IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v226y2024ics0960148124004269.html
   My bibliography  Save this article

Sequential MCDM methods for site selection of hydroponic geothermal greenhouse: ENTROPY and ARAS

Author

Listed:
  • Yücenur, G. Nilay
  • Maden, Ayça

Abstract

With the increasing global population, there is a growing need for agricultural land and an associated impact on greenhouse activities. In response to issues of limited energy and natural resources, the use of hydroponic greenhouses that use renewable energy sources has become increasingly popular. Among these, the use of geothermal energy in hydroponic greenhouses has garnered particular attention. In this study, we propose a sequential solution method that incorporates the Entropy and ARAS methods for the location selection of hydroponic greenhouses heated by geothermal energy. The model considers 5 main criteria, and 21 sub-criteria, and evaluates five alternative cities in Turkey. The weighting of the criteria was established through the Entropy technique. Subsequently, the decision alternatives were ranked using the ARAS method. The results of the study revealed that Denizli province is the most appropriate location for the establishment of a hydroponic geothermal greenhouse in Turkey. The alternative cities of Aydin and Afyonkarahisar were found to be the second and third most suitable provinces respectively. This determination was made based on a thorough evaluation of various factors such as geothermal resources, land availability, and infrastructure. The results of the study align with Turkey's potential for using geothermal energy and its existing greenhouse areas. This study highlights the potential for using geothermal energy in the cultivation of crops in Turkey and suggests that the establishment of hydroponic geothermal greenhouses in these provinces can be a viable and sustainable solution for increasing food production. The proposed sequential solution method may serve as a valuable tool for guiding investment decisions related to geothermal greenhouse applications in other countries.

Suggested Citation

  • Yücenur, G. Nilay & Maden, Ayça, 2024. "Sequential MCDM methods for site selection of hydroponic geothermal greenhouse: ENTROPY and ARAS," Renewable Energy, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:renene:v:226:y:2024:i:c:s0960148124004269
    DOI: 10.1016/j.renene.2024.120361
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124004269
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120361?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.

    References listed on IDEAS

    as
    1. Ceren Erdin & Gokhan Ozkaya, 2019. "Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
    2. Shortall, Ruth & Davidsdottir, Brynhildur & Axelsson, Guðni, 2015. "Geothermal energy for sustainable development: A review of sustainability impacts and assessment frameworks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 391-406.
    3. Vasilevska, Sanja Popovska & Gecevska, Valentina & Popovski, Kiril, 2011. "Geothermal energy-convenient heat source for renewal and new development of protected crop cultivation in Macedonia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2909-2920, August.
    4. Adaro, Jorge A. & Galimberti, Pablo D. & Lema, Alba I. & Fasulo, Amílcar & Barral, Jorge R., 1999. "Geothermal contribution to greenhouse heating," Applied Energy, Elsevier, vol. 64(1-4), pages 241-249, September.
    5. Zhu, Delong & Li, Zhe & Mishra, Arunodaya Raj, 2023. "Evaluation of the critical success factors of dynamic enterprise risk management in manufacturing SMEs using an integrated fuzzy decision-making model," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    6. Uk-Hyeon Yeo & Sang-Yeon Lee & Se-Jun Park & Jun-Gyu Kim & Jeong-Hwa Cho & Cristina Decano-Valentin & Rack-Woo Kim & In-Bok Lee, 2022. "Rooftop Greenhouse: (2) Analysis of Thermal Energy Loads of a Building-Integrated Rooftop Greenhouse (BiRTG) for Urban Agriculture," Agriculture, MDPI, vol. 12(6), pages 1-26, May.
    7. Jeon, Jeonghwan & Suvitha, Krishnan & Arshad, Noreen Izza & Kalaiselvan, Samayan & Narayanamoorthy, Samayan & Ferrara, Massimiliano & Ahmadian, Ali, 2023. "A probabilistic hesitant fuzzy MCDM approach to evaluate India’s intervention strategies against the COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    8. Ali Mostafaeipour & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahabaddin Hosseini Dehshiri & Mehdi Jahangiri & Kuaanan Techato, 2020. "A Thorough Analysis of Potential Geothermal Project Locations in Afghanistan," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    9. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
    Full references (including those not matched with items on IDEAS)

    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. Alkan, Ömer & Albayrak, Özlem Karadağ, 2020. "Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA," Renewable Energy, Elsevier, vol. 162(C), pages 712-726.
    2. Ezbakhe, Fatine & Pérez-Foguet, Agustí, 2021. "Decision analysis for sustainable development: The case of renewable energy planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 291(2), pages 601-613.
    3. Ali Mostafaeipour & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahabaddin Hosseini Dehshiri & Mehdi Jahangiri & Kuaanan Techato, 2020. "A Thorough Analysis of Potential Geothermal Project Locations in Afghanistan," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    4. Li, Tao & Li, Ang & Guo, Xiaopeng, 2020. "The sustainable development-oriented development and utilization of renewable energy industry——A comprehensive analysis of MCDM methods," Energy, Elsevier, vol. 212(C).
    5. Acaroğlu, Hakan & García Márquez, Fausto Pedro, 2022. "High voltage direct current systems through submarine cables for offshore wind farms: A life-cycle cost analysis with voltage source converters for bulk power transmission," Energy, Elsevier, vol. 249(C).
    6. Or, Bartu & Bilgin, Gozde & Akcay, Emre Caner & Dikmen, Irem & Birgonul, M. Talat, 2024. "Real options valuation of photovoltaic investments: A case from Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    7. Bilgili, Faik & Zarali, Fulya & Ilgün, Miraç Fatih & Dumrul, Cüneyt & Dumrul, Yasemin, 2022. "The evaluation of renewable energy alternatives for sustainable development in Turkey using ‌intuitionistic‌ ‌fuzzy‌-TOPSIS method," Renewable Energy, Elsevier, vol. 189(C), pages 1443-1458.
    8. Horasan, Muhammed Bilal & Kilic, Huseyin Selcuk, 2022. "A multi-objective decision-making model for renewable energy planning: The case of Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 484-504.
    9. Paula Donaduzzi Rigo & Graciele Rediske & Carmen Brum Rosa & Natália Gava Gastaldo & Leandro Michels & Alvaro Luiz Neuenfeldt Júnior & Julio Cezar Mairesse Siluk, 2020. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    10. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    11. Tan, R.R. & Aviso, K.B. & Ng, D.K.S., 2019. "Optimization models for financing innovations in green energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    12. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    13. Behroozeh, Samira & Hayati, Dariush & Karami, Ezatollah, 2022. "Determining and validating criteria to measure energy consumption sustainability in agricultural greenhouses," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    14. Tang, F. & Lahoori, M. & Nowamooz, H. & Rosin-Paumier, S. & Masrouri, F., 2021. "A numerical study into effects of soil compaction and heat storage on thermal performance of a Horizontal Ground Heat Exchanger," Renewable Energy, Elsevier, vol. 172(C), pages 740-752.
    15. Chia-Nan Wang & Ngoc-Ai-Thy Nguyen & Thanh-Tuan Dang, 2023. "Sustainable Evaluation of Major Third-Party Logistics Providers: A Framework of an MCDM-Based Entropy Objective Weighting Method," Mathematics, MDPI, vol. 11(19), pages 1-27, October.
    16. Aikaterini Papapostolou & Charikleia Karakosta & Kalliopi-Anastasia Kourti & Haris Doukas & John Psarras, 2019. "Supporting Europe’s Energy Policy Towards a Decarbonised Energy System: A Comparative Assessment," Sustainability, MDPI, vol. 11(15), pages 1-26, July.
    17. Pei-Hsuan Tsai & Chih-Jou Chen & Ho-Chin Yang, 2021. "Using Porter’s Diamond Model to Assess the Competitiveness of Taiwan’s Solar Photovoltaic Industry," SAGE Open, , vol. 11(1), pages 21582440209, January.
    18. Fang, Hong & Wang, Xu & Song, Wenyan, 2020. "Technology selection for photovoltaic cell from sustainability perspective: An integrated approach," Renewable Energy, Elsevier, vol. 153(C), pages 1029-1041.
    19. Huang, Shi-Wei & Chung, Yung-Fu & Wu, Tai-Hsi, 2021. "Analyzing the relationship between energy security performance and decoupling of economic growth from CO2 emissions for OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    20. Nie, S. & Huang, Charley Z. & Huang, G.H. & Li, Y.P. & Chen, J.P. & Fan, Y.R. & Cheng, G.H., 2016. "Planning renewable energy in electric power system for sustainable development under uncertainty – A case study of Beijing," Applied Energy, Elsevier, vol. 162(C), pages 772-786.

    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:226:y:2024:i:c:s0960148124004269. 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: 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.