IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v170y2021icp1156-1177.html
   My bibliography  Save this article

Assessment of renewable energy resources using new interval rough number extension of the level based weight assessment and combinative distance-based assessment

Author

Listed:
  • Ecer, Fatih
  • Pamucar, Dragan
  • Mardani, Abbas
  • Alrasheedi, Melfi

Abstract

Renewable Energy Resources (RERs) are becoming increasingly significant for energy generation and will have vital for the future of humans, earth, and other living things. Due to the negative environmental impacts of fossil fuels, the authorities have taken RERs into account further. As a result, the present study extended a novel model using the Level Based Weight Assessment (LBWA) model based on in Interval Rough Number (IRN) extension of the Combinative Distance-Based Assessment (CODAS) method to cope with uncertain domain-based RER selection. A survey method using literature review and interview has been conducted to find and select appropriate perspectives and criteria; in this regard, the selected criteria were classified based on four groups, including socio-political, environmental, economic, and technical. Five sources of renewable energy, including solar energy, biomass energy, wind energy, hydropower energy, and geothermal energy, are evaluated in Turkey. The results of the extended IRN CODAS approach demonstrated that hydropower energy had the first rank among other sources, followed by solar energy, geothermal energy, biomass energy, and wind energy. In the application of the suggested model, the most suitable RER alternative is determined for Turkey. The results of this study showed the effectiveness, efficiency, and capability of the proposed methodology in the assessment of RERs.

Suggested Citation

  • Ecer, Fatih & Pamucar, Dragan & Mardani, Abbas & Alrasheedi, Melfi, 2021. "Assessment of renewable energy resources using new interval rough number extension of the level based weight assessment and combinative distance-based assessment," Renewable Energy, Elsevier, vol. 170(C), pages 1156-1177.
    • Handle: RePEc:eee:renene:v:170:y:2021:i:c:p:1156-1177
    DOI: 10.1016/j.renene.2021.02.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121001683
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.02.004?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
    ---><---

    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. Engin Çakır & Gökhan Akel, 2022. "Prioritization of the Theme Park Satisfaction Criteria with Multi-Criteria Decision-Making Method: Level Based Weight Assessment Model," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(2), pages 105-126, December.
    2. Gao, Ruxing & Wang, Lei & Zhang, Leiyu & Zhang, Chundong & Jun, Ki-Won & Kim, Seok Ki & Zhao, Tiansheng & Wan, Hui & Guan, Guofeng & Zhu, Yuezhao, 2023. "A multi-criteria sustainability assessment and decision-making framework for DME synthesis via CO2 hydrogenation," Energy, Elsevier, vol. 275(C).
    3. Rahadian Dadan & Firli Anisah & Dinçer Hasan & Yüksel Serhat & Hacıoğlu Ümit & Gherghina Ştefan Cristian & Aksoy Tamer, 2023. "An Evaluation of E7 Countries’ Sustainable Energy Investments: A Decision-Making Approach with Spherical Fuzzy Sets," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 17(1), pages 1-21, January.
    4. Liu, Xu & Guo, Yang & Dasgupta, Anish & He, Haoran & Xu, Donghai & Guan, Qingqing, 2022. "Algal bio-oil refinery: A review of heterogeneously catalyzed denitrogenation and demetallization reactions for renewable process," Renewable Energy, Elsevier, vol. 183(C), pages 627-650.
    5. Sibnath Deb & Samarjit Kar & Shayana Deb & Sanjib Biswas & Aehsan Ahmad Dar & Tusharika Mukherjee, 2022. "A Cross-Sectional Study on Mental Health of School Students during the COVID-19 Pandemic in India," Data, MDPI, vol. 7(7), pages 1-27, July.
    6. Torkayesh, Ali Ebadi & Pamucar, Dragan & Ecer, Fatih & Chatterjee, Prasenjit, 2021. "An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    7. Torkayesh, Ali Ebadi & Torkayesh, Sajjad Ebadi, 2021. "Evaluation of information and communication technology development in G7 countries: An integrated MCDM approach," Technology in Society, Elsevier, vol. 66(C).

    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:renene:v:170:y:2021:i:c:p:1156-1177. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.