Estimation of Solar Radiation with Consideration of Terrestrial Losses at a Selected Location—A Review

Shubham Gupta, Amit Kumar Singh, Sachin Mishra, Pradeep Vishnuram, Nagaraju Dharavat, Narayanamoorthi Rajamanickam (), Ch. Naga Sai Kalyan, Kareem M. AboRas (), Naveen Kumar Sharma and Mohit Bajaj ()
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Shubham Gupta: Department of Instrumentation and Control Engineering, Dr. B R Ambedkar National Institute of Technology, Jalandhar 144008, India
Amit Kumar Singh: Department of Instrumentation and Control Engineering, Dr. B R Ambedkar National Institute of Technology, Jalandhar 144008, India
Sachin Mishra: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India
Pradeep Vishnuram: Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Nagaraju Dharavat: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India
Narayanamoorthi Rajamanickam: Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Ch. Naga Sai Kalyan: Electrical and Electronics Engineering, Vasireddy Venkatadri Institute of Technology, Guntur 522508, India
Kareem M. AboRas: Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria 5424041, Egypt
Naveen Kumar Sharma: Electrical Engineering Department, I. K. G. Punjab Technical University, Jalandhar 144603, India
Mohit Bajaj: Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, India

Sustainability, 2023, vol. 15, issue 13, 1-29

Abstract: The United Nations has set an ambitious goal to achieve net zero carbon emissions by 2050. This objective requires shifting towards green and renewable energy sources instead of conventional fossil fuels to address the global energy crisis without emitting greenhouse gases. While the energy radiated by the sun is one of the most abundant sources of energy available, its efficient and optimal use remains a significant challenge. To facilitate solar-energy-based applications, estimating the amount of solar energy available is crucial. Empirical and soft computing is the most-used method to estimate solar energy. This paper aims to analyze the existing techniques used in various models for estimating and predicting the quantity and quality of solar radiation using readily available data. Additionally, the study aims to identify the most appropriate techniques for developing prediction models using available explanatory variables. To fully harness the potential of solar energy, it is necessary to limit the terrestrial loss of solar radiation by minimizing the harmful effects of anthropogenic factors that reduce the quantity and quality of solar radiation in the area. This paper provides valuable insights to identify opportunities to maximize the potential of solar energy in different locations.

Keywords: solar radiation; empirical model; soft-computing approach; AQI; green energy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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