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Break-even analysis and size optimization of a PV/wind hybrid energy conversion system with battery storage - A case study

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  • Ekren, Orhan
  • Ekren, Banu Y.
  • Ozerdem, Baris

Abstract

This paper aims to show an optimum sizing procedure of autonomous PV/wind hybrid energy system with battery storage and a break-even analysis of this system and extension of transmission line. We use net present value (NPV) method for the comparison of autonomous hybrid energy system and extension of transmission line cases. The case study is completed for the satisfaction of the electricity consumption of global system for mobile communication base station (GSM) at Izmir Institute of Technology Campus Area, Urla, Izmir, Turkey. First, we optimize the PV/wind energy system using response surface methodology (RSM) which is a collection of statistical and mathematical methods relying on optimization of response surface with design parameters. As a result of RSM, the optimum PV area, wind turbine rotor swept area, and battery capacity are obtained as 3.95Â m2, 29.4Â m2, 31.92Â kWÂ h, respectively. These results led to $37,033.9 hybrid energy system cost. Second, break-even analysis is done to be able to decide the optimum distance where the hybrid energy system is more economical than the extension of the transmission line. The result shows that, if the distance between national electricity network and the GSM base station location where the hybrid energy system is assumed to be installed is at a distance more than 4817Â m, the installation of hybrid energy system is more economical than the electricity network.

Suggested Citation

  • Ekren, Orhan & Ekren, Banu Y. & Ozerdem, Baris, 2009. "Break-even analysis and size optimization of a PV/wind hybrid energy conversion system with battery storage - A case study," Applied Energy, Elsevier, vol. 86(7-8), pages 1043-1054, July.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:7-8:p:1043-1054
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    References listed on IDEAS

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    1. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    2. Yang, H.X. & Lu, L. & Burnett, J., 2003. "Weather data and probability analysis of hybrid photovoltaic–wind power generation systems in Hong Kong," Renewable Energy, Elsevier, vol. 28(11), pages 1813-1824.
    3. Kleijnen, Jack P. C. & Sargent, Robert G., 2000. "A methodology for fitting and validating metamodels in simulation," European Journal of Operational Research, Elsevier, vol. 120(1), pages 14-29, January.
    4. Bakos, G. C. & Soursos, M., 2002. "Techno-economic assessment of a stand-alone PV/hybrid installation for low-cost electrification of a tourist resort in Greece," Applied Energy, Elsevier, vol. 73(2), pages 183-193, October.
    5. Panis, Renato P. & Myers, Raymond H. & Houck, Ernest C., 1994. "Combining regression diagnostics with simulation metamodels," European Journal of Operational Research, Elsevier, vol. 73(1), pages 85-94, February.
    6. Ashok, S., 2007. "Optimised model for community-based hybrid energy system," Renewable Energy, Elsevier, vol. 32(7), pages 1155-1164.
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