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A Response Surface-Based Cost Model for Wind Farm Design

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  • Zhang, Jie
  • Chowdhury, Souma
  • Messac, Achille
  • Castillo, Luciano

Abstract

A Response Surface-Based Wind Farm Cost (RS-WFC) model is developed for the engineering planning of wind farms. The RS-WFC model is developed using Extended Radial Basis Functions (E-RBF) for onshore wind farms in the U.S. This model is then used to explore the influences of different design and economic parameters, including number of turbines, rotor diameter and labor cost, on the cost of a wind farm. The RS-WFC model is composed of three components that estimate the effects of engineering and economic factors on (i) the installation cost, (ii) the annual Operation and Maintenance (O&M) cost, and (iii) the total annual cost of a wind farm. The accuracy of the cost model is favorably established through comparison with pertinent commercial data. The final RS-WFC model provided interesting insights into cost variation with respect to critical engineering and economic parameters. In addition, a newly developed analytical wind farm engineering model is used to determine the power generated by the farm, and the subsequent Cost of Energy (COE). This COE is optimized for a unidirectional uniform “incoming wind speed” scenario using Particle Swarm Optimization (PSO). We found that the COE could be appreciably minimized through layout optimization, thereby yielding significant cost savings.

Suggested Citation

  • Zhang, Jie & Chowdhury, Souma & Messac, Achille & Castillo, Luciano, 2012. "A Response Surface-Based Cost Model for Wind Farm Design," Energy Policy, Elsevier, vol. 42(C), pages 538-550.
    • Handle: RePEc:eee:enepol:v:42:y:2012:i:c:p:538-550
    DOI: 10.1016/j.enpol.2011.12.021
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    References listed on IDEAS

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    1. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
    2. Snyder, Brian & Kaiser, Mark J., 2009. "Offshore wind power in the US: Regulatory issues and models for regulation," Energy Policy, Elsevier, vol. 37(11), pages 4442-4453, November.
    3. Chowdhury, Souma & Zhang, Jie & Messac, Achille & Castillo, Luciano, 2012. "Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation," Renewable Energy, Elsevier, vol. 38(1), pages 16-30.
    4. Boccard, Nicolas, 2009. "Capacity factor of wind power realized values vs. estimates," Energy Policy, Elsevier, vol. 37(7), pages 2679-2688, July.
    5. Berry, David, 2009. "Innovation and the price of wind energy in the US," Energy Policy, Elsevier, vol. 37(11), pages 4493-4499, November.
    6. Hussain, Mohammed F. & Barton, Russel R. & Joshi, Sanjay B., 2002. "Metamodeling: Radial basis functions, versus polynomials," European Journal of Operational Research, Elsevier, vol. 138(1), pages 142-154, April.
    7. Kiranoudis, C. T. & Voros, N. G. & Maroulis, Z. B., 2001. "Short-cut design of wind farms," Energy Policy, Elsevier, vol. 29(7), pages 567-578, June.
    8. Kaldellis, J. K. & Gavras, Th. J., 2000. "The economic viability of commercial wind plants in Greece A complete sensitivity analysis," Energy Policy, Elsevier, vol. 28(8), pages 509-517, July.
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    3. Newman, A. Jensen & Cal, Raúl Bayoán & Castillo, Luciano, 2015. "Blade number effects in a scaled down wind farm," Renewable Energy, Elsevier, vol. 81(C), pages 472-481.
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    7. Geyer, Philipp & Schlüter, Arno, 2014. "Automated metamodel generation for Design Space Exploration and decision-making – A novel method supporting performance-oriented building design and retrofitting," Applied Energy, Elsevier, vol. 119(C), pages 537-556.
    8. Geyer, Philipp & Singaravel, Sundaravelpandian, 2018. "Component-based machine learning for performance prediction in building design," Applied Energy, Elsevier, vol. 228(C), pages 1439-1453.
    9. Feng, Ju & Shen, Wen Zhong, 2017. "Design optimization of offshore wind farms with multiple types of wind turbines," Applied Energy, Elsevier, vol. 205(C), pages 1283-1297.
    10. Tautz-Weinert, Jannis & Yürüşen, Nurseda Y. & Melero, Julio J. & Watson, Simon J., 2019. "Sensitivity study of a wind farm maintenance decision - A performance and revenue analysis," Renewable Energy, Elsevier, vol. 132(C), pages 93-105.
    11. González-Gorbeña, Eduardo & Qassim, Raad Y. & Rosman, Paulo C.C., 2016. "Optimisation of hydrokinetic turbine array layouts via surrogate modelling," Renewable Energy, Elsevier, vol. 93(C), pages 45-57.
    12. Ma, Xiaojuan & Wu, Xinghong & Wu, Yan & Wang, Yufei, 2023. "Energy system design of offshore natural gas hydrates mining platforms considering multi-period floating wind farm optimization and production profile fluctuation," Energy, Elsevier, vol. 265(C).

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