IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5203961.html
   My bibliography  Save this article

Research on the Most Efficient Use of Wind Energy Resources in the Context of Carbon Neutrality: Overview Based on Evolutionary Algorithm

Author

Listed:
  • Qianqian Zhao
  • Haowen Yan
  • Jianglei Jin
  • Naeem Jan

Abstract

An evolutionary algorithm-based optimal allocation method of wind resources under the background of carbon neutralization is proposed in order to better achieve the goal of energy conservation and emission reduction under the background of carbon neutralization, aiming at the current unreasonable allocation of wind resources. The evaluation model of balanced wind resource allocation is designed, and the evaluation index of optimal wind resource allocation is constructed using the evolutionary algorithm. The optimal allocation path of wind energy resources is chosen to achieve the goal of reasonable wind energy resource allocation. Finally, simulation experiments show that using an evolutionary algorithm to solve the problem of poor energy allocation and achieve the research goal, the optimal allocation method of wind energy resources under the background of carbon neutralization can effectively solve the problem of poor energy allocation.

Suggested Citation

  • Qianqian Zhao & Haowen Yan & Jianglei Jin & Naeem Jan, 2022. "Research on the Most Efficient Use of Wind Energy Resources in the Context of Carbon Neutrality: Overview Based on Evolutionary Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, June.
  • Handle: RePEc:hin:jnlmpe:5203961
    DOI: 10.1155/2022/5203961
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5203961.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5203961.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5203961?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:hin:jnlmpe:5203961. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.