Implicit meteorological parameter-based empirical models for estimating back temperature solar modules under varying tilt-angles in Lagos, Nigeria
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DOI: 10.1016/j.renene.2019.05.136
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Cited by:
- Kristina Kilikevičienė & Jonas Matijošius & Artūras Kilikevičius & Mindaugas Jurevičius & Vytautas Makarskas & Jacek Caban & Andrzej Marczuk, 2019. "Research of the Energy Losses of Photovoltaic (PV) Modules after Hail Simulation Using a Newly-Created Testbed," Energies, MDPI, vol. 12(23), pages 1-14, November.
- Bailek, Nadjem & Bouchouicha, Kada & Hassan, Muhammed A. & Slimani, Abdeldjalil & Jamil, Basharat, 2020. "Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria," Renewable Energy, Elsevier, vol. 156(C), pages 57-67.
- Obiwulu, Anthony Umunnakwe & Erusiafe, Nald & Olopade, Muteeu Abayomi & Nwokolo, Samuel Chukwujindu, 2020. "Modeling and optimization of back temperature models of mono-crystalline silicon modules with special focus on the effect of meteorological and geographical parameters on PV performance," Renewable Energy, Elsevier, vol. 154(C), pages 404-431.
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Keywords
Solar modules; Global solar radiation; Meteorological-based models; Tilt-angle; Back temperature;All these keywords.
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