IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v17y2022ip1319-1337..html
   My bibliography  Save this article

Optimal site selection for wind power plant using multi-criteria decision-making methods: A case study in eastern Iran
[Selection of optimal location and design of a stand-alone photovoltaic scheme using a modified hybrid methodology]

Author

Listed:
  • Seyed Mohammad Seyed Alavi
  • Akbar Maleki
  • Ali Khaleghi

Abstract

Sustainable and renewable energy resources will play a significant role in the future of the 21st century. One of the most significant resources of sustainable energy is wind energy. Therefore, detection of the potential locations and selection of the optimal place to find a wind farm are a primary step toward using sustainable energy resources. In this research, the feasibility of establishing wind farms in three provinces in the east and north-east parts of Iran is studied using multiple criteria decision-making methods. Fifty proposed options to build a wind farm are ranked based on 13 effective criteria, including area, distance to power lines, distance to the substation, distance to a road, estimated capacity, distance to the city, altitude, population, population density, annual rainfall, average temperature, average wind speed and relative humidity by applying Shannon entropy weighting technique and using three methods of the simple additive weighting (SAW), technique for order of preference by similarity to ideal solution (TOPSIS) and elimination and choice translating reality (ELECTRE). Shannon entropy weighting technique reveals that the criteria of distance to power transmission lines and relative humidity will have the most and least weights, respectively. The ranking results show that, based on the TOPSIS and ELECTRE methods, Gezi Bojnourd option is the best site and Neishabour Hesar Yazdan case is the worst site. Furthermore, Bashirabad Torbatjam case is the most desirable site in the SAW method. The sensitivity analysis results show that the minimum sensitivity to the criteria weights is recorded in the SAW method. On the contrary, ELECTRE method offers the most sensitivity and variation in ranking.

Suggested Citation

  • Seyed Mohammad Seyed Alavi & Akbar Maleki & Ali Khaleghi, 2022. "Optimal site selection for wind power plant using multi-criteria decision-making methods: A case study in eastern Iran [Selection of optimal location and design of a stand-alone photovoltaic scheme," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 1319-1337.
    • Handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:1319-1337.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctac009
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    References listed on IDEAS

    as
    1. Weiping Zhang & Akbar Maleki & Ali Komeili Birjandi & Mohammad Alhuyi Nazari & Omid Mohammadi, 2021. "Discrete optimization algorithm for optimal design of a solar/wind/battery hybrid energy conversion scheme [Design and optimization of autonomous solar-wind-reverse osmosis desalination systems cou," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(2), pages 326-340.
    2. Sabziparvar, Ali A. & Shetaee, H., 2007. "Estimation of global solar radiation in arid and semi-arid climates of East and West Iran," Energy, Elsevier, vol. 32(5), pages 649-655.
    3. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2014. "Identification and selection of potential sites for onshore wind farms development in Region of Murcia, Spain," Energy, Elsevier, vol. 73(C), pages 311-324.
    4. Bahlawan, Hilal & Morini, Mirko & Pinelli, Michele & Poganietz, Witold-Roger & Spina, Pier Ruggero & Venturini, Mauro, 2019. "Optimization of a hybrid energy plant by integrating the cumulative energy demand," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari & Farabi-Asl, Hadi, 2018. "A comprehensive approach for wind power plant potential assessment, application to northwestern Iran," Energy, Elsevier, vol. 164(C), pages 344-358.
    6. Mohammad Hossein Rezaei & Milad Sadeghzadeh & Mohammad Alhuyi Nazari & Mohammad Hossein Ahmadi & Fatemeh Razi Astaraei, 2018. "Applying GMDH artificial neural network in modeling CO2 emissions in four nordic countries," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(3), pages 266-271.
    7. Sánchez-Lozano, Juan M. & Teruel-Solano, Jerónimo & Soto-Elvira, Pedro L. & Socorro García-Cascales, M., 2013. "Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 544-556.
    8. Yang, Kun & Zhu, Neng & Chang, Chen & Wang, Daquan & Yang, Shan & Ma, Shengming, 2018. "A methodological concept for phase change material selection based on multi-criteria decision making (MCDM): A case study," Energy, Elsevier, vol. 165(PB), pages 1085-1096.
    9. Ozgur, M. Arif, 2008. "Review of Turkey's renewable energy potential," Renewable Energy, Elsevier, vol. 33(11), pages 2345-2356.
    10. Aleixandre-Tudó, José Luis & Castelló-Cogollos, Lourdes & Aleixandre, José Luis & Aleixandre-Benavent, Rafael, 2019. "Renewable energies: Worldwide trends in research, funding and international collaboration," Renewable Energy, Elsevier, vol. 139(C), pages 268-278.
    11. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.
    12. Diemuodeke, E.O. & Addo, A. & Oko, C.O.C. & Mulugetta, Y. & Ojapah, M.M., 2019. "Optimal mapping of hybrid renewable energy systems for locations using multi-criteria decision-making algorithm," Renewable Energy, Elsevier, vol. 134(C), pages 461-477.
    13. Satkin, Mohammad & Noorollahi, Younes & Abbaspour, Majid & Yousefi, Hossein, 2014. "Multi criteria site selection model for wind-compressed air energy storage power plants in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 579-590.
    14. Akbar Maleki, 2018. "Modeling and optimum design of an off-grid PV/WT/FC/diesel hybrid system considering different fuel prices," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(2), pages 140-147.
    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. Chia-Nan Wang & Yu-Chi Chung & Fajar Dwi Wibowo & Thanh-Tuan Dang & Ngoc-Ai-Thy Nguyen, 2023. "Site Selection of Solar Power Plants Using Hybrid MCDM Models: A Case Study in Indonesia," Energies, MDPI, vol. 16(10), pages 1-24, May.
    2. Meysam Asadi & Kazem Pourhossein & Younes Noorollahi & Mousa Marzband & Gregorio Iglesias, 2023. "A New Decision Framework for Hybrid Solar and Wind Power Plant Site Selection Using Linear Regression Modeling Based on GIS-AHP," Sustainability, MDPI, vol. 15(10), pages 1-24, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shao, Meng & Han, Zhixin & Sun, Jinwei & Xiao, Chengsi & Zhang, Shulei & Zhao, Yuanxu, 2020. "A review of multi-criteria decision making applications for renewable energy site selection," Renewable Energy, Elsevier, vol. 157(C), pages 377-403.
    2. Meng Shao & Shulei Zhang & Jinwei Sun & Zhixin Han & Zhuxiao Shao & Chuanxiu Yi, 2022. "GIS-MCDM-Based Approach to Site Selection of Wave Power Plants for Islands in China," Energies, MDPI, vol. 15(11), pages 1-24, June.
    3. Xu, Ye & Li, Ye & Zheng, Lijun & Cui, Liang & Li, Sha & Li, Wei & Cai, Yanpeng, 2020. "Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian, China," Energy, Elsevier, vol. 207(C).
    4. Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.
    5. Younes Noorollahi & Mohammad Mohammadi & Hossein Yousefi & Amjad Anvari-Moghaddam, 2020. "A Spatial-Based Integration Model for Regional Scale Solar Energy Technical Potential," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    6. Konstantinos, Ioannou & Georgios, Tsantopoulos & Garyfalos, Arabatzis, 2019. "A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece," Energy Policy, Elsevier, vol. 132(C), pages 232-246.
    7. Ghorbani, Narges & Makian, Hamed & Breyer, Christian, 2019. "A GIS-based method to identify potential sites for pumped hydro energy storage - Case of Iran," Energy, Elsevier, vol. 169(C), pages 854-867.
    8. Asadi, Meysam & Ramezanzade, Mohsen & Pourhossein, Kazem, 2023. "A global evaluation model applied to wind power plant site selection," Applied Energy, Elsevier, vol. 336(C).
    9. Vrînceanu, Alexandra & Dumitrașcu, Monica & Kucsicsa, Gheorghe, 2022. "Site suitability for photovoltaic farms and current investment in Romania," Renewable Energy, Elsevier, vol. 187(C), pages 320-330.
    10. Yasir Ahmed Solangi & Qingmei Tan & Muhammad Waris Ali Khan & Nayyar Hussain Mirjat & Ifzal Ahmed, 2018. "The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application," Energies, MDPI, vol. 11(8), pages 1-26, July.
    11. Nzotcha, Urbain & Kenfack, Joseph & Blanche Manjia, Marceline, 2019. "Integrated multi-criteria decision making methodology for pumped hydro-energy storage plant site selection from a sustainable development perspective with an application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 930-947.
    12. Styliani Karamountzou & Dimitra G. Vagiona, 2023. "Suitability and Sustainability Assessment of Existing Onshore Wind Farms in Greece," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    13. Sofia Spyridonidou & Dimitra G. Vagiona, 2020. "Systematic Review of Site-Selection Processes in Onshore and Offshore Wind Energy Research," Energies, MDPI, vol. 13(22), pages 1-26, November.
    14. J. M. Sánchez-Lozano & F. J. Salmerón-Vera & C. Ros-Casajús, 2020. "Prioritization of Cartagena Coastal Military Batteries to Transform Them into Scientific, Tourist and Cultural Places of Interest: A GIS-MCDM Approach," Sustainability, MDPI, vol. 12(23), pages 1-16, November.
    15. Abdi, Ali & Astaraei, Fatemeh Razi & Rajabi, Nahid, 2024. "GIS-AHP-GAMS based analysis of wind and solar energy integration for addressing energy shortage in industries: A case study," Renewable Energy, Elsevier, vol. 225(C).
    16. Romero-Ramos, J.A. & Gil, J.D. & Cardemil, J.M. & Escobar, R.A. & Arias, I. & Pérez-García, M., 2023. "A GIS-AHP approach for determining the potential of solar energy to meet the thermal demand in southeastern Spain productive enclaves," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    17. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari & Farabi-Asl, Hadi, 2018. "A comprehensive approach for wind power plant potential assessment, application to northwestern Iran," Energy, Elsevier, vol. 164(C), pages 344-358.
    18. Sofia Spyridonidou & Georgia Sismani & Eva Loukogeorgaki & Dimitra G. Vagiona & Hagit Ulanovsky & Daniel Madar, 2021. "Sustainable Spatial Energy Planning of Large-Scale Wind and PV Farms in Israel: A Collaborative and Participatory Planning Approach," Energies, MDPI, vol. 14(3), pages 1-23, January.
    19. Zambrano-Asanza, S. & Quiros-Tortos, J. & Franco, John F., 2021. "Optimal site selection for photovoltaic power plants using a GIS-based multi-criteria decision making and spatial overlay with electric load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    20. Shao, Meng & Zhao, Yuanxu & Sun, Jinwei & Han, Zhixin & Shao, Zhuxiao, 2023. "A decision framework for tidal current power plant site selection based on GIS-MCDM: A case study in China," Energy, Elsevier, vol. 262(PB).

    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:oup:ijlctc:v:17:y:2022:i::p:1319-1337.. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.