Determination of Angstorm Coefficients with curve fitting method by using Matlab Program

Year 2022, , 45 - 50, 23.09.2022

Ayşe Gül Kaplan , Alper Kaplan

https://doi.org/10.54569/aair.1139183

Abstract

For the sustainable development of nations and to lessen the negative environmental effects of fossil fuels, more clean and renewable energy sources are now required. One of the most significant energy sources is solar energy. To utilize solar energy more efficiently in a particular area, it is crucial to be aware of the solar radiation levels. Furthermore, it's critical to accurately calculate solar energy for study into climate change, one of the biggest global challenges. Systems that utilize solar energy are frequently used nowadays to address the rising global need for energy. The high geographical and temporal resolution, global, diffuse, and direct sunlight data needed for the design and effective operation of solar power plants are now provided by satellite-based solar radiation predictions. In this work, satellite-based forecasting models were used to estimate diffuse solar radiation for the chosen region. In this study, the solar radiation irradiance values of the chosen region were estimated using the curve fitting approach. Angstorm coefficients were determined using the Matlab program for this investigation. Various statistical error analysis tests were used to evaluate how well the constructed model performed. The findings collected unequivocally demonstrate that the provided prediction models perform well.

Keywords

solar energy, solar radiation, solar radiation models, statistical indicators

References

• Kaplan YA. “Overview of wind energy in the world and assesment of current wind energy policies in Turkey”, Renewable and Sustainable Energy Reviews 43 (2015) 562-568; doi: 10.1016/j.rser.2014.11.027.
• Ozturk M, Bezir NC, Ozek N. “Hydropower–water and renewable energy in Turkey: sources and policy”, Renewable and Sustainable Energy Reviews 13(3) (2009) 605-615 doi: 10.1016/j.rser.2007.11.008.
• Togrul INT, Onat E. “A comparison of estimated and measured values of solar radiation in Elazig, Turkey”, Renewable energy 20(2) (2000) 243-252 doi: 10.1016/S0960-1481(99)00099-3.
• Jin, Z, Yezheng W, Gang Y. “General formula for estimation of monthly average daily global solar radiation in China”, Energy Conversion and Management 46(2) (2005) 257-268 doi: 10.1016/j.enconman.2004.02.020.
• Menges, HO, Ertekin C, Sonmete MH. “Evaluation of global solar radiation models for Konya, Turkey”, Energy Conversion and Management 47(18) (2006) 3149-3173 doi: 10.1016/j.enconman.2006.02.015.
• Sandra LA. “PHB Practical Handbook of Curve Fitting”, CRC Press, 1994.
• Duffie JA, Beckman WA. “Solar Radiation. Solar Engineering of Thermal Processes”, (4nd Ed.), Wiley Hoboken, NJ, USA, 2013.
• Aras H, Balli O, Hepbasli A. “Global solar radiation potential, Part 2: Statistical analysis”, Energy Sources Part B-Economics Planning and Policy 1(3) (2006) 317-326 doi: 10.1080/15567240500400606.
• Ulgen K, Hepbasli A. “Solar radiation models. Part 2: Comparison and developing new models”, Energy Sources 26(5) (2004) 521-530 doi: 10.1080/00908310490429704.
• Skeiker K. “Correlation of global solar radiation with common geographical and meteorological parameters for Damascus province, Syria”, Energy conversion and management 47(4) (2006) 331-345 doi: 10.1016/j.enconman.2005.04.012.
• Oztürk M, Ozek N, Berkama B. “Comparison of some existing models for estimating monthly average daily global solar radiation for Isparta”, Pamukkale University Journal of Engineering Sciences 18(1) (2012) 13-27
• Khorasanizadeh H, Mohammadi K, Mostafaeipour A. “Establishing a diffuse solar radiation model for determining the optimum tilt angle of solar surfaces in Tabass, Iran”, Energy Conversion and Management 78 (2014) 805-814 doi: 10.1016/j.enconman.2013.11.048.
• Sabzpooshani M, Mohammadi K. “Establishing new empirical models for predicting monthly mean horizontal diffuse solar radiation in city of Isfahan, Iran”, Energy 69 (2014) 571-577 doi: 10.1016/j.energy.2014.03.051.