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An integrated model for performance simulation of hybrid wind–diesel systems

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  • Kaldellis, J.K.

Abstract

Stand-alone hybrid systems have turned into one of the most promising ways to handle the electrification requirements of numerous isolated consumers worldwide. The proposed wind–diesel–battery hybrid system consists of a micro-wind converter, a small diesel-electric generator—basically operating as a back up energy production system—and a lead-acid battery bank that stores the wind energy surplus during high wind speed periods. In this context the present work is focused on presenting a detailed mathematical model describing the operational behavior of the basic hybrid system components, along with the representative calculation results based on the developed mathematical model. Accordingly, an integrated numerical algorithm is built to estimate the energy autonomy configuration of the hybrid system under investigation. Using the proposed numerical algorithm, the optimum configuration selection procedure is verified by carrying out an appropriate sensitivity analysis. The proposed methodology may equally well be applied to any other remote consumer and wind potential type, in order to estimate the optimum wind–diesel hybrid system configuration that guarantees long-term energy autonomy.

Suggested Citation

  • Kaldellis, J.K., 2007. "An integrated model for performance simulation of hybrid wind–diesel systems," Renewable Energy, Elsevier, vol. 32(9), pages 1544-1564.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:9:p:1544-1564
    DOI: 10.1016/j.renene.2006.07.004
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    References listed on IDEAS

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    Cited by:

    1. Georgilakis, Pavlos S. & Katsigiannis, Yiannis A., 2009. "Reliability and economic evaluation of small autonomous power systems containing only renewable energy sources," Renewable Energy, Elsevier, vol. 34(1), pages 65-70.
    2. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2011. "Sizing of integrated renewable energy system based on load profiles and reliability index for the state of Uttarakhand in India," Renewable Energy, Elsevier, vol. 36(11), pages 2809-2821.
    3. Irimescu, Adrian & Vasiu, Gabriel & Tordai, Gavrilă Trif, 2014. "Performance and emissions of a small scale generator powered by a spark ignition engine with adaptive fuel injection control," Applied Energy, Elsevier, vol. 121(C), pages 196-206.
    4. Boulogiorgou, D. & Ktenidis, P., 2020. "TILOS local scale Technology Innovation enabling low carbon energy transition," Renewable Energy, Elsevier, vol. 146(C), pages 397-403.
    5. Urtasun, Andoni & Sanchis, Pablo & Barricarte, David & Marroyo, Luis, 2014. "Energy management strategy for a battery-diesel stand-alone system with distributed PV generation based on grid frequency modulation," Renewable Energy, Elsevier, vol. 66(C), pages 325-336.
    6. Giatrakos, G.P. & Tsoutsos, T.D. & Mouchtaropoulos, P.G. & Naxakis, G.D. & Stavrakakis, G., 2009. "Sustainable energy planning based on a stand-alone hybrid renewableenergy/hydrogen power system: Application in Karpathos island, Greece," Renewable Energy, Elsevier, vol. 34(12), pages 2562-2570.
    7. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
    8. Krumdieck, Susan & Hamm, Andreas, 2009. "Strategic analysis methodology for energy systems with remote island case study," Energy Policy, Elsevier, vol. 37(9), pages 3301-3313, September.
    9. Kaldellis, J.K. & Zafirakis, D. & Kavadias, K., 2009. "Techno-economic comparison of energy storage systems for island autonomous electrical networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 378-392, February.
    10. Juntunen, Jouni K. & Martiskainen, Mari, 2021. "Improving understanding of energy autonomy: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).

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