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The right size matters: Investigating the offshore wind turbine market equilibrium

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  • Ederer, Nikolaus

Abstract

Although early experiences indicate that the maturity of deployed technology might not be sufficient for operating wind farms in large scale far away from shore, the rapid development of offshore wind energy is in full progress. Driven by the demand of customers and the pressure to keep pace with competitors, offshore wind turbine manufacturers continuously develop larger wind turbines instead of improving the present ones which would ensure reliability in harsh offshore environment. Pursuing the logic of larger turbines generating higher energy yield and therefore achieving higher efficiency, this trend is also supported by governmental subsidies under the expectation to bring down the cost of electricity from offshore wind. The aim of this article is to demonstrate that primarily due to the limited wind resource upscaling offshore wind turbines beyond the size of 10 MW (megawatt) is not reasonable. Applying the planning methodology of an offshore wind project developer to a case study wind farm in the German North Sea and assessing energy yield, lifetime project profitability and levelized cost of electricity substantiate this thesis. This is highly interesting for all stakeholders in the offshore wind industry and questions current subsidy policies supporting projects for developing turbines up to 20 MW.

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  • Ederer, Nikolaus, 2014. "The right size matters: Investigating the offshore wind turbine market equilibrium," Energy, Elsevier, vol. 68(C), pages 910-921.
    • Handle: RePEc:eee:energy:v:68:y:2014:i:c:p:910-921
    DOI: 10.1016/j.energy.2014.02.060
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    1. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.
    2. Prässler, Thomas & Schaechtele, Jan, 2012. "Comparison of the financial attractiveness among prospective offshore wind parks in selected European countries," Energy Policy, Elsevier, vol. 45(C), pages 86-101.
    3. Alam, Md. Mahbub & Rehman, Shafiqur & Meyer, Josua P. & Al-Hadhrami, Luai M., 2011. "Review of 600–2500kW sized wind turbines and optimization of hub height for maximum wind energy yield realization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3839-3849.
    4. Pérez, Beatriz & Mínguez, Roberto & Guanche, Raúl, 2013. "Offshore wind farm layout optimization using mathematical programming techniques," Renewable Energy, Elsevier, vol. 53(C), pages 389-399.
    5. Madariaga, A. & Martín, J.L. & Zamora, I. & Martínez de Alegría, I. & Ceballos, S., 2013. "Technological trends in electric topologies for offshore wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 32-44.
    6. González, J. Serrano & Rodríguez, Á.G. González & Mora, J. Castro & Burgos Payán, M. & Santos, J. Riquelme, 2011. "Overall design optimization of wind farms," Renewable Energy, Elsevier, vol. 36(7), pages 1973-1982.
    7. Heptonstall, Philip & Gross, Robert & Greenacre, Philip & Cockerill, Tim, 2012. "The cost of offshore wind: Understanding the past and projecting the future," Energy Policy, Elsevier, vol. 41(C), pages 815-821.
    8. Möller, Bernd & Hong, Lixuan & Lonsing, Reinhard & Hvelplund, Frede, 2012. "Evaluation of offshore wind resources by scale of development," Energy, Elsevier, vol. 48(1), pages 314-322.
    9. González, Javier Serrano & Gonzalez Rodriguez, Angel G. & Mora, José Castro & Santos, Jesús Riquelme & Payan, Manuel Burgos, 2010. "Optimization of wind farm turbines layout using an evolutive algorithm," Renewable Energy, Elsevier, vol. 35(8), pages 1671-1681.
    10. Weaver, Tyson, 2012. "Financial appraisal of operational offshore wind energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5110-5120.
    11. González-Longatt, F. & Wall, P. & Terzija, V., 2012. "Wake effect in wind farm performance: Steady-state and dynamic behavior," Renewable Energy, Elsevier, vol. 39(1), pages 329-338.
    12. Dicorato, M. & Forte, G. & Pisani, M. & Trovato, M., 2011. "Guidelines for assessment of investment cost for offshore wind generation," Renewable Energy, Elsevier, vol. 36(8), pages 2043-2051.
    13. Kaldellis, J.K. & Kapsali, M., 2013. "Shifting towards offshore wind energy—Recent activity and future development," Energy Policy, Elsevier, vol. 53(C), pages 136-148.
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