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The value of compressed air energy storage with wind in transmission-constrained electric power systems

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  • Denholm, Paul
  • Sioshansi, Ramteen
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    Abstract

    In this work, we examine the potential advantages of co-locating wind and energy storage to increase transmission utilization and decrease transmission costs. Co-location of wind and storage decreases transmission requirements, but also decreases the economic value of energy storage compared to locating energy storage at the load. This represents a tradeoff which we examine to estimate the transmission costs required to justify moving storage from load-sited to wind-sited in three different locations in the United States. We examined compressed air energy storage (CAES) in three "wind by wire" scenarios with a variety of transmission and CAES sizes relative to a given amount of wind. In the sites and years evaluated, the optimal amount of transmission ranges from 60% to 100% of the wind farm rating, with the optimal amount of CAES equal to 0-35% of the wind farm rating, depending heavily on wind resource, value of electricity in the local market, and the cost of natural gas.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 37 (2009)
    Issue (Month): 8 (August)
    Pages: 3149-3158

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    Handle: RePEc:eee:enepol:v:37:y:2009:i:8:p:3149-3158

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    Web page: http://www.elsevier.com/locate/enpol

    Related research

    Keywords: Wind Energy storage Transmission;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in traditional electric power systems," Energy Policy, Elsevier, vol. 35(5), pages 2852-2861, May.
    2. Sioshansi, Ramteen & Denholm, Paul & Jenkin, Thomas & Weiss, Jurgen, 2009. "Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects," Energy Economics, Elsevier, vol. 31(2), pages 269-277, March.
    3. Greenblatt, Jeffery B. & Succar, Samir & Denkenberger, David C. & Williams, Robert H. & Socolow, Robert H., 2007. "Baseload wind energy: modeling the competition between gas turbines and compressed air energy storage for supplemental generation," Energy Policy, Elsevier, vol. 35(3), pages 1474-1492, March.
    4. DeCarolis, Joseph F. & Keith, David W., 2006. "The economics of large-scale wind power in a carbon constrained world," Energy Policy, Elsevier, vol. 34(4), pages 395-410, March.
    5. Walawalkar, Rahul & Apt, Jay & Mancini, Rick, 2007. "Economics of electric energy storage for energy arbitrage and regulation in New York," Energy Policy, Elsevier, vol. 35(4), pages 2558-2568, April.
    6. Denholm, Paul, 2006. "Improving the technical, environmental and social performance of wind energy systems using biomass-based energy storage," Renewable Energy, Elsevier, vol. 31(9), pages 1355-1370.
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    Citations

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    Cited by:
    1. Fertig, Emily & Apt, Jay, 2011. "Economics of compressed air energy storage to integrate wind power: A case study in ERCOT," Energy Policy, Elsevier, vol. 39(5), pages 2330-2342, May.
    2. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    3. Pattanariyankool, Sompop & Lave, Lester B., 2010. "Optimizing transmission from distant wind farms," Energy Policy, Elsevier, vol. 38(6), pages 2806-2815, June.
    4. Carson, Richard T. & Novan, Kevin, 2013. "The private and social economics of bulk electricity storage," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 404-423.
    5. Yang Gu & James McCalley & Ming Ni & Rui Bo, 2013. "Economic Modeling of Compressed Air Energy Storage," Energies, MDPI, Open Access Journal, vol. 6(4), pages 2221-2241, April.
    6. Tuohy, A. & O'Malley, M., 2011. "Pumped storage in systems with very high wind penetration," Energy Policy, Elsevier, vol. 39(4), pages 1965-1974, April.
    7. Xian He & Erik Delarue & William D'haeseleer & Jean-Michel Glachant, 2010. "A Novel Business Model for Aggregating the Values of Electricity Storage," RSCAS Working Papers 2010/82, European University Institute.
    8. Wolf-Peter Schill, 2013. "Residual Load, Renewable Surplus Generation and Storage Requirements in Germany," Discussion Papers of DIW Berlin 1316, DIW Berlin, German Institute for Economic Research.
    9. Loisel, Rodica & Mercier, Arnaud & Gatzen, Christoph & Elms, Nick & Petric, Hrvoje, 2010. "Valuation framework for large scale electricity storage in a case with wind curtailment," Energy Policy, Elsevier, vol. 38(11), pages 7323-7337, November.
    10. Lamy, Julian & Azevedo, Inês L. & Jaramillo, Paulina, 2014. "The role of energy storage in accessing remote wind resources in the Midwest," Energy Policy, Elsevier, vol. 68(C), pages 123-131.
    11. Moreno, Fermín & Martínez-Val, José M., 2011. "Collateral effects of renewable energies deployment in Spain: Impact on thermal power plants performance and management," Energy Policy, Elsevier, vol. 39(10), pages 6561-6574, October.
    12. Delucchi, Mark A. & Jacobson, Mark Z., 2011. "Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies," Energy Policy, Elsevier, vol. 39(3), pages 1170-1190, March.

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