the sun and combined with the geographical distribution of solar radiation and the use of solar energy situation,a model for evaluating roofmounted available solar energy resource was built by choosing the suitable roofmounted PV system which is a betterdeveloped technique and easily connected to the grid as the evaluating basis.This model connected solar natural attributes to its social ones by means of GIS spatial analysis function.Then local available solar energy resource in Jiangsu Province was evaluated with the model and the result was verified.Analysis showed that compared with the simple assessment of solar energy theoretical potential,the result of assessing the roofmounted available solar energy resources with this model was more reliable according to the actual situation of using solar energy,and could be directly used in managing traditional energy risk and making energy development plans.〖

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