Exploring Global Solar Radiation: Enhancing Ground-Level Solar Radiation Prediction using Hottel's Semi-Empirical Model and Sunshine Duration Analysis

Abstract

The effective utilization of solar energy at a specific geographical locale is contingent upon the acquisition and assimilation of comprehensive and meticulous solar radiation data pertinent to that specific site. A profound understanding of these datasets constitutes a pivotal factor in the precision-driven design and dimensioning of solar energy systems. It ensues that the attainment of accurate system dimensioning is contingent upon the continual availability of spatially and temporally resolved measurements. The principal objective of this research endeavor is to expound upon the methodological approach employed in the computation of solar energy parameters, alongside the delineation of the pertinent dataset by extrapolating salient insights. Prior to the initiation of any optimization endeavor, a methodical scrutiny of the geospatial and temporal distribution of solar insolation stands as a preeminent prerequisite, indispensably contributing to the efficacious implementation of solar infrastructure. The assessment of solar energy generation potential within the examined region necessitates a meticulous investigation of the theoretical solar resource inherent to Khouribga. Through a meticulous computation regimen encompassing insolation and solar irradiance metrics, this investigation facilitates the discernment of the optimal incident angle for maximal energy absorption by solar photovoltaic cells.