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Geospatial Modelling of Solar Radiation Climate

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Geospatial Optimization of Solar Energy

Part of the book series: SpringerBriefs in Energy ((BRIEFSENERGY))

Abstract

Proper land planning and management in terms of agro-suitability of crops and adequate placement of solar photovoltaic and thermal technologies require a knowledge of how the solar insolation parameter varies on spatial and temporal scales. In this chapter, we explore methodologies including satellite remote sensing, Numerical Weather Prediction (NWP) model, and regression analysis that could enable countries to map the spatio-temporal variations in solar radiation. These techniques would offer researchers a route to the proper mapping of the solar resource potential for effective policy decision making.

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Authors and Affiliations

  1. Faculty of Sustainable Development & Engineering, Department of Emerging Technologies, Université des Mascareignes, Rose Hill, Mauritius

    Jay Doorga

  2. Faculty of Science, Department of Physics, University of Mauritius, Reduit, Mauritius

    Soonil Rughooputh

  3. Faculty of Science, Department of Mathematics, University of Mauritius, Reduit, Mauritius

    Ravindra Boojhawon

Authors
  1. Jay Doorga
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  2. Soonil Rughooputh
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  3. Ravindra Boojhawon
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Corresponding author

Correspondence to Jay Doorga .

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Doorga, J., Rughooputh, S., Boojhawon, R. (2022). Geospatial Modelling of Solar Radiation Climate. In: Geospatial Optimization of Solar Energy. SpringerBriefs in Energy. Springer, Cham. https://doi.org/10.1007/978-3-030-95213-6_3

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  • DOI: https://doi.org/10.1007/978-3-030-95213-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-95212-9

  • Online ISBN: 978-3-030-95213-6

  • eBook Packages: EnergyEnergy (R0)

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