首页> 外文会议>IEEE International Conference on Industry Applications >Comparative Analysis of Transposition Models Applied to Photovoltaic Systems Using Meteonorm and NASA SSE Databases
【24h】

Comparative Analysis of Transposition Models Applied to Photovoltaic Systems Using Meteonorm and NASA SSE Databases

机译:使用Meteonorm和NASA SSE数据库的光伏系统换位模型的比较分析

获取原文

摘要

Global environment concerns and increasing energy demand are expanding interests in renewable energy sources such as photovoltaic systems. An optimized application of these systems requires the use of accurate climatic and irradiation data. Most of the available data sources provide irradiation values only on the horizontal plane. These data must be converted to a tilted plane in order to estimate a more accurate value of the energy produced. To process that conversion there are many mathematical models available in the literature, such as Perez's model and Hay's model. The impact of these methods on the energy generated is compared in this study, also the accuracy of the Meteonorm 7.1 and NASA SSE databases is investigated for the location of the Tanquinho Power Plant in Campinas, Brazil. As a result of the analysis, the Meteonorm database presented more accurate solarimetric data for the considered location. Also, the Perez's method had an absolute error of 9.97% while Hay's method showed an error of 10.11%. As a conclusion, the NASA database is indicated to be used to estimate the energy generated by photovoltaic systems installed in the studied area. Additionally, to obtain a more accurate irradiation data on the tilted plane, the Perez's method is more precise.
机译:对全球环境的关注和不断增长的能源需求正在扩大人们对光伏系统等可再生能源的兴趣。这些系统的优化应用需要使用准确的气候和辐照数据。大多数可用的数据源仅在水平面上提供辐照值。必须将这些数据转换为倾斜平面,以便估算所产生能量的更准确值。为了处理这种转换,文献中提供了许多数学模型,例如Perez模型和Hay模型。在本研究中比较了这些方法对产生的能量的影响,还研究了Meteonorm 7.1和NASA SSE数据库的准确性,以研究巴西坎皮纳斯的Tanquinho电厂的位置。分析的结果是,Meteonorm数据库为所考虑的位置提供了更准确的日光数据。另外,Perez方法的绝对误差为9.97%,而Hay方法的误差为10.11%。结论是,表明NASA数据库可用于估算安装在研究区域内的光伏系统产生的能量。另外,为了在倾斜平面上获得更准确的辐照数据,Perez方法更加精确。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号