In this article, a novel approach to find out optimum tilt angle using generated and predicted solar data is presented. Here the generated electricity outputs data of the photovoltaics (PVs), installed on the building rooftops at the Indian Institute of Technology (IIT) Roorkee, India, have been obtained from the Institute for the past four years (2015–18). Simultaneously, the solar PV output data have been predicted using open source software application, geographic information system (GIS), Perl, global horizontal irradiance (GHI), remote sensing, and cloud computing. The satellite-derived GHI has been obtained from the database developed by the National Renewable Energy Laboratory (NREL), United States, and local GHI using a pyranometer to validate the results. In the presented work, tilted GHI has been estimated using modified tilt angle algorithm implemented using Perl in a cloud environment. Further, the usable rooftop area has been digitized on high-resolution WorldView-3 image and calculated using QGIS. In this study, the validation of an optimum tilt angle has been performed by the comparison of the output from the installed solar plant to the predicted solar potential. The processing of optimum tilt angle obtained (19.86°) at IIT Roorkee has been performed using XenCenter server. This helped in processing the computation-intensive tilted GHI at various tilt angles. This approach also helped in providing further expansion plan. The R² value between the predicted solar potential and actual generation for this study is 0.82.

在本文中，提出了一种使用生成的和预测的太阳数据来找出最佳倾斜角的新颖方法。在此，过去四年（2015-18年）从研究所获得了安装在印度Roorkee印度技术学院（IIT）建筑屋顶上的光伏（PV）的发电输出数据。同时，已经使用开源软件应用程序，地理信息系统（GIS），Perl，全球水平辐照度（GHI），遥感和云计算来预测太阳能光伏输出数据。卫星衍生的GHI已从美国国家可再生能源实验室（NREL）开发的数据库中获得，而本地GHI则使用了日光计来验证结果。在介绍的作品中，倾斜的GHI已使用在云环境中使用Perl实施的改进的倾斜角算法进行了估算。此外，可用的屋顶区域已在高分辨率的WorldView-3图像上数字化，并使用QGIS进行了计算。在这项研究中，通过将已安装的太阳能发电厂的输出与预测的太阳能电势进行比较，对最佳倾斜角进行了验证。在IIT Roorkee处获得的最佳倾斜角（19.86°）的处理已使用XenCenter服务器执行。这有助于处理各种倾斜角度的计算密集型倾斜GHI。这种方法还有助于提供进一步的扩展计划。这 通过将已安装的太阳能发电厂的输出与预测的太阳能电势进行比较，可以对最佳倾斜角进行验证。在IIT Roorkee处获得的最佳倾斜角（19.86°）的处理已使用XenCenter服务器执行。这有助于处理各种倾斜角度的计算密集型倾斜GHI。这种方法还有助于提供进一步的扩展计划。这 通过将已安装的太阳能发电厂的输出与预测的太阳能电势进行比较，可以对最佳倾斜角进行验证。在IIT Roorkee处获得的最佳倾斜角（19.86°）的处理已使用XenCenter服务器执行。这有助于处理各种倾斜角度的计算密集型倾斜GHI。这种方法还有助于提供进一步的扩展计划。这这项研究的预测太阳势与实际发电量之间的R ²值为0.82。