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Sizing a hybrid wind-diesel stand-alone system on the basis of minimum long-term electricity production cost

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  • Kaldellis, J.K.
  • Kondili, E.
  • Filios, A.

Abstract

Hybrid wind-diesel systems are an interesting solution for the electrification of isolated consumers. The proposed system, including a properly sized battery, leads to a significant reduction of the fuel consumption, in comparison with a diesel-only installation, also protecting the diesel generator from excessive wear. On the other hand, a properly designed wind-diesel installation remarkably reduces the required battery capacity, in relation to a wind-only based stand-alone system, especially in medium-low wind potential areas. In this context, a complete sizing model, based on a long-term energy production cost analysis is developed, able to predict the optimum configuration of a hybrid wind-diesel stand-alone system on the basis of minimum long-term cost. According to the application results obtained for representative wind potential cases, the proposed hybrid system guarantees one year's long energy autonomy of a typical remote consumer, presenting a significant cost advantage in relation either to a diesel-only or to a wind-based stand-alone system.

Suggested Citation

  • Kaldellis, J.K. & Kondili, E. & Filios, A., 2006. "Sizing a hybrid wind-diesel stand-alone system on the basis of minimum long-term electricity production cost," Applied Energy, Elsevier, vol. 83(12), pages 1384-1403, December.
    • Handle: RePEc:eee:appene:v:83:y:2006:i:12:p:1384-1403
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    References listed on IDEAS

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    Cited by:

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    2. Yuan, Qiheng & Zhou, Keliang & Yao, Jing, 2020. "A new measure of wind power variability with implications for the optimal sizing of standalone wind power systems," Renewable Energy, Elsevier, vol. 150(C), pages 538-549.
    3. Kaldellis, John & Zafirakis, Dimitrios & Kavadias, Kosmas & Kondili, Emilia, 2012. "Optimum PV-diesel hybrid systems for remote consumers of the Greek territory," Applied Energy, Elsevier, vol. 97(C), pages 61-67.
    4. 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.
    5. Borges Neto, M.R. & Carvalho, P.C.M. & Carioca, J.O.B. & Canafístula, F.J.F., 2010. "Biogas/photovoltaic hybrid power system for decentralized energy supply of rural areas," Energy Policy, Elsevier, vol. 38(8), pages 4497-4506, August.
    6. Ayop, Razman & Isa, Normazlina Mat & Tan, Chee Wei, 2018. "Components sizing of photovoltaic stand-alone system based on loss of power supply probability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2731-2743.
    7. Zafirakis, D. & Chalvatzis, K. & Kaldellis, J.K., 2013. "“Socially just” support mechanisms for the promotion of renewable energy sources in Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 478-493.
    8. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2014. "Technical feasibility study on a standalone hybrid solar-wind system with pumped hydro storage for a remote island in Hong Kong," Renewable Energy, Elsevier, vol. 69(C), pages 7-15.
    9. Ibrahim, H. & Younès, R. & Ilinca, A. & Dimitrova, M. & Perron, J., 2010. "Study and design of a hybrid wind-diesel-compressed air energy storage system for remote areas," Applied Energy, Elsevier, vol. 87(5), pages 1749-1762, May.
    10. 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.
    11. Purvins, Arturs & Zubaryeva, Alyona & Llorente, Maria & Tzimas, Evangelos & Mercier, Arnaud, 2011. "Challenges and options for a large wind power uptake by the European electricity system," Applied Energy, Elsevier, vol. 88(5), pages 1461-1469, May.
    12. Ahadi, Amir & Kang, Sang-Kyun & Lee, Jang-Ho, 2016. "A novel approach for optimal combinations of wind, PV, and energy storage system in diesel-free isolated communities," Applied Energy, Elsevier, vol. 170(C), pages 101-115.
    13. Wang, Jen-Cheng & Shieh, Jyh-Cherng & Su, Yu-Li & Kuo, Kun-Chang & Chang, Yen-Wei & Liang, Yu-Ting & Chou, Jui-Jen & Liao, Kuo-Chi & Jiang, Joe-Air, 2011. "A novel method for the determination of dynamic resistance for photovoltaic modules," Energy, Elsevier, vol. 36(10), pages 5968-5974.
    14. Jiang, Joe-Air & Su, Yu-Li & Shieh, Jyh-Cherng & Kuo, Kun-Chang & Lin, Tzu-Shiang & Lin, Ta-Te & Fang, Wei & Chou, Jui-Jen & Wang, Jen-Cheng, 2014. "On application of a new hybrid maximum power point tracking (MPPT) based photovoltaic system to the closed plant factory," Applied Energy, Elsevier, vol. 124(C), pages 309-324.
    15. Roy, Anindita & Kedare, Shireesh B. & Bandyopadhyay, Santanu, 2010. "Optimum sizing of wind-battery systems incorporating resource uncertainty," Applied Energy, Elsevier, vol. 87(8), pages 2712-2727, August.
    16. Kaldellis, J.K., 2011. "Critical evaluation of financial supporting schemes for wind-based projects: Case study Greece," Energy Policy, Elsevier, vol. 39(5), pages 2490-2500, May.
    17. Kaldellis, J.K. & Zafirakis, D. & Kavadias, K., 2012. "Minimum cost solution of wind–photovoltaic based stand-alone power systems for remote consumers," Energy Policy, Elsevier, vol. 42(C), pages 105-117.
    18. Upadhyay, Subho & Sharma, M.P., 2014. "A review on configurations, control and sizing methodologies of hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 47-63.
    19. Khan, M.J. & Iqbal, M.T., 2009. "Analysis of a small wind-hydrogen stand-alone hybrid energy system," Applied Energy, Elsevier, vol. 86(11), pages 2429-2442, November.

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