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Optimization of a grid-connected renewable energy system for a case study in Nablus, Palestine

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  • Tamer Khatib

Abstract

Recently, the Palestinian energy authority has approved a renewable energy policy to resolve the electricity problem caused by the Palestinian-Israeli energy dispute. Based on this, clear technical aspects in regards to renewable energy systems must enforced. In this research, a renewable energy system consisting of a PV and a wind energy source is proposed to be connected to Nablus city electricity grid. The proposed system is optimally designed taking into consideration maximum system productivity and inverter size. Two evaluating factors are used to optimally choose the configuration of the proposed system namely final yield factor (FY) and capacity factor (CF). As for the inverter, a liner programming optimization is performed to find out the optimum inverter sizing ratio (the rated power of the energy source to the rated power of the inverter). The results show that the use of PV energy sources is more feasible as compared to wind energy sources in Nablus. Therefore, a grid-connected system consisting of PV array only as an energy source is recommended. Moreover, the optimum sizing ratio of the inverter in the proposed system is 1.42.

Suggested Citation

  • Tamer Khatib, 2014. "Optimization of a grid-connected renewable energy system for a case study in Nablus, Palestine," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 9(4), pages 311-318.
    • Handle: RePEc:oup:ijlctc:v:9:y:2014:i:4:p:311-318.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctt007
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    Cited by:

    1. Bernhard Faessler & Aleksander Bogunović Jakobsen, 2021. "Autonomous Operation of Stationary Battery Energy Storage Systems—Optimal Storage Design and Economic Potential," Energies, MDPI, vol. 14(5), pages 1-12, March.
    2. Tamer Khatib & Amin Bazyan & Hiba Assi & Sura Malhis, 2021. "Palestine Energy Policy for Photovoltaic Generation: Current Status and What Should Be Next?," Sustainability, MDPI, vol. 13(5), pages 1-19, March.

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