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Impact of Smart Grid Technologies on Peak Load to 2050

Author

Listed:
  • Steve Heinen

    (International Energy Agency)

  • David Elzinga

    (International Energy Agency)

  • Seul-Ki Kim

    (International Energy Agency)

  • Yuichi Ikeda

    (International Energy Agency)

Abstract

The IEA’s Smart Grids Technology Roadmap released on 4th April 2011, identified five global trends that could be effectively addressed by deploying smart grids. These are: increasing peak load (the maximum power that the grid delivers during peak hours), rising electricity consumption, electrification of transport, deployment of variable generation technologies (e.g. wind and solar PV) and ageing infrastructure. Along with this roadmap, a new working paper – Impact of Smart Grid Technologies on Peak Load to 2050 – develops a methodology to estimate the evolution of peak load until 2050. It also analyses the impact of smart grid technologies in reducing peak load for four key regions; OECD North America, OECD Europe, OECD Pacific and China. This working paper is a first IEA effort in an evolving modelling process of smart grids that is considering demand response in residential and commercial sectors as well as the integration of electric vehicles.

Suggested Citation

  • Steve Heinen & David Elzinga & Seul-Ki Kim & Yuichi Ikeda, 2011. "Impact of Smart Grid Technologies on Peak Load to 2050," IEA Energy Papers 2011/11, OECD Publishing.
    • Handle: RePEc:oec:ieaaaa:2011/11-en
    DOI: 10.1787/5kg5dlknt48s-en
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    Cited by:

    1. Sivaneasan, Balakrishnan & Kandasamy, Nandha Kumar & Lim, May Lin & Goh, Kwang Ping, 2018. "A new demand response algorithm for solar PV intermittency management," Applied Energy, Elsevier, vol. 218(C), pages 36-45.
    2. Johnson, Nils & Strubegger, Manfred & McPherson, Madeleine & Parkinson, Simon C. & Krey, Volker & Sullivan, Patrick, 2017. "A reduced-form approach for representing the impacts of wind and solar PV deployment on the structure and operation of the electricity system," Energy Economics, Elsevier, vol. 64(C), pages 651-664.
    3. Tohid Harighi & Ramazan Bayindir & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Eklas Hossain, 2018. "An Overview of Energy Scenarios, Storage Systems and the Infrastructure for Vehicle-to-Grid Technology," Energies, MDPI, vol. 11(8), pages 1-18, August.
    4. Kim, Min Jae & Kim, Tong Seop, 2017. "Feasibility study on the influence of steam injection in the compressed air energy storage system," Energy, Elsevier, vol. 141(C), pages 239-249.
    5. Tilocca, Giuseppe & Sánchez, David & Torres-García, Miguel, 2024. "Applying the root cause analysis methodology to study the lack of market success of micro gas turbine systems," Applied Energy, Elsevier, vol. 360(C).
    6. Aryandoust, Arsam & Lilliestam, Johan, 2017. "The potential and usefulness of demand response to provide electricity system services," Applied Energy, Elsevier, vol. 204(C), pages 749-766.
    7. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
    8. Yuichi Ikeda, 2020. "Power grid with 100% renewable energy for small island developing states," Evolutionary and Institutional Economics Review, Springer, vol. 17(1), pages 183-195, January.

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