IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i8p4524-d538882.html
   My bibliography  Save this article

Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study

Author

Listed:
  • Khalid Almutairi

    (Community College, Mechanical Engineering Technology, University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia)

  • Ali Mostafaeipour

    (Industrial Engineering Department, Yazd University, Yazd 89195741, Iran
    Faculty Environmental Management, Prince of Songkla University, Songkhla 90110, Thailand
    Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Songkhla 90110, Thailand)

  • Ehsan Jahanshahi

    (Industrial Engineering Department, Yazd University, Yazd 89195741, Iran)

  • Erfan Jooyandeh

    (Industrial Engineering Department, Yazd University, Yazd 89195741, Iran)

  • Youcef Himri

    (Faculté des Sciences Exactes, Université Tahri Mohamed Béchar, BP 417 Route de Kenadsa, Bechar 08000, Algeria
    FUNDamental and Apply Physics Laboratory (FUNDAPL), Université Saad Dahlab, BP 270 Route Soumâa, Blida 09000, Algeria)

  • Mehdi Jahangiri

    (Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord 8815673111, Iran)

  • Alibek Issakhov

    (Department of Mathematical and Computer Modelling, Faculty of Mechanics and Mathematics, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan
    Department of Mathematics and Cybernetics, Kazakh-British Technical University, Almaty 050000, Kazakhstan)

  • Shahariar Chowdhury

    (Faculty Environmental Management, Prince of Songkla University, Songkhla 90110, Thailand
    Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Songkhla 90110, Thailand)

  • Seyyed Jalaladdin Hosseini Dehshiri

    (Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran 1434863111, Iran)

  • Seyyed Shahabaddin Hosseini Dehshiri

    (Department of Mechanical Engineering, Sharif University of Technology, Tehran 111558639, Iran)

  • Kuaanan Techato

    (Faculty Environmental Management, Prince of Songkla University, Songkhla 90110, Thailand
    Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Songkhla 90110, Thailand)

Abstract

Observing the growing energy demand of modern societies, many countries have recognized energy security as a looming problem and renewable energies as a solution to this issue. Renewable hydrogen production is an excellent method for the storage and transfer of energy generated by intermittent renewable sources such as wind and solar so that they can be used at a place and time of our choosing. In this study, the suitability of 15 cities in Fars province, Iran, for renewable hydrogen production was investigated and compared by the use of multiple multi-criteria decision-making methods including ARAS, SAW, CODAS, and TOPSIS. The obtained rankings were aggregated by rank averaging, Borda method, and Copeland method. Finally, the partially ordered set ranking technique was used to reach a general consensus about the ranking. The criteria that affect hydrogen production were found to be solar energy potential, wind energy potential, population, air temperature, natural disasters, altitude, relative humidity, land cost, skilled labor, infrastructure, topographic condition, and distance from main roads. These criteria were weighted using the best–worst method (BWM) based on the data collected by a questionnaire. Solar energy potential was estimated using the Angstrom model. Wind energy potential was estimated by using the Weibull distribution function for each month independently. The results of the multi-criteria decision-making methods showed Izadkhast to be the most suitable location for renewable hydrogen production in the studied area.

Suggested Citation

  • Khalid Almutairi & Ali Mostafaeipour & Ehsan Jahanshahi & Erfan Jooyandeh & Youcef Himri & Mehdi Jahangiri & Alibek Issakhov & Shahariar Chowdhury & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahab, 2021. "Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4524-:d:538882
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/8/4524/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/8/4524/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zarezade, Mojgan & Mostafaeipour, Ali, 2016. "Identifying the effective factors on implementing the solar dryers for Yazd province, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 765-775.
    2. Aryanpur, Vahid & Shafiei, Ehsan, 2015. "Optimal deployment of renewable electricity technologies in Iran and implications for emissions reductions," Energy, Elsevier, vol. 91(C), pages 882-893.
    3. Komiyama, Ryoichi & Otsuki, Takashi & Fujii, Yasumasa, 2015. "Energy modeling and analysis for optimal grid integration of large-scale variable renewables using hydrogen storage in Japan," Energy, Elsevier, vol. 81(C), pages 537-555.
    4. Ju, HyungKuk & Badwal, Sukhvinder & Giddey, Sarbjit, 2018. "A comprehensive review of carbon and hydrocarbon assisted water electrolysis for hydrogen production," Applied Energy, Elsevier, vol. 231(C), pages 502-533.
    5. Yazdanpanah, Masoud & Komendantova, Nadejda & Ardestani, Roshanak Shafiei, 2015. "Governance of energy transition in Iran: Investigating public acceptance and willingness to use renewable energy sources through socio-psychological model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 565-573.
    6. Tavana, Alireza & Emami Javid, Alireza & Houshfar, Ehsan & Mahmoudzadeh Andwari, Amin & Ashjaee, Mehdi & Shoaee, Saeed & Maghmoomi, Abtin & Marashi, Fatima, 2019. "Toward renewable and sustainable energies perspective in Iran," Renewable Energy, Elsevier, vol. 139(C), pages 1194-1216.
    7. Dhunny, A.Z. & Doorga, J.R.S. & Allam, Z. & Lollchund, M.R. & Boojhawon, R., 2019. "Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling," Energy, Elsevier, vol. 188(C).
    8. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
    9. Yeh, Tsu-Ming & Huang, Yu-Lang, 2014. "Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP," Renewable Energy, Elsevier, vol. 66(C), pages 159-169.
    10. Gigović, Ljubomir & Pamučar, Dragan & Božanić, Darko & Ljubojević, Srđan, 2017. "Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia," Renewable Energy, Elsevier, vol. 103(C), pages 501-521.
    11. Mostafaeipour, Ali & Alvandimanesh, Marzieh & Najafi, Fatemeh & Issakhov, Alibek, 2021. "Identifying challenges and barriers for development of solar energy by using fuzzy best-worst method: A case study," Energy, Elsevier, vol. 226(C).
    12. 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.
    13. Zoghi, Mahmood & Houshang Ehsani, Amir & Sadat, Mahdis & javad Amiri, Mohammad & Karimi, Sepideh, 2017. "Optimization solar site selection by fuzzy logic model and weighted linear combination method in arid and semi-arid region: A case study Isfahan-IRAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 986-996.
    14. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    15. Lee, Hsing-Chen & Chang, Ching-Ter, 2018. "Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 883-896.
    16. Çolak, Murat & Kaya, İhsan, 2017. "Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 840-853.
    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. Qingfu Li & Lixin Guo & Huade Zhou, 2022. "Construction Quality Evaluation of Large-Scale Concrete Canal Lining Based on Statistical Analysis, FAHM, and Cloud Model," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    2. Khalid Almutairi & Seyyed Shahabaddin Hosseini Dehshiri & Seyyed Jalaladdin Hosseini Dehshiri & Ali Mostafaeipour & Alibek Issakhov & Kuaanan Techato, 2021. "Use of a Hybrid Wind—Solar—Diesel—Battery Energy System to Power Buildings in Remote Areas: A Case Study," Sustainability, MDPI, vol. 13(16), pages 1-26, August.
    3. Hai Wang & Yanxin Hu & Jinqing Peng & Mengjie Song & Haoteng Li, 2021. "Effects of Receiver Parameters on Solar Flux Distribution for Triangle Cavity Receiver in the Fixed Linear-Focus Fresnel Lens Solar Concentrator," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    4. Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "A new application of multi criteria decision making in energy technology in traditional buildings: A case study of Isfahan," Energy, Elsevier, vol. 240(C).
    5. Hosseini Dehshiri, Seyyed Shahabaddin & Firoozabadi, Bahar, 2022. "A new application of measurement of alternatives and ranking according to compromise solution (MARCOS) in solar site location for electricity and hydrogen production: A case study in the southern clim," Energy, Elsevier, vol. 261(PB).
    6. Jahangiri, Mehdi & Rezaei, Mostafa & Mostafaeipour, Ali & Goojani, Afsaneh Raiesi & Saghaei, Hamed & Hosseini Dehshiri, Seyyed Jalaladdin & Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "Prioritization of solar electricity and hydrogen co-production stations considering PV losses and different types of solar trackers: A TOPSIS approach," Renewable Energy, Elsevier, vol. 186(C), pages 889-903.
    7. Sebastian Fredershausen & Henrik Lechte & Mathias Willnat & Tobias Witt & Christine Harnischmacher & Tim-Benjamin Lembcke & Matthias Klumpp & Lutz Kolbe, 2021. "Towards an Understanding of Hydrogen Supply Chains: A Structured Literature Review Regarding Sustainability Evaluation," Sustainability, MDPI, vol. 13(21), pages 1-19, October.

    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. 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.
    3. Ridha, Hussein Mohammed & Gomes, Chandima & Hizam, Hashim & Ahmadipour, Masoud & Heidari, Ali Asghar & Chen, Huiling, 2021. "Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. Saraswat, S.K. & Digalwar, Abhijeet K., 2021. "Empirical investigation and validation of sustainability indicators for the assessment of energy sources in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    5. Elkadeem, Mohamed R. & Younes, Ali & Mazzeo, Domenico & Jurasz, Jakub & Elia Campana, Pietro & Sharshir, Swellam W. & Alaam, Mohamed A., 2022. "Geospatial-assisted multi-criterion analysis of solar and wind power geographical-technical-economic potential assessment," Applied Energy, Elsevier, vol. 322(C).
    6. Elkadeem, M.R. & Younes, Ali & Sharshir, Swellam W. & Campana, Pietro Elia & Wang, Shaorong, 2021. "Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis," Applied Energy, Elsevier, vol. 295(C).
    7. Zhao, Chengwei & Xu, Xuanhua & Liu, Ruihuan & He, Jishan, 2021. "A multi-aspect coordination HDRED site selection framework under multi-type heterogeneous environments," Renewable Energy, Elsevier, vol. 171(C), pages 833-848.
    8. Waewsak, Jompob & Ali, Shahid & Natee, Warut & Kongruang, Chuleerat & Chancham, Chana & Gagnon, Yves, 2020. "Assessment of hybrid, firm renewable energy-based power plants: Application in the southernmost region of Thailand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    9. Chiranjib Bhowmik & Sumit Bhowmik & Amitava Ray, 2021. "Selection of optimum green energy sources by considering environmental constructs and their technical criteria: a case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13890-13918, September.
    10. Dragan Pamučar & Ljubomir Gigović & Zoran Bajić & Miljojko Janošević, 2017. "Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers," Sustainability, MDPI, vol. 9(8), pages 1-23, July.
    11. 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).
    12. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    13. Zheng Yuan & Baohua Wen & Cheng He & Jin Zhou & Zhonghua Zhou & Feng Xu, 2022. "Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review," IJERPH, MDPI, vol. 19(11), pages 1-31, May.
    14. 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.
    15. 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.
    16. Besharati Fard, Moein & Moradian, Parisa & Emarati, Mohammadreza & Ebadi, Mehdi & Gholamzadeh Chofreh, Abdoulmohammad & Klemeŝ, Jiří Jaromír, 2022. "Ground-mounted photovoltaic power station site selection and economic analysis based on a hybrid fuzzy best-worst method and geographic information system: A case study Guilan province," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    17. Seyed Morteza Hatefi & Hamideh Asadi & Gholamreza Shams & Jolanta Tamošaitienė & Zenonas Turskis, 2021. "Model for the Sustainable Material Selection by Applying Integrated Dempster-Shafer Evidence Theory and Additive Ratio Assessment (ARAS) Method," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    18. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    19. 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.
    20. Mahmut Baydaş & Dragan Pamučar, 2022. "Determining Objective Characteristics of MCDM Methods under Uncertainty: An Exploration Study with Financial Data," Mathematics, MDPI, vol. 10(7), pages 1-25, March.

    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:gam:jsusta:v:13:y:2021:i:8:p:4524-:d:538882. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.