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Approaches for developing a sizing method for stand-alone PV systems with variable demand

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  • Posadillo, R.
  • López Luque, R.

Abstract

Accurate sizing is one of the most important aspects to take into consideration when designing a stand-alone photovoltaic system (SAPV). Various methods, which differ in terms of their simplicity or reliability, have been developed for this purpose. Analytical methods, which seek functional relationships between variables of interest to the sizing problem, are one of these approaches.

Suggested Citation

  • Posadillo, R. & López Luque, R., 2008. "Approaches for developing a sizing method for stand-alone PV systems with variable demand," Renewable Energy, Elsevier, vol. 33(5), pages 1037-1048.
  • Handle: RePEc:eee:renene:v:33:y:2008:i:5:p:1037-1048
    DOI: 10.1016/j.renene.2007.06.004
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    References listed on IDEAS

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    1. Mellit, A. & Benghanem, M. & Arab, A. Hadj & Guessoum, A., 2005. "An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: application for isolated sites in Algeria," Renewable Energy, Elsevier, vol. 30(10), pages 1501-1524.
    2. Labed, S. & Lorenzo, E., 2004. "The impact of solar radiation variability and data discrepancies on the design of PV systems," Renewable Energy, Elsevier, vol. 29(7), pages 1007-1022.
    3. Bartoli, B & Cuomo, V & Fontana, F & Serio, C & Silvestrini, V, 1984. "The design of photovoltaic plants: An optimization procedure," Applied Energy, Elsevier, vol. 18(1), pages 37-47.
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    2. Casares, F.J. & Lopez-Luque, R. & Posadillo, R. & Varo-Martinez, M., 2014. "Mathematical approach to the characterization of daily energy balance in autonomous photovoltaic solar systems," Energy, Elsevier, vol. 72(C), pages 393-404.
    3. Khatib, Tamer & Mohamed, Azah & Sopian, K., 2013. "A review of photovoltaic systems size optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 454-465.
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    10. Bhandari, Binayak & Lee, Kyung-Tae & Lee, Caroline Sunyong & Song, Chul-Ki & Maskey, Ramesh K. & Ahn, Sung-Hoon, 2014. "A novel off-grid hybrid power system comprised of solar photovoltaic, wind, and hydro energy sources," Applied Energy, Elsevier, vol. 133(C), pages 236-242.
    11. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    12. Okoye, Chiemeka Onyeka & Taylan, Onur & Baker, Derek K., 2016. "Solar energy potentials in strategically located cities in Nigeria: Review, resource assessment and PV system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 550-566.
    13. Javier Carroquino & José-Luis Bernal-Agustín & Rodolfo Dufo-López, 2019. "Standalone Renewable Energy and Hydrogen in an Agricultural Context: A Demonstrative Case," Sustainability, MDPI, vol. 11(4), pages 1-25, February.
    14. Jakhrani, Abdul Qayoom & Othman, Al-Khalid & Rigit, Andrew Ragai Henry & Samo, Saleem Raza & Kamboh, Shakeel Ahmed, 2012. "A novel analytical model for optimal sizing of standalone photovoltaic systems," Energy, Elsevier, vol. 46(1), pages 675-682.
    15. Fouad, M.M. & Shihata, Lamia A. & Morgan, ElSayed I., 2017. "An integrated review of factors influencing the perfomance of photovoltaic panels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1499-1511.
    16. Zavala, V. & López-Luque, R. & Reca, J. & Martínez, J. & Lao, M.T., 2020. "Optimal management of a multisector standalone direct pumping photovoltaic irrigation system," Applied Energy, Elsevier, vol. 260(C).

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