IDEAS home Printed from https://ideas.repec.org/a/eee/jelect/v22y2009i3p29-41.html
   My bibliography  Save this article

How Green Is the Smart Grid?

Author

Listed:
  • Hledik, Ryan

Abstract

A simulation of the U.S. power system suggests that both conservative and more technologically aggressive implementations of a smart grid would produce a significant reduction in power sector carbon emissions at the national level. A conservative approach could reduce annual CO2 emissions by 5 percent by 2030, while the more aggressive approach could lead to a reduction of nearly 16 percent by 2030.

Suggested Citation

  • Hledik, Ryan, 2009. "How Green Is the Smart Grid?," The Electricity Journal, Elsevier, vol. 22(3), pages 29-41, April.
  • Handle: RePEc:eee:jelect:v:22:y:2009:i:3:p:29-41
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1040-6190(09)00060-8
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Wichman, Casey J., 2016. "Incentives, green preferences, and private provision of impure public goods," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 208-220.
    2. Hu, Zhaoguang & Tan, Xiandong & Yang, Fan & Yang, Ming & Wen, Quan & Shan, Baoguo & Han, Xinyang, 2010. "Integrated resource strategic planning: Case study of energy efficiency in the Chinese power sector," Energy Policy, Elsevier, vol. 38(11), pages 6391-6397, November.
    3. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    4. repec:pal:jorsoc:v:68:y:2017:i:10:d:10.1057_s41274-016-0149-4 is not listed on IDEAS
    5. Lopes, Marta A.R. & Henggeler Antunes, Carlos & Janda, Kathryn B. & Peixoto, Paulo & Martins, Nelson, 2016. "The potential of energy behaviours in a smart(er) grid: Policy implications from a Portuguese exploratory study," Energy Policy, Elsevier, vol. 90(C), pages 233-245.
    6. Blumsack, Seth & Fernandez, Alisha, 2012. "Ready or not, here comes the smart grid!," Energy, Elsevier, vol. 37(1), pages 61-68.
    7. Satchwell, Andrew & Hledik, Ryan, 2014. "Analytical frameworks to incorporate demand response in long-term resource planning," Utilities Policy, Elsevier, vol. 28(C), pages 73-81.
    8. Lin, Chen-Chun & Yang, Chia-Han & Shyua, Joseph Z., 2013. "A comparison of innovation policy in the smart grid industry across the pacific: China and the USA," Energy Policy, Elsevier, vol. 57(C), pages 119-132.
    9. repec:spr:infosf:v:15:y:2013:i:5:d:10.1007_s10796-013-9414-0 is not listed on IDEAS
    10. Kuznetsova, Elizaveta & Li, Yan-Fu & Ruiz, Carlos & Zio, Enrico, 2014. "An integrated framework of agent-based modelling and robust optimization for microgrid energy management," Applied Energy, Elsevier, vol. 129(C), pages 70-88.
    11. James Carroll & Seán Lyons & Eleanor Denny, 2013. "Reducing Electricity Demand through Smart Metering: The Role of Improved Household Knowledge," Trinity Economics Papers tep0313, Trinity College Dublin, Department of Economics.
    12. Kim, Sung Tai & Lim, Byung In & Park, Wan Kyu & Kim, Myoung Kyu & Son, Sung-Yong, 2016. "An analysis on the effectiveness of a smart grid test-bed project: The Korean case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 868-875.
    13. Carrie Armel, K. & Gupta, Abhay & Shrimali, Gireesh & Albert, Adrian, 2013. "Is disaggregation the holy grail of energy efficiency? The case of electricity," Energy Policy, Elsevier, vol. 52(C), pages 213-234.
    14. Galo, Joaquim J.M. & Macedo, Maria N.Q. & Almeida, Luiz A.L. & Lima, Antonio C.C., 2014. "Criteria for smart grid deployment in Brazil by applying the Delphi method," Energy, Elsevier, vol. 70(C), pages 605-611.
    15. Yanshan Yu & Jin Yang & Bin Chen, 2012. "The Smart Grids in China—A Review," Energies, MDPI, Open Access Journal, vol. 5(5), pages 1-18, May.
    16. Buryk, Stephen & Mead, Doug & Mourato, Susana & Torriti, Jacopo, 2015. "Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure," Energy Policy, Elsevier, vol. 80(C), pages 190-195.
    17. Carroll, James & Lyons, Seán & Denny, Eleanor, 2014. "Reducing household electricity demand through smart metering: The role of improved information about energy saving," Energy Economics, Elsevier, vol. 45(C), pages 234-243.

    More about this item

    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:eee:jelect:v:22:y:2009:i:3:p:29-41. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600875/description#description .

    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.

    We have no references for this item. You can help adding them by using 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.