• Evaluation of optimum PV tilt angle with generated and predicted solar electric data using geospatial open source software in cloud environment

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    • Keywords


      Optimum tilt angle; Generated-predicted PV data; Cloud computing; Tilted GHI; Perl; R2 test.

    • Abstract


      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 thepast 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 implementedusing 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 helpedin providing further expansion plan. The R.2 value between the predicted solar potential and actual generation for this study is 0.82.

    • Author Affiliations



      1. Geomatics Engineering Group, CED, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
    • Dates

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