Hyper-temporal variability analysis of solar insolation with respect to local seasons

Abstract

The incoming solar radiation at any location results from the complex interactions of energy between the atmosphere and land or ocean surfaces. The available amount of solar insolation at the earth surface are spatially and temporally variable. These are varying predominantly at seasonal/daily basis which is caused by well-predictable astronomic factors (via solar altitude) and by changing atmospheric conditions (e.g. clouds, aerosols, water vapours and ozone). This variability also affects the predictability and manageability of all types of solar energy. The current study presents hyper-temporal variations analysis of solar insolation for Kalaburagi (erstwhile Gulbarga) district over the year 2004–2014 to understand the variability at a seasonal scope. The process was repeated on monthly bins of data (e.g. the eight Januaries, Februaries, etc.). The understanding of solar insolation requires a description of the temporal and spatial context to decipher a predictable, quantifiable variability at space-time continuum. The key aspects of the work introduces hyper-temporal (H-T) variability analysis of solar insolation with respect to local seasons. The accuracy of analysis at spatial or temporal solar insolation will enable us to add reliability (lower risk) and quality of the solar resources. Therefore, synergistic use of hyper-temporal data and advanced data analysis approaches will result in enhancing the potential of complex problem related to the application of solar resources for various purposes.