IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v78y2017icp807-820.html
   My bibliography  Save this article

Combined application of Life Cycle Assessment and Adaptive Neuro-Fuzzy Inference System for modeling energy and environmental emissions of oilseed production

Author

Listed:
  • Mousavi-Avval, Seyed Hashem
  • Rafiee, Shahin
  • Sharifi, Mohammad
  • Hosseinpour, Soleiman
  • Shah, Ajay

Abstract

In this study energy and economic analyses and environmental Life Cycle Assessment (LCA) of canola production in Mazandaran province of Iran were conducted and then an intelligent system of three level Adaptive Neuro-Fuzzy Inference System (ANFIS) was implemented to predict three mentioned indices based on energy consumption from different inputs. The functional unit was considered to be one hectare of canola production. Energy use efficiency and energy productivity were found to be 3.73 and 0.14kgMJ−1, respectively. The LCA results indicated that total emissions of canola production was 2488.72pPtha−1, from which off-farm emissions and on-farm emissions contributed as 1780.43 and 708.29pPtha−1, respectively. Emissions due to production and application of chemical fertilizers, especially nitrogen, had the pivotal role on environmental burdens. Coefficients of determination for predicting output energy, benefit to cost ratio and environmental emissions final score (EEFS) were estimated to be 0.90, 0.87 and 0.92, respectively. It is concluded that chemical fertilizer is one of the main energy consuming inputs and emission sources, in particular, for impact categories of global warming, acidification and eutrophication. Optimization of fertilizer application in canola production in the region is generally beneficial from energy, economic and environmental points of view. It is proposed that implementation of multi-level ANFIS is a useful tool in helping to predict the energy, economic and environmental indices of agricultural production systems.

Suggested Citation

  • Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Sharifi, Mohammad & Hosseinpour, Soleiman & Shah, Ajay, 2017. "Combined application of Life Cycle Assessment and Adaptive Neuro-Fuzzy Inference System for modeling energy and environmental emissions of oilseed production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 807-820.
    • Handle: RePEc:eee:rensus:v:78:y:2017:i:c:p:807-820
    DOI: 10.1016/j.rser.2017.05.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032117306287
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2017.05.002?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. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach," Energy, Elsevier, vol. 36(5), pages 2765-2772.
    2. Mohammadshirazi, Ahmad & Akram, Asadolah & Rafiee, Shahin & Mousavi Avval, Seyyed Hashem & Bagheri Kalhor, Elnaz, 2012. "An analysis of energy use and relation between energy inputs and yield in tangerine production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4515-4521.
    3. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein & Shamshirband, Shahaboddin & Hamid, Siti Hafizah Ab, 2015. "Developing a fuzzy clustering model for better energy use in farm management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 27-34.
    4. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    5. Rafiee, Shahin & Mousavi Avval, Seyed Hashem & Mohammadi, Ali, 2010. "Modeling and sensitivity analysis of energy inputs for apple production in Iran," Energy, Elsevier, vol. 35(8), pages 3301-3306.
    6. Beheshti Tabar, Iman & Keyhani, Alireza & Rafiee, Shaheen, 2010. "Energy balance in Iran's agronomy (1990-2006)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 849-855, February.
    7. Kalogirou, Soteris A., 2001. "Artificial neural networks in renewable energy systems applications: a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 5(4), pages 373-401, December.
    8. Li, J.S. & Chen, G.Q., 2013. "Energy and greenhouse gas emissions review for Macao," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 23-32.
    9. Alluvione, Francesco & Moretti, Barbara & Sacco, Dario & Grignani, Carlo, 2011. "EUE (energy use efficiency) of cropping systems for a sustainable agriculture," Energy, Elsevier, vol. 36(7), pages 4468-4481.
    10. Mohammadi, Ali & Rafiee, Shahin & Jafari, Ali & Keyhani, Alireza & Mousavi-Avval, Seyed Hashem & Nonhebel, Sanderine, 2014. "Energy use efficiency and greenhouse gas emissions of farming systems in north Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 724-733.
    11. Nguyen, Thu Lan Thi & Gheewala, Shabbir H. & Garivait, Savitri, 2007. "Energy balance and GHG-abatement cost of cassava utilization for fuel ethanol in Thailand," Energy Policy, Elsevier, vol. 35(9), pages 4585-4596, September.
    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. Dainius Steponavičius & Aurelija Kemzūraitė & Laimis Bauša & Ernestas Zaleckas, 2019. "Evaluation of the Effectiveness of Pod Sealants in Increasing Pod Shattering Resistance in Oilseed Rape ( Brassica napus L.)," Energies, MDPI, vol. 12(12), pages 1-19, June.
    2. Elhami, Behzad & Ghasemi Nejad Raini, Mahmoud & Soheili-Fard, Farshad, 2019. "Energy and environmental indices through life cycle assessment of raisin production: A case study (Kohgiluyeh and Boyer-Ahmad Province, Iran)," Renewable Energy, Elsevier, vol. 141(C), pages 507-515.
    3. Nabavi-Pelesaraei, Ashkan & Azadi, Hossein & Van Passel, Steven & Saber, Zahra & Hosseini-Fashami, Fatemeh & Mostashari-Rad, Fatemeh & Ghasemi-Mobtaker, Hassan, 2021. "Prospects of solar systems in production chain of sunflower oil using cold press method with concentrating energy and life cycle assessment," Energy, Elsevier, vol. 223(C).
    4. Elhami, Behzad & Nejad Raini, Mahmoud Ghasemi & Taki, Morteza & Marzban, Afshin & Heidarisoltanabadi, Mohsen, 2021. "Analysis and comparison of energy-economic-environmental cycle in two cultivation methods (seeding and transplanting) for onion production (case study: central parts of Iran)," Renewable Energy, Elsevier, vol. 178(C), pages 875-890.
    5. Rabiee, Mohammad & Majidian, Majid & Alizadeh, Mohammad Reza & Kavoosi, Masoud, 2021. "Evaluation of energy use efficiency and greenhouse gas emission in rapeseed (Brassica napus L.) production in paddy fields of Guilan province of Iran," Energy, Elsevier, vol. 217(C).
    6. Jin, Zhaoqiang & Liao, Wanjie & Mu, Yixue & Li, Yusheng & Nie, Lixiao, 2023. "Integrated assessment of water footprint and energy production efficiency in different rice-rape rotation systems," Energy, Elsevier, vol. 266(C).

    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. Barut, Zeliha Bereket & Ertekin, Can & Karaagac, Hasan Ali, 2011. "Tillage effects on energy use for corn silage in Mediterranean Coastal of Turkey," Energy, Elsevier, vol. 36(9), pages 5466-5475.
    2. Kazemi, Hossein & Bourkheili, Saeid Hassanpour & Kamkar, Behnam & Soltani, Afshin & Gharanjic, Kambiz & Nazari, Noor Mohammad, 2016. "Estimation of greenhouse gas (GHG) emission and energy use efficiency (EUE) analysis in rainfed canola production (case study: Golestan province, Iran)," Energy, Elsevier, vol. 116(P1), pages 694-700.
    3. Seyed Hashem Mousavi-Avval & Shahin Rafiee & Ali Mohammadi, 2020. "Development and Evaluation of Combined Adaptive Neuro-Fuzzy Inference System and Multi-Objective Genetic Algorithm in Energy, Economic and Environmental Life Cycle Assessments of Oilseed Production," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
    4. Asgharipour, Mohammad Reza & Mondani, Farzad & Riahinia, Shahram, 2012. "Energy use efficiency and economic analysis of sugar beet production system in Iran: A case study in Khorasan Razavi province," Energy, Elsevier, vol. 44(1), pages 1078-1084.
    5. Morteza Zangeneh & Narges Banaeian & Sean Clark, 2021. "Meta-Analysis on Energy-Use Patterns of Cropping Systems in Iran," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    6. Mohammadshirazi, Ahmad & Akram, Asadolah & Rafiee, Shahin & Mousavi Avval, Seyyed Hashem & Bagheri Kalhor, Elnaz, 2012. "An analysis of energy use and relation between energy inputs and yield in tangerine production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4515-4521.
    7. Martin-Gorriz, B. & Soto-García, M. & Martínez-Alvarez, V., 2014. "Energy and greenhouse-gas emissions in irrigated agriculture of SE (southeast) Spain. Effects of alternative water supply scenarios," Energy, Elsevier, vol. 77(C), pages 478-488.
    8. Unakıtan, Gökhan & Aydın, Başak, 2018. "A comparison of energy use efficiency and economic analysis of wheat and sunflower production in Turkey: A case study in Thrace Region," Energy, Elsevier, vol. 149(C), pages 279-285.
    9. Wang, Donglin & Feng, Hao & Li, Yi & Zhang, Tibin & Dyck, Miles & Wu, Feng, 2019. "Energy input-output, water use efficiency and economics of winter wheat under gravel mulching in Northwest China," Agricultural Water Management, Elsevier, vol. 222(C), pages 354-366.
    10. Sara Ilahi & Yongchang Wu & Muhammad Ahsan Ali Raza & Wenshan Wei & Muhammad Imran & Lyankhua Bayasgalankhuu, 2019. "Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    11. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.
    12. Yang, Zhiyuan & Zhu, Yuemei & Zhang, Jinyue & Li, Xuyi & Ma, Peng & Sun, Jiawei & Sun, Yongjian & Ma, Jun & Li, Na, 2022. "Comparison of energy use between fully mechanized and semi-mechanized rice production in Southwest China," Energy, Elsevier, vol. 245(C).
    13. Mohammadi, Ali & Cowie, Annette L. & Cacho, Oscar & Kristiansen, Paul & Anh Mai, Thi Lan & Joseph, Stephen, 2017. "Biochar addition in rice farming systems: Economic and energy benefits," Energy, Elsevier, vol. 140(P1), pages 415-425.
    14. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Energy utilization in major crop cultivation," Energy, Elsevier, vol. 173(C), pages 1285-1303.
    15. Mousavi-Avval, Seyed Hashem & Shah, Ajay, 2021. "Life cycle energy and environmental impacts of hydroprocessed renewable jet fuel production from pennycress," Applied Energy, Elsevier, vol. 297(C).
    16. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    17. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach," Energy, Elsevier, vol. 55(C), pages 676-682.
    18. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2019. "Applying DEA optimization approach for energy auditing in wheat cultivation under rice-wheat and cotton-wheat cropping systems in north-western India," Energy, Elsevier, vol. 181(C), pages 18-28.
    19. Garofalo, Pasquale & Campi, Pasquale & Vonella, Alessandro Vittorio & Mastrorilli, Marcello, 2018. "Application of multi-metric analysis for the evaluation of energy performance and energy use efficiency of sweet sorghum in the bioethanol supply-chain: A fuzzy-based expert system approach," Applied Energy, Elsevier, vol. 220(C), pages 313-324.
    20. Šarauskis, Egidijus & Masilionytė, Laura & Juknevičius, Darius & Buragienė, Sidona & Kriaučiūnienė, Zita, 2019. "Energy use efficiency, GHG emissions, and cost-effectiveness of organic and sustainable fertilisation," Energy, Elsevier, vol. 172(C), pages 1151-1160.

    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:78:y:2017:i:c:p:807-820. 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.