Comprehensive method for analyzing the power conversion efficiency of organic solar cells under different spectral irradiances considering both photonic and electrical characteristics
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DOI: 10.1016/j.apenergy.2016.08.002
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- Tran, Thomas T.D. & Smith, Amanda D., 2017. "fEvaluation of renewable energy technologies and their potential for technical integration and cost-effective use within the U.S. energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1372-1388.
- Neves, Luciano A. & Leite, Gabriel C. & MacKenzie, Roderick C.I. & Ferreira, Rafael A.M. & Porto, Matheus P., 2021. "A methodology to simulate solar cells electrical response using optical-electrical mathematical models and real solar spectra," Renewable Energy, Elsevier, vol. 164(C), pages 968-977.
- Seera, Manjeevan & Tan, Choo Jun & Chong, Kok-Keong & Lim, Chee Peng, 2021. "Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm," Energy, Elsevier, vol. 223(C).
- Hong, Kai Jeat & Tan, Sin Tee & Chong, Kok-Keong & Yap, Chi Chin & Hj Jumali, Mohammad Hafizuddin & Loo, Yueh-Lin, 2019. "Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices," Renewable Energy, Elsevier, vol. 135(C), pages 589-596.
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Keywords
Organic solar cell; AM1.5G; Poly(3-hexylthiophene):phenyl-C61-butyric acid methyl ester; Power conversion efficiency; Spectral variation; Local solar irradiance;All these keywords.
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