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The design of photovoltaic plants: An optimization procedure

Author

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  • Bartoli, B
  • Cuomo, V
  • Fontana, F
  • Serio, C
  • Silvestrini, V

Abstract

In this paper we discuss a simple analytical method which allows one to predict the fraction of the load covered by a photovoltaic plant as a function of the dimensions of its components (i.e. area of the photovoltaic array and battery storage capacity), of the meteorological parameters and of the user's load. We then use this method to perform an economic analysis for standalone plants and for fuel-assisted plants.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:18:y:1984:i:1:p:37-47
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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. Yunesky Masip & Anibal Gutierrez & Joel Morales & Antonio Campo & Meyli Valín, 2019. "Integrated Renewable Energy System Based on IREOM Model and Spatial–Temporal Series for Isolated Rural Areas in the Region of Valparaiso, Chile," Energies, MDPI, vol. 12(6), pages 1-19, March.
    3. 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.
    4. 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.
    5. 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.
    6. Khan, Mohammad Junaid & Yadav, Amit Kumar & Mathew, Lini, 2017. "Techno economic feasibility analysis of different combinations of PV-Wind-Diesel-Battery hybrid system for telecommunication applications in different cities of Punjab, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 577-607.
    7. 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.
    8. Sarhan, Ameen & Hizam, Hashim & Mariun, Norman & Ya'acob, M.E., 2019. "An improved numerical optimization algorithm for sizing and configuration of standalone photo-voltaic system components in Yemen," Renewable Energy, Elsevier, vol. 134(C), pages 1434-1446.
    9. 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.
    10. Yilmaz, Pelin & Hakan Hocaoglu, M. & Konukman, Alp Er S., 2008. "A pre-feasibility case study on integrated resource planning including renewables," Energy Policy, Elsevier, vol. 36(3), pages 1223-1232, March.
    11. Mellit, Adel & Kalogirou, Soteris A. & Drif, Mahmoud, 2010. "Application of neural networks and genetic algorithms for sizing of photovoltaic systems," Renewable Energy, Elsevier, vol. 35(12), pages 2881-2893.
    12. Kaplani, E. & Kaplanis, S., 2012. "A stochastic simulation model for reliable PV system sizing providing for solar radiation fluctuations," Applied Energy, Elsevier, vol. 97(C), pages 970-981.
    13. Posadillo, R. & López Luque, R., 2008. "A sizing method for stand-alone PV installations with variable demand," Renewable Energy, Elsevier, vol. 33(5), pages 1049-1055.

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