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Offshore wind energy storage concept for cost-of-rated-power savings

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  • Qin, Chao
  • Saunders, Gordon
  • Loth, Eric

Abstract

The size and number of off-shore wind turbines over the next decade is expected to rapidly increase due to the high wind energy potential and the ability of such farms to provide utility-scale energy. In this future, inexpensive and efficient on-site wind energy storage can be critical to address short-time (hourly) mismatches between wind supply and energy demand. This study investigates a compressed air energy storage (CAES) and hydraulic power transmission (HPT) system concept. To assess cost impact, the NREL Cost and Scaling Model was modified to improve accuracy and robustness for offshore wind farms with large turbines. Special attention was paid to the support structure, installation, electrical interface and connections, land leasing, and operations and maintenance cost items as well as specific increased/reduced costs reductions associated with CAES+HPT systems. This cost model was validated and applied to a sample $2.92billion project Virginia Offshore case It was found that adaption of CAES+HPT can lead to a substantial savings of 21.6% of this 20-year lifetime cost by dramatically reducing capital and operating cost of the generator and power transmission components. However, there are several additional variables that can impact the off-shore energy policy and planning for this new CAES+HPT concept. Furthermore, these cost-savings are only first-order estimates based on linear mass-cost relationships, and thus detailed engineering and economic analysis are recommended.

Suggested Citation

  • Qin, Chao & Saunders, Gordon & Loth, Eric, 2017. "Offshore wind energy storage concept for cost-of-rated-power savings," Applied Energy, Elsevier, vol. 201(C), pages 148-157.
    • Handle: RePEc:eee:appene:v:201:y:2017:i:c:p:148-157
    DOI: 10.1016/j.apenergy.2017.04.077
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    References listed on IDEAS

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    1. Qinwei Wang & Zeli Du & Wenting Chen & Chao Ai & Xiangdong Kong & Jiarui Zhang & Keyi Liu & Gexin Chen, 2024. "Maximum Power Point Tracking Control of Offshore Hydraulic Wind Turbine Based on Radial Basis Function Neural Network," Energies, MDPI, vol. 17(2), pages 1-21, January.
    2. Qin, Chao (Chris) & Loth, Eric, 2021. "Isothermal compressed wind energy storage using abandoned oil/gas wells or coal mines," Applied Energy, Elsevier, vol. 292(C).
    3. Barah Ahn & Vikram C. Patil & Paul I. Ro, 2021. "Effect of Integrating Metal Wire Mesh with Spray Injection for Liquid Piston Gas Compression," Energies, MDPI, vol. 14(13), pages 1-23, June.
    4. Bennett, Jeffrey A. & Simpson, Juliet G. & Qin, Chao & Fittro, Roger & Koenig, Gary M. & Clarens, Andres F. & Loth, Eric, 2021. "Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power," Applied Energy, Elsevier, vol. 303(C).
    5. Ju, Shen-Haw & Huang, Yu-Cheng & Huang, Yin-Yu, 2020. "Study of optimal large-scale offshore wind turbines," Renewable Energy, Elsevier, vol. 154(C), pages 161-174.
    6. Cheng Yang & Jun Jia & Ke He & Liang Xue & Chao Jiang & Shuangyu Liu & Bochao Zhao & Ming Wu & Haoyang Cui, 2023. "Comprehensive Analysis and Evaluation of the Operation and Maintenance of Offshore Wind Power Systems: A Survey," Energies, MDPI, vol. 16(14), pages 1-39, July.
    7. Simpson, J.G. & Hanrahan, G. & Loth, E. & Koenig, G.M. & Sadoway, D.R., 2021. "Liquid metal battery storage in an offshore wind turbine: Concept and economic analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).

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