IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2021-03-9.html
   My bibliography  Save this article

An Integrated Approach for Renewable Energy Resource and Plant Location Selection

Author

Listed:
  • Mahammad Nuriyev

    (Department of Economics and Management, Khazar University, Baku, Azerbaijan)

Abstract

Renewable energy resources ranking, and power plant location selection are multi-criteria decision-making (MCDM) problems. These problems can be solved as two-phase decision-making tasks separately and sequentially or, in a unified form, as a single-step task. In this paper, we are studying the efficiency and applicability of the unified approach based on fuzzy and Z-information, and TOPSIS technique. Alternatives for the single-step approach are generated based on renewables available in the country and potential geographical locations for these resources. Considering the importance of weights in MCDM and the multiplicity of approaches to criteria weighting, subjective, objective, AHP-based, and combination of the subjective and objective weights are used for decision matrix weighting. Comparative analysis of the solutions, based on various weights, allows making a reliable solution. The results of the study and problem solution confirm the efficiency and applicability of the combined approach. The advantage of the unified single step solution is that this approach, in addition to the solution of the main task, provides to decision-maker additional information about preferable next best renewable and location option as well.

Suggested Citation

  • Mahammad Nuriyev, 2021. "An Integrated Approach for Renewable Energy Resource and Plant Location Selection," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 64-72.
  • Handle: RePEc:eco:journ2:2021-03-9
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/10880/5786
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/10880/5786
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    2. Mohammad Alhuyi Nazari & Alireza Aslani & Roghayeh Ghasempour, 2018. "Analysis of Solar Farm Site Selection Based on TOPSIS Approach," International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global, vol. 9(1), pages 12-25, January.
    3. Feng Wang & Junjun Mao, 2019. "Approach to Multicriteria Group Decision Making with Z-Numbers Based on TOPSIS and Power Aggregation Operators," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-18, July.
    4. Esra Karaka & Ozan Veli Y ld ran, 2019. "Evaluation of Renewable Energy Alternatives for Turkey via Modified Fuzzy AHP," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 31-39.
    5. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    6. Stein, Eric W., 2013. "A comprehensive multi-criteria model to rank electric energy production technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 640-654.
    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. Christian Moreno & Adalberto Ospino-Castro & Carlos Robles-Algar n, 2022. "Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 79-87, September.

    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. Mahammad Nuriyev, 2020. "Fuzzy Information and Z-number-based Approaches to Energy Resource Selection," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 392-398.
    2. María Carmen Carnero, 2020. "Fuzzy TOPSIS Model for Assessment of Environmental Sustainability: A Case Study with Patient Judgements," Mathematics, MDPI, vol. 8(11), pages 1-43, November.
    3. Almalky,, 2020. "An Integrated Multi‐Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability," OSF Preprints 3cg8j, Center for Open Science.
    4. Movin Sequeira & Anders Adlemo & Per Hilletofth, 2023. "A hybrid fuzzy-AHP-TOPSIS model for evaluation of manufacturing relocation decisions," Operations Management Research, Springer, vol. 16(1), pages 164-191, March.
    5. Shubham Gupta & Raghav Khanna & Pranay Kohli & Sarthak Agnihotri & Umang Soni & M. Asjad, 2023. "Risk evaluation of electric vehicle charging infrastructure using Fuzzy AHP – a case study in India," Operations Management Research, Springer, vol. 16(1), pages 245-258, March.
    6. Büyüközkan, Gülçin & Feyzioglu, Orhan & Nebol, Erdal, 2008. "Selection of the strategic alliance partner in logistics value chain," International Journal of Production Economics, Elsevier, vol. 113(1), pages 148-158, May.
    7. Zhang, Long & Bai, Wuliyasu & Xiao, Huijuan & Ren, Jingzheng, 2021. "Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis," Energy, Elsevier, vol. 227(C).
    8. Mukherjee, Krishnendu & Sarkar, Bijon & Bhattacharyya, Ardhendu, 2012. "Supplier selection by F-compromise method: a case study of cement industry of NE India," MPRA Paper 57786, University Library of Munich, Germany, revised 2013.
    9. Hashemizadeh, Ali & Ju, Yanbing & Bamakan, Seyed Mojtaba Hosseini & Le, Hoang Phong, 2021. "Renewable energy investment risk assessment in belt and road initiative countries under uncertainty conditions," Energy, Elsevier, vol. 214(C).
    10. Mohammad Ebrahim Banihabib & Mohammad Hadi Shabestari, 2017. "Fuzzy Hybrid MCDM Model for Ranking the Agricultural Water Demand Management Strategies in Arid Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 495-513, January.
    11. Shuang Yao & Donghua Yu & Yan Song & Hao Yao & Yuzhen Hu & Benhai Guo, 2018. "Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain," Sustainability, MDPI, vol. 10(12), pages 1-19, November.
    12. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    13. Scott, James & Ho, William & Dey, Prasanta K. & Talluri, Srinivas, 2015. "A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 226-237.
    14. Pasura Aungkulanon & Walailak Atthirawong & Pongchanun Luangpaiboon & Wirachchaya Chanpuypetch, 2024. "Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection," Mathematics, MDPI, vol. 12(10), pages 1-41, May.
    15. Ishizaka, Alessio & Siraj, Sajid & Nemery, Philippe, 2016. "Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool," Energy, Elsevier, vol. 95(C), pages 602-611.
    16. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    17. Juan Carlos Martín & Veronika Rudchenko & María-Victoria Sánchez-Rebull, 2020. "The Role of Nationality and Hotel Class on Guests’ Satisfaction. A Fuzzy-TOPSIS Approach Applied in Saint Petersburg," Administrative Sciences, MDPI, vol. 10(3), pages 1-24, September.
    18. Jelena Lukić & Mirjana Misita & Dragan D. Milanović & Ankica Borota-Tišma & Aleksandra Janković, 2022. "Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    19. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    20. Sener, Can & Fthenakis, Vasilis, 2014. "Energy policy and financing options to achieve solar energy grid penetration targets: Accounting for external costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 854-868.

    More about this item

    Keywords

    renewables selection; multi-criteria decision; fuzzy and Z-information; plant location selection; criteria weights.;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • Q35 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Hydrocarbon Resources
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    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:eco:journ2:2021-03-9. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.