IDEAS home Printed from https://ideas.repec.org/p/rsc/rsceui/2010-82.html
   My bibliography  Save this paper

A Novel Business Model for Aggregating the Values of Electricity Storage

Author

Listed:
  • Xian He
  • Erik Delarue
  • William D'haeseleer
  • Jean-Michel Glachant

Abstract

Electricity storage is considered a valuable source of flexibility whose applications cover the whole electricity value chain. However, most of the existing evaluation methods for electricity storage are conceived for only one specific use of the storage, which often leads to the conclusion that the investment on storage does not pay off. We think that the value of storage cannot be properly estimated without taking into account the possibility of aggregating the services that storage can offer to different actors. In this paper, we propose a new business model that allows aggregating multiple revenue streams of electricity storage in a systematic way. The main idea of the business model is to coordinate a series of auctions in which the right to utilize the storage unit is auctioned in different time horizons. The model consists of an optimization module and a coordination mechanism. The former simulates the optimal strategy of a certain actor using the available storage capacities in a certain auction, while the latter ensures non-conflicting uses of storage by actors in different auctions. The functioning of the model is demonstrated by a case study. The results show that a storage unit can achieve a higher return on investment in the manner proposed in the business model.

Suggested Citation

  • 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.
  • Handle: RePEc:rsc:rsceui:2010/82
    as

    Download full text from publisher

    File URL: http://cadmus.eui.eu/bitstream/handle/1814/14994/RSCAS_2010_82.pdf
    File Function: Full text
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Denholm, Paul & Sioshansi, Ramteen, 2009. "The value of compressed air energy storage with wind in transmission-constrained electric power systems," Energy Policy, Elsevier, vol. 37(8), pages 3149-3158, August.
    2. Ramteen Sioshansi, 2010. "Welfare Impacts of Electricity Storage and the Implications of Ownership Structure," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 173-198.
    3. Kapsali, M. & Kaldellis, J.K., 2010. "Combining hydro and variable wind power generation by means of pumped-storage under economically viable terms," Applied Energy, Elsevier, vol. 87(11), pages 3475-3485, November.
    4. 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.
    5. 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.
    6. Muche, Thomas, 2009. "A real option-based simulation model to evaluate investments in pump storage plants," Energy Policy, Elsevier, vol. 37(11), pages 4851-4862, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jesús Rodríguez-Molina & Margarita Martínez-Núñez & José-Fernán Martínez & Waldo Pérez-Aguiar, 2014. "Business Models in the Smart Grid: Challenges, Opportunities and Proposals for Prosumer Profitability," Energies, MDPI, Open Access Journal, vol. 7(9), pages 1-30, September.
    2. Muche, Thomas, 2014. "Optimal operation and forecasting policy for pump storage plants in day-ahead markets," Applied Energy, Elsevier, vol. 113(C), pages 1089-1099.
    3. Pedro Crespo Del Granado & Stein W. Wallace & Zhan Pang, 2016. "The impact of wind uncertainty on the strategic valuation of distributed electricity storage," Computational Management Science, Springer, vol. 13(1), pages 5-27, January.
    4. Moreno, Rodrigo & Moreira, Roberto & Strbac, Goran, 2015. "A MILP model for optimising multi-service portfolios of distributed energy storage," Applied Energy, Elsevier, vol. 137(C), pages 554-566.
    5. Fares, Robert L. & Meyers, Jeremy P. & Webber, Michael E., 2014. "A dynamic model-based estimate of the value of a vanadium redox flow battery for frequency regulation in Texas," Applied Energy, Elsevier, vol. 113(C), pages 189-198.
    6. Richter, Mario, 2013. "German utilities and distributed PV: How to overcome barriers to business model innovation," Renewable Energy, Elsevier, vol. 55(C), pages 456-466.
    7. Ramteen Sioshansi & Paul Denholm & Thomas Jenkin, 2012. "Market and Policy Barriers to Deployment of Energy Storage," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    8. Tom Brijs & Daniel Huppmann & Sauleh Siddiqui & Ronnie Belmans, 2016. "Auction-Based Allocation of Shared Electricity Storage Resources through Physical Storage Rights," Discussion Papers of DIW Berlin 1566, DIW Berlin, German Institute for Economic Research.
    9. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    10. Taylor, Josh A. & Dhople, Sairaj V. & Callaway, Duncan S., 2016. "Power systems without fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1322-1336.
    11. repec:kap:regeco:v:52:y:2017:i:1:d:10.1007_s11149-017-9327-9 is not listed on IDEAS
    12. Zucker, Andreas & Hinchliffe, Timothée, 2014. "Optimum sizing of PV-attached electricity storage according to power market signals – A case study for Germany and Italy," Applied Energy, Elsevier, vol. 127(C), pages 141-155.
    13. Rious, Vincent & Perez, Yannick, 2014. "Review of supporting scheme for island powersystem storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 754-765.
    14. Hall, Stephen & Roelich, Katy, 2016. "Business model innovation in electricity supply markets: The role of complex value in the United Kingdom," Energy Policy, Elsevier, vol. 92(C), pages 286-298.
    15. Barbour, Edward & Wilson, I.A. Grant & Radcliffe, Jonathan & Ding, Yulong & Li, Yongliang, 2016. "A review of pumped hydro energy storage development in significant international electricity markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 421-432.
    16. repec:eee:rensus:v:81:y:2018:i:p1:p:1049-1086 is not listed on IDEAS
    17. Tom Brijs & Frederik Geth & Sauleh Siddiqui & Benjamin F. Hobbs & Ronnie Belmans, 2016. "Price-Based Unit Commitment Electricity Storage Arbitrage with Piecewise Linear Price-Effects," Discussion Papers of DIW Berlin 1567, DIW Berlin, German Institute for Economic Research.
    18. Kondziella, Hendrik & Bruckner, Thomas, 2016. "Flexibility requirements of renewable energy based electricity systems – a review of research results and methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 10-22.
    19. Fares, Robert L. & Webber, Michael E., 2014. "A flexible model for economic operational management of grid battery energy storage," Energy, Elsevier, vol. 78(C), pages 768-776.
    20. Richter, Mario, 2013. "Business model innovation for sustainable energy: German utilities and renewable energy," Energy Policy, Elsevier, vol. 62(C), pages 1226-1237.
    21. González-Aparicio, I. & Zucker, A., 2015. "Impact of wind power uncertainty forecasting on the market integration of wind energy in Spain," Applied Energy, Elsevier, vol. 159(C), pages 334-349.

    More about this item

    Keywords

    electricity storage; business model; optimization;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rsc:rsceui:2010/82. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (RSCAS web unit). General contact details of provider: http://edirc.repec.org/data/rsiueit.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.