Jurnal Natural
Volume 23 Number 1, February 2023

Empirical model for the estimation of global solar radiation in the Aceh Besar Regency, Aceh

MUHAMMAD IRFAN ISLAMI (1.Program Studi Magister Fisika, Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Aceh, Indonesia 2.Aceh Climatological Station, Indonesian Agency for Meteorology, Climatology, and Geophysics)
NAZLI ISMAIL (Program Studi Magister Fisika, Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Aceh, Indonesia)
ISMAIL ISMAIL (Program Studi Magister Fisika, Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Aceh, Indonesia)
DEA RIMASILANA (Aceh Climatological Station, Indonesian Agency for Meteorology, Climatology, and Geophysics)



Article Info

Publish Date
12 Mar 2023

Abstract

Solar energy plays an important role in the temperature distribution on the Earth's surface and essential energy that sustains life for human. In the calculation of solar energy, the limitation of solar radiation data is a major obstacle. Solar radiation data is very limited at some observation stations due to the costly procurement of measuring instruments and complicated techniques. Estimation of global solar radiation using empirical models is one way to overcome the limitations of global solar radiation data at various locations. This study built the Angstrom-Prescott model to estimate global solar radiation based on the sunshine duration’s parameter in Aceh Besar Regency. Two years (2019-2020) global solar radiation and sunshine duration data from Aceh Climatological Station were used to estimate global solar radiation in 2021. Data for 2021 was using to evaluated the equation H/H0=0.28+0.22 (n/N), the results showed good model accuracy with an RMSE value of 0.052 and a MAPE of 11% (good forecasting). The model equation has been reliable to calculate solar radiation in four locations in Aceh Besar Regency.

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Journal Info

Abbrev

natural

Publisher

Subject

Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Energy Immunology & microbiology Neuroscience Physics

Description

Jurnal Natural (JN) aims to publish original research results and reviews on sciences and mathematics. Jurnal Natural (JN) encompasses a broad range of research topics in chemistry, pharmacy, biology, physics, mathematics, statistics, informatic and ...