IDEAS home Printed from https://ideas.repec.org/a/pkp/ijseer/v11y2022i1p1-22id2928.html
   My bibliography  Save this article

Evaluation of Resources and Potential Measurement of Wind Energy to Determine the Spatial Priorities for the Construction of Wind-Driven Power Plants in Damghan City

Author

Listed:
  • Rahim Zahedi
  • Abolfazl Ahmadi
  • Reza Eskandarpanah
  • Mohammadhossein Akbari

Abstract

The rate of energy consumption is increasing worldwide due mainly to economic advancement and population growth. As a result, renewable energy sources have gained unprecedented popularity. Wind power has attracted much attention recently as it is economical and does not create environmental pollution. One vital factor that must be considered in the construction of a wind-driven power plant is the selection of a suitable location. Location choice is highly dependent upon the outcome of investigating a potential construction site. This research, along with investigating the effectiveness of parameters for determining a potential location, aims to explore the elements that play a major role in identifying and selecting an optimal wind farm site. The most suitable locations for the construction of wind farms in the city of Damghan were identified and selected through analyzing and integrating maps using GIS software. Within the whole Damghan city area, about 2,240 km2, which comprises 16% of the city’s area has been identified as suitable for establishing wind-driven power plants. By considering the relevant elements and keeping an appropriate distance between the plants to avoid power reduction, it is estimated that a total energy output of about 1,000 MW can be produced by wind-driven power plants in this city.

Suggested Citation

  • Rahim Zahedi & Abolfazl Ahmadi & Reza Eskandarpanah & Mohammadhossein Akbari, 2022. "Evaluation of Resources and Potential Measurement of Wind Energy to Determine the Spatial Priorities for the Construction of Wind-Driven Power Plants in Damghan City," International Journal of Sustainable Energy and Environmental Research, Conscientia Beam, vol. 11(1), pages 1-22.
    • Handle: RePEc:pkp:ijseer:v:11:y:2022:i:1:p:1-22:id:2928
    as

    Download full text from publisher

    File URL: https://archive.conscientiabeam.com/index.php/13/article/view/2928/5091
    Download Restriction: no
    File URL: https://archive.conscientiabeam.com/index.php/13/article/view/2928/5850
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Mohammad Mahdi Forootan & Iman Larki & Rahim Zahedi & Abolfazl Ahmadi, 2022. "Machine Learning and Deep Learning in Energy Systems: A Review," Sustainability, MDPI, vol. 14(8), pages 1-49, April.
    2. Patrycjusz Zarębski & Dominik Katarzyński, 2023. "Small Modular Reactors (SMRs) as a Solution for Renewable Energy Gaps: Spatial Analysis for Polish Strategy," Energies, MDPI, vol. 16(18), pages 1-23, September.

    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:pkp:ijseer:v:11:y:2022:i:1:p:1-22:id:2928. 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: Dim Michael (email available below). General contact details of provider: https://archive.conscientiabeam.com/index.php/13/ .

    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.