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Baseload electricity from wind via compressed air energy storage (CAES)

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  • Mason, James E.
  • Archer, Cristina L.

Abstract

This study investigates two methods of transforming intermittent wind electricity into firm baseload capacity: (1) using electricity from natural gas combined-cycle (NGCC) power plants and (2) using electricity from compressed air energy storage (CAES) power plants. The two wind models are compared in terms of capital and electricity costs, CO2 emissions, and fuel consumption rates. The findings indicate that the combination of wind and NGCC power plants is the lowest-cost method of transforming wind electricity into firm baseload capacity power supply at current natural gas prices (∼$6/GJ). However, the electricity supplied by wind and CAES power plants becomes economically competitive when the cost of natural gas for electric producers is $10.55/GJ or greater. In addition, the Wind-CAES system has the lowest CO2 emissions (93% and 71% lower than pulverized coal power plants and Wind-NGCC, respectively) and the lowest fuel consumption rates (9 and 4 times lower than pulverized coal power plants and Wind-NGCC, respectively). As such, the large-scale introduction of Wind-CAES systems in the U.S. appears to be the prudent long-term choice once natural gas price volatility, costs, and climate impacts are all considered.

Suggested Citation

  • Mason, James E. & Archer, Cristina L., 2012. "Baseload electricity from wind via compressed air energy storage (CAES)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1099-1109.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:2:p:1099-1109
    DOI: 10.1016/j.rser.2011.11.009
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    2. de Bosio, Federico & Verda, Vittorio, 2015. "Thermoeconomic analysis of a Compressed Air Energy Storage (CAES) system integrated with a wind power plant in the framework of the IPEX Market," Applied Energy, Elsevier, vol. 152(C), pages 173-182.
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    7. Archer, C.L. & Simão, H.P. & Kempton, W. & Powell, W.B. & Dvorak, M.J., 2017. "The challenge of integrating offshore wind power in the U.S. electric grid. Part I: Wind forecast error," Renewable Energy, Elsevier, vol. 103(C), pages 346-360.
    8. 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).
    9. Bai, Jiayu & Liu, Feng & Xue, Xiaodai & Wei, Wei & Chen, Laijun & Wang, Guohua & Mei, Shengwei, 2021. "Modelling and control of advanced adiabatic compressed air energy storage under power tracking mode considering off-design generating conditions," Energy, Elsevier, vol. 218(C).
    10. 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).
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    12. Pearre, Nathaniel S. & Swan, Lukas G., 2015. "Technoeconomic feasibility of grid storage: Mapping electrical services and energy storage technologies," Applied Energy, Elsevier, vol. 137(C), pages 501-510.
    13. Nojavan, Sayyad & Najafi-Ghalelou, Afshin & Majidi, Majid & Zare, Kazem, 2018. "Optimal bidding and offering strategies of merchant compressed air energy storage in deregulated electricity market using robust optimization approach," Energy, Elsevier, vol. 142(C), pages 250-257.
    14. Szablowski, Lukasz & Krawczyk, Piotr & Badyda, Krzysztof & Karellas, Sotirios & Kakaras, Emmanuel & Bujalski, Wojciech, 2017. "Energy and exergy analysis of adiabatic compressed air energy storage system," Energy, Elsevier, vol. 138(C), pages 12-18.
    15. Alirahmi, Seyed Mojtaba & Razmi, Amir Reza & Arabkoohsar, Ahmad, 2021. "Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    16. Lukasz Szablowski & Piotr Krawczyk & Marcin Wolowicz, 2021. "Exergy Analysis of Adiabatic Liquid Air Energy Storage (A-LAES) System Based on Linde–Hampson Cycle," Energies, MDPI, vol. 14(4), pages 1-16, February.
    17. Krawczyk, Piotr & Szabłowski, Łukasz & Karellas, Sotirios & Kakaras, Emmanuel & Badyda, Krzysztof, 2018. "Comparative thermodynamic analysis of compressed air and liquid air energy storage systems," Energy, Elsevier, vol. 142(C), pages 46-54.
    18. Guo, Hao & Gong, Maoqiong & Sun, Hailiang, 2021. "Performance analysis of a novel energy storage system based on the combination of positive and reverse organic Rankine cycles," Energy, Elsevier, vol. 231(C).
    19. Jannelli, E. & Minutillo, M. & Lubrano Lavadera, A. & Falcucci, G., 2014. "A small-scale CAES (compressed air energy storage) system for stand-alone renewable energy power plant for a radio base station: A sizing-design methodology," Energy, Elsevier, vol. 78(C), pages 313-322.
    20. Lo Prete, Chiara & Hobbs, Benjamin F., 2016. "A cooperative game theoretic analysis of incentives for microgrids in regulated electricity markets," Applied Energy, Elsevier, vol. 169(C), pages 524-541.
    21. Katsaprakakis, Dimitris Al & Thomsen, Bjarti & Dakanali, Irini & Tzirakis, Kostas, 2019. "Faroe Islands: Towards 100% R.E.S. penetration," Renewable Energy, Elsevier, vol. 135(C), pages 473-484.
    22. Ren, Guorui & Liu, Jinfu & Wan, Jie & Guo, Yufeng & Yu, Daren, 2017. "Overview of wind power intermittency: Impacts, measurements, and mitigation solutions," Applied Energy, Elsevier, vol. 204(C), pages 47-65.

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    Wind; CAES; Renewable;
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