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Load profile impact on the gross energy requirement of stand-alone photovoltaic systems

Author

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  • Thiaux, Y.
  • Seigneurbieux, J.
  • Multon, B.
  • Ben Ahmed, H.

Abstract

The sizing optimization of a Stand-Alone Photovoltaic system (SAPV) is a very complex issue. Therefore, a compromise solution must be made between having an acceptable energy and economic cost for the consumer, and a relatively correct energy supply quality. The Gross Energy Requirement (GER) of an SAPV system corresponds to the primary energy total amount required for the production, the maintenance and the recycling of this system. Reducing the GER is thus, an effective way to promote the development of SAPV systems. Therefore, the load profile management, in order to get closer to the ideal “solar” consumer, allows the downsizing of the system. In this paper, a methodology for studying the impact of load profiles on GER is proposed. Two different modifications parameters have been considered theoretically on idealized load and production profiles: the load shifting which seems simpler to implement in the reality, and the amplitude modulation. Furthermore, the NSGA-II genetic algorithm has been used to confirm theoretical outcomes and to optimize SAPV system sizing for three realistic load profiles, with the aim of quantifying the GER reduction, by minimizing the storage capacity (taking into account the replacements due to cycling) which is one of the weak points of such a system, and by PV panels downsizing.

Suggested Citation

  • Thiaux, Y. & Seigneurbieux, J. & Multon, B. & Ben Ahmed, H., 2010. "Load profile impact on the gross energy requirement of stand-alone photovoltaic systems," Renewable Energy, Elsevier, vol. 35(3), pages 602-613.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:3:p:602-613
    DOI: 10.1016/j.renene.2009.08.005
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    References listed on IDEAS

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    1. Alsema, E. A. & Nieuwlaar, E., 2000. "Energy viability of photovoltaic systems," Energy Policy, Elsevier, vol. 28(14), pages 999-1010, November.
    2. Celik, A.N., 2007. "Effect of different load profiles on the loss-of-load probability of stand-alone photovoltaic systems," Renewable Energy, Elsevier, vol. 32(12), pages 2096-2115.
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    3. Ullah, Hayat & Kamal, Ijlal & Ali, Ayesha & Arshad, Naveed, 2018. "Investor focused placement and sizing of photovoltaic grid-connected systems in Pakistan," Renewable Energy, Elsevier, vol. 121(C), pages 460-473.
    4. Thiaux, Yaël & Dang, Thu Thuy & Schmerber, Louis & Multon, Bernard & Ben Ahmed, Hamid & Bacha, Seddik & Tran, Quoc Tuan, 2019. "Demand-side management strategy in stand-alone hybrid photovoltaic systems with real-time simulation of stochastic electricity consumption behavior," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Kallel, Randa & Boukettaya, Ghada & Krichen, Lotfi, 2015. "Demand side management of household appliances in stand-alone hybrid photovoltaic system," Renewable Energy, Elsevier, vol. 81(C), pages 123-135.
    6. Laib, I. & Hamidat, A. & Haddadi, M. & Ramzan, N. & Olabi, A.G., 2018. "Study and simulation of the energy performances of a grid-connected PV system supplying a residential house in north of Algeria," Energy, Elsevier, vol. 152(C), pages 445-454.
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    8. 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.
    9. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    10. Gerbinet, Saïcha & Belboom, Sandra & Léonard, Angélique, 2014. "Life Cycle Analysis (LCA) of photovoltaic panels: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 747-753.
    11. Bouabdallah, A. & Olivier, J.C. & Bourguet, S. & Machmoum, M. & Schaeffer, E., 2015. "Safe sizing methodology applied to a standalone photovoltaic system," Renewable Energy, Elsevier, vol. 80(C), pages 266-274.

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