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Ranking Potential Renewable Energy Systems to Power On-Farm Fertilizer Production

Author

Listed:
  • Ali Mostafaeipour

    (Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
    The Faculty of Civil Engineering, Duy Tan University, Da Nang 550000, Vietnam
    Department of Sustainable Energy, Faculty of Environmental Management, Prince of Songkla University, 90110 Songkhla, Thailand)

  • Ali Sadeghi Sedeh

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

  • Shahariar Chowdhury

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

  • Kuaanan Techato

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

Abstract

Farmers across the world have long used chemical fertilizers to achieve higher production outputs. One of the basic inputs for the production of nitrogen fertilizer is fossil fuel, which is not only finite but also has tangible impacts on the environment. This study aims to determine the most suitable renewable energy resource (RER) for the production of fertilizer in Iranian farmlands. The resources considered in this study were photovoltaic energy, biomass energy, wind energy, and solar thermal energy. This assessment was carried out in terms of six general criteria derived from a PESTEL (Political, Economic, Socio-cultural, Technological, Environmental and Legal) analysis, and thus 20 sub-criteria were obtained with the help of experts. The criteria were weighted using the Fuzzy AHP (Analytic Hierarchy Process) method. Because of the use of criteria with crisp, fuzzy, and interval-type values, the ranking was performed using the extended TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method. A sensitivity analysis was performed to determine the effects of the sub-criteria on the results. The results showed that the technological criterion is the most important measure for this assessment, and that photovoltaic energy and wind energy are the top two options for powering chemical fertilizer production in Iranian farmlands.

Suggested Citation

  • Ali Mostafaeipour & Ali Sadeghi Sedeh & Shahariar Chowdhury & Kuaanan Techato, 2020. "Ranking Potential Renewable Energy Systems to Power On-Farm Fertilizer Production," Sustainability, MDPI, vol. 12(19), pages 1-27, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7850-:d:417800
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    References listed on IDEAS

    as
    1. Sedaghat, Ahmad & Hassanzadeh, Arash & Jamali, Jamaloddin & Mostafaeipour, Ali & Chen, Wei-Hsin, 2017. "Determination of rated wind speed for maximum annual energy production of variable speed wind turbines," Applied Energy, Elsevier, vol. 205(C), pages 781-789.
    2. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    3. Streimikiene, Dalia & Balezentis, Tomas & Krisciukaitienė, Irena & Balezentis, Alvydas, 2012. "Prioritizing sustainable electricity production technologies: MCDM approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3302-3311.
    4. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    5. Najafi, G. & Ghobadian, B. & Mamat, R. & Yusaf, T. & Azmi, W.H., 2015. "Solar energy in Iran: Current state and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 931-942.
    6. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    7. Wu, Yunna & Xu, Chuanbo & Zhang, Ting, 2018. "Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China," Energy, Elsevier, vol. 147(C), pages 1227-1239.
    8. Goudarzi, Hossein & Mostafaeipour, Ali, 2017. "Energy saving evaluation of passive systems for residential buildings in hot and dry regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 432-446.
    9. Aryanpur, Vahid & Atabaki, Mohammad Saeid & Marzband, Mousa & Siano, Pierluigi & Ghayoumi, Kiarash, 2019. "An overview of energy planning in Iran and transition pathways towards sustainable electricity supply sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 58-74.
    10. Abteen Ijadi Maghsoodi & Arta Ijadi Maghsoodi & Amir Mosavi & Timon Rabczuk & Edmundas Kazimieras Zavadskas, 2018. "Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach," Sustainability, MDPI, vol. 10(12), pages 1-18, November.
    11. Hosseini, Seyed Ehsan & Andwari, Amin Mahmoudzadeh & Wahid, Mazlan Abdul & Bagheri, Ghobad, 2013. "A review on green energy potentials in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 533-545.
    12. 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.
    13. Frattini, D. & Cinti, G. & Bidini, G. & Desideri, U. & Cioffi, R. & Jannelli, E., 2016. "A system approach in energy evaluation of different renewable energies sources integration in ammonia production plants," Renewable Energy, Elsevier, vol. 99(C), pages 472-482.
    14. Štreimikienė, Dalia & Šliogerienė, Jūratė & Turskis, Zenonas, 2016. "Multi-criteria analysis of electricity generation technologies in Lithuania," Renewable Energy, Elsevier, vol. 85(C), pages 148-156.
    15. Haratian, Mojtaba & Tabibi, Pouya & Sadeghi, Meisam & Vaseghi, Babak & Poustdouz, Amin, 2018. "A renewable energy solution for stand-alone power generation: A case study of KhshU Site-Iran," Renewable Energy, Elsevier, vol. 125(C), pages 926-935.
    16. Troldborg, Mads & Heslop, Simon & Hough, Rupert L., 2014. "Assessing the sustainability of renewable energy technologies using multi-criteria analysis: Suitability of approach for national-scale assessments and associated uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1173-1184.
    17. 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.
    18. 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.
    19. Morgan, Eric & Manwell, James & McGowan, Jon, 2014. "Wind-powered ammonia fuel production for remote islands: A case study," Renewable Energy, Elsevier, vol. 72(C), pages 51-61.
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