IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v15y2011i6p3041-3044.html
   My bibliography  Save this article

Biodiesel production potential from edible oil seeds in Iran

Author

Listed:
  • Safieddin Ardebili, M.
  • Ghobadian, B.
  • Najafi, G.
  • Chegeni, A.

Abstract

Biodiesel can be considered as the optimum alternative fuel for diesel fuel in Iran. Biodiesel is an environmentally friendly fuel and has the potential to provide comparable engine performance results. The biodiesel production potential from oil seeds such as canola, soybean, cotton, seasem, olive, sunflower, safflower, almond, corn, coconut, walnut and hazelnut in Iran is investigated in this paper. In Iran, oil seeds are not commonly used for energy application. This is because; more than 90% of the edible oil for human consumption is being imported. To contribute to the fuel supply, renewable energies such as oil seeds to be an attractive resource for biodiesel production, this paper aims to cover several perspectives on the size of the biodiesel oil seeds resource in Iran. Oil seeds are harvested every year in Iran. Around 1 million ha of land from 20 states are estimated to be potential land for growing of oil seeds. There are approximately 3.67Â MT (million ton) of oil seeds crops in Iran that can potentially produce 721Â ML (million liter) of biodiesel every year. Canola, cotton and soybean are the most favorable biodiesel production source. Based on the results, it can be concluded that production of biodiesel from the seed oils can ideally replace about 2% of total diesel fuel consumption in Iran. By managing this, an B2 (2% biodiesel and 98% diesel) can be an optimum alternative fuel for compressed ignition engine since there is no major engine modification required to use biodiesel.

Suggested Citation

  • Safieddin Ardebili, M. & Ghobadian, B. & Najafi, G. & Chegeni, A., 2011. "Biodiesel production potential from edible oil seeds in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3041-3044, August.
  • Handle: RePEc:eee:rensus:v:15:y:2011:i:6:p:3041-3044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032111001031
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Zhang, Caixia & Xie, Gaodi & Li, Shimei & Ge, Liqiang & He, Tingting, 2010. "The productive potentials of sweet sorghum ethanol in China," Applied Energy, Elsevier, vol. 87(7), pages 2360-2368, July.
    2. Phalan, Ben, 2009. "The social and environmental impacts of biofuels in Asia: An overview," Applied Energy, Elsevier, vol. 86(Supplemen), pages 21-29, November.
    3. Najafi, G. & Ghobadian, B. & Tavakoli, T. & Buttsworth, D.R. & Yusaf, T.F. & Faizollahnejad, M., 2009. "Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network," Applied Energy, Elsevier, vol. 86(5), pages 630-639, May.
    4. rahimi, Hadi & Ghobadian, Barat & Yusaf, Talal & Najafi, Gholamhasan & Khatamifar, Mahdi, 2009. "Diesterol: An environment-friendly IC engine fuel," Renewable Energy, Elsevier, vol. 34(1), pages 335-342.
    5. Ghobadian, B. & Rahimi, H. & Nikbakht, A.M. & Najafi, G. & Yusaf, T.F., 2009. "Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network," Renewable Energy, Elsevier, vol. 34(4), pages 976-982.
    6. Najafi, G. & Ghobadian, B. & Tavakoli, T. & Yusaf, T., 2009. "Potential of bioethanol production from agricultural wastes in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1418-1427, August.
    7. Balat, Mustafa & Balat, Havva, 2010. "Progress in biodiesel processing," Applied Energy, Elsevier, vol. 87(6), pages 1815-1835, June.
    8. Ghobadian, Barat & Najafi, Gholamhassan & Rahimi, Hadi & Yusaf, T.F., 2009. "Future of renewable energies in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 689-695, April.
    9. Prabhakar, S.V.R.K. & Elder, Mark, 2009. "Biofuels and resource use efficiency in developing Asia: Back to basics," Applied Energy, Elsevier, vol. 86(Supplemen), pages 30-36, November.
    10. Leduc, Sylvain & Natarajan, Karthikeyan & Dotzauer, Erik & McCallum, Ian & Obersteiner, Michael, 2009. "Optimizing biodiesel production in India," Applied Energy, Elsevier, vol. 86(Supplemen), pages 125-131, November.
    11. Qiu, Huanguang & Huang, Jikun & Yang, Jun & Rozelle, Scott & Zhang, Yuhua & Zhang, Yahui & Zhang, Yanli, 2010. "Bioethanol development in China and the potential impacts on its agricultural economy," Applied Energy, Elsevier, vol. 87(1), pages 76-83, January.
    12. Suntana, Asep S. & Vogt, Kristiina A. & Turnblom, Eric C. & Upadhye, Ravi, 2009. "Bio-methanol potential in Indonesia: Forest biomass as a source of bio-energy that reduces carbon emissions," Applied Energy, Elsevier, vol. 86(Supplemen), pages 215-221, November.
    13. Matsumoto, Naoko & Sano, Daisuke & Elder, Mark, 2009. "Biofuel initiatives in Japan: Strategies, policies, and future potential," Applied Energy, Elsevier, vol. 86(Supplemen), pages 69-76, November.
    14. S. Narayan, 2009. "India," Chapters, in: Peter Draper & Philip Alves & Razeen Sally (ed.), The Political Economy of Trade Reform in Emerging Markets, chapter 7, Edward Elgar Publishing.
    15. Deh Kiani, M. Kiani & Ghobadian, B. & Tavakoli, T. & Nikbakht, A.M. & Najafi, G., 2010. "Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol- gasoline blends," Energy, Elsevier, vol. 35(1), pages 65-69.
    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. 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.
    2. Demirbas, Ayhan, 2011. "Competitive liquid biofuels from biomass," Applied Energy, Elsevier, vol. 88(1), pages 17-28, January.
    3. Demirbas, M. Fatih, 2011. "Biofuels from algae for sustainable development," Applied Energy, Elsevier, vol. 88(10), pages 3473-3480.
    4. Demirbas, Ayhan, 2011. "Biodiesel from oilgae, biofixation of carbon dioxide by microalgae: A solution to pollution problems," Applied Energy, Elsevier, vol. 88(10), pages 3541-3547.
    5. Avami, Akram, 2012. "A model for biodiesel supply chain: A case study in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4196-4203.
    6. Azoumah, Y. & Yamegueu, D. & Ginies, P. & Coulibaly, Y. & Girard, P., 2011. "Sustainable electricity generation for rural and peri-urban populations of sub-Saharan Africa: The "flexy-energy" concept," Energy Policy, Elsevier, vol. 39(1), pages 131-141, January.
    7. Tan, Raymond R. & Aviso, Kathleen B. & Barilea, Ivan U. & Culaba, Alvin B. & Cruz, Jose B., 2012. "A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints," Applied Energy, Elsevier, vol. 90(1), pages 154-160.
    8. Talebian-Kiakalaieh, Amin & Amin, Nor Aishah Saidina & Mazaheri, Hossein, 2013. "A review on novel processes of biodiesel production from waste cooking oil," Applied Energy, Elsevier, vol. 104(C), pages 683-710.
    9. Çay, Yusuf & Korkmaz, Ibrahim & Çiçek, Adem & Kara, Fuat, 2013. "Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network," Energy, Elsevier, vol. 50(C), pages 177-186.
    10. Lin, Lin & Cunshan, Zhou & Vittayapadung, Saritporn & Xiangqian, Shen & Mingdong, Dong, 2011. "Opportunities and challenges for biodiesel fuel," Applied Energy, Elsevier, vol. 88(4), pages 1020-1031, April.
    11. Behdad Shadidi & Hossein Haji Agha Alizade & Gholamhassan Najafi, 2021. "The Influence of Diesel–Ethanol Fuel Blends on Performance Parameters and Exhaust Emissions: Experimental Investigation and Multi-Objective Optimization of a Diesel Engine," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    12. Behdad Shadidi & Gholamhassan Najafi & Mohammad Ali Zolfigol, 2022. "A Review of the Existing Potentials in Biodiesel Production in Iran," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    13. Kshirsagar, Charudatta M. & Anand, Ramanathan, 2017. "Artificial neural network applied forecast on a parametric study of Calophyllum inophyllum methyl ester-diesel engine out responses," Applied Energy, Elsevier, vol. 189(C), pages 555-567.
    14. Yusaf, T.F. & Yousif, B.F. & Elawad, M.M., 2011. "Crude palm oil fuel for diesel-engines: Experimental and ANN simulation approaches," Energy, Elsevier, vol. 36(8), pages 4871-4878.
    15. Mohammed I. Jahirul & Richard J. Brown & Wijitha Senadeera & Ian M. O'Hara & Zoran D. Ristovski, 2013. "The Use of Artificial Neural Networks for Identifying Sustainable Biodiesel Feedstocks," Energies, MDPI, vol. 6(8), pages 1-43, July.
    16. Mehra, Roopesh Kumar & Duan, Hao & Luo, Sijie & Rao, Anas & Ma, Fanhua, 2018. "Experimental and artificial neural network (ANN) study of hydrogen enriched compressed natural gas (HCNG) engine under various ignition timings and excess air ratios," Applied Energy, Elsevier, vol. 228(C), pages 736-754.
    17. Ng, Jo-Han & Ng, Hoon Kiat & Gan, Suyin, 2012. "Characterisation of engine-out responses from a light-duty diesel engine fuelled with palm methyl ester (PME)," Applied Energy, Elsevier, vol. 90(1), pages 58-67.
    18. Shadidi, Behdad & Yusaf, Talal & Alizadeh, Hossein Haji Agha & Ghobadian, Barat, 2014. "Experimental investigation of the tractor engine performance using diesohol fuel," Applied Energy, Elsevier, vol. 114(C), pages 874-879.
    19. Bahri, Bahram & Shahbakhti, Mahdi & Kannan, Kaushik & Aziz, Azhar Abdul, 2016. "Identification of ringing operation for low temperature combustion engines," Applied Energy, Elsevier, vol. 171(C), pages 142-152.
    20. Ganesan, P. & Rajakarunakaran, S. & Thirugnanasambandam, M. & Devaraj, D., 2015. "Artificial neural network model to predict the diesel electric generator performance and exhaust emissions," Energy, Elsevier, vol. 83(C), pages 115-124.

    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:rensus:v:15:y:2011:i:6:p:3041-3044. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.