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Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production

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  • Nabavi-Pelesaraei, Ashkan
  • Hosseinzadeh-Bandbafha, Homa
  • Qasemi-Kordkheili, Peyman
  • Kouchaki-Penchah, Hamed
  • Riahi-Dorcheh, Farshid

Abstract

In this study a non-parametric method of DEA (Data Envelopment Analysis) and MOGA (Multi-Objective Genetic Algorithm) were used to estimate the energy efficiency and greenhouse gas emissions reduction of wheat farmers in Ahvaz county of Iran. Data were collected using a face-to-face questionnaire method from 39 farmers. The results showed that based on constant returns to scale model, 41.02% of wheat farms were efficient, though based on variable returns to scale model it was 53.23%. The average of technical, pure technical and scale efficiency of wheat farms were 0.94, 0.95 and 0.98, respectively. By following the recommendations of this study, 3640.90 MJ ha−1 could be saved (9.13% of total input energy). Moreover, 42 optimal units were found by MOGA. The total energy required and GHG (greenhouse gas) emissions of the best generation of MOGA were about 23105 MJ ha−1 and 340 kgCO2eq. ha−1, respectively. The results revealed that the total energy required of MOGA was less than DEA, significantly. Also, the GHG emissions of present, DEA and MOGA farms were about 903, 837 and 340 kgCO2eq. ha−1, respectively.

Suggested Citation

  • Nabavi-Pelesaraei, Ashkan & Hosseinzadeh-Bandbafha, Homa & Qasemi-Kordkheili, Peyman & Kouchaki-Penchah, Hamed & Riahi-Dorcheh, Farshid, 2016. "Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production," Energy, Elsevier, vol. 103(C), pages 672-678.
    • Handle: RePEc:eee:energy:v:103:y:2016:i:c:p:672-678
    DOI: 10.1016/j.energy.2016.03.003
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    Cited by:

    1. Lin, Boqiang & Chen, Yu & Zhang, Guoliang, 2018. "Impact of technological progress on China's textile industry and future energy saving potential forecast," Energy, Elsevier, vol. 161(C), pages 859-869.
    2. Hafiz Muhammad Abrar Ilyas & Majeed Safa & Alison Bailey & Sara Rauf & Azeem Khan, 2020. "Energy Efficiency Outlook of New Zealand Dairy Farming Systems: An Application of Data Envelopment Analysis (DEA) Approach," Energies, MDPI, vol. 13(1), pages 1-14, January.
    3. 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.
    4. 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.
    5. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
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    10. Marius Kazlauskas & Indrė Bručienė & Dainius Savickas & Vilma Naujokienė & Sidona Buragienė & Dainius Steponavičius & Kęstutis Romaneckas & Egidijus Šarauskis, 2023. "Life Cycle Assessment of Winter Wheat Production Using Precision and Conventional Seeding Technologies," Sustainability, MDPI, vol. 15(19), pages 1-13, September.
    11. Nabavi-Pelesaraei, Ashkan & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Hosseinzadeh-Bandbafha, Homa & Chau, Kwok-wing, 2019. "Assessment of optimized pattern in milling factories of rice production based on energy, environmental and economic objectives," Energy, Elsevier, vol. 169(C), pages 1259-1273.
    12. Tsai-Chi Kuo & Ming-Lang Tseng & Hsiao-Min Chen & Ping-Shun Chen & Po-Chen Chang, 2018. "Design and Analysis of Supply Chain Networks with Low Carbon Emissions," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1353-1374, December.
    13. Hao Xu & Peilin Wang & Kai Ding, 2024. "Transforming Agriculture: Empirical Insights into How the Digital Economy Elevates Agricultural Productivity in China," Sustainability, MDPI, vol. 16(23), pages 1-20, November.
    14. Liu, Yigang & Li, Guoxuan & Chen, Zhengrun & Shen, Yuanyuan & Zhang, Hongru & Wang, Shuai & Qi, Jianguang & Zhu, Zhaoyou & Wang, Yinglong & Gao, Jun, 2020. "Comprehensive analysis of environmental impacts and energy consumption of biomass-to-methanol and coal-to-methanol via life cycle assessment," Energy, Elsevier, vol. 204(C).
    15. Hosseinzadeh-Bandbafha, Homa & Safarzadeh, Dariush & Ahmadi, Ebrahim & Nabavi-Pelesaraei, Ashkan & Hosseinzadeh-Bandbafha, Ehssan, 2017. "Applying data envelopment analysis to evaluation of energy efficiency and decreasing of greenhouse gas emissions of fattening farms," Energy, Elsevier, vol. 120(C), pages 652-662.
    16. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2019. "Energy auditing and optimization approach for improving energy efficiency of rice cultivation in south-western Punjab, India," Energy, Elsevier, vol. 174(C), pages 269-279.
    17. 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.
    18. Singh, Pritpal & Singh, Gurdeep & Gupta, Alok & Sodhi, Gurjinder Pal Singh, 2023. "Data envelopment analysis based energy optimization for improving energy efficiency in wheat established following rice residue management in rice-wheat cropping system," Energy, Elsevier, vol. 284(C).
    19. 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.
    20. Hamed Rafiee & Milad Aminizadeh & Elham Mehrparvar Hosseini & Hanane Aghasafari & Ali Mohammadi, 2022. "A Cluster Analysis on the Energy Use Indicators and Carbon Footprint of Irrigated Wheat Cropping Systems," Sustainability, MDPI, vol. 14(7), pages 1-19, March.
    21. Heidari, Mohammad Davoud & Turner, Ian & Ardestani-Jaafari, Amir & Pelletier, Nathan, 2021. "Operations research for environmental assessment of crop-livestock production systems," Agricultural Systems, Elsevier, vol. 193(C).
    22. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2020. "Energy and carbon footprints of wheat establishment following different rice residue management strategies vis-à-vis conventional tillage coupled with rice residue burning in north-western India," Energy, Elsevier, vol. 200(C).
    23. Noorollahi, Younes & Pourarshad, Meysam & Veisi, Alireza, 2021. "The synergy of renewable energies for sustainable energy systems development in oil-rich nations; case of Iran," Renewable Energy, Elsevier, vol. 173(C), pages 561-568.
    24. Bhunia, Snehasish & Karmakar, Subrata & Bhattacharjee, Suvendu & Roy, Kingshuk & Kanthal, Sahely & Pramanick, Mahadev & Baishya, Aniket & Mandal, Biswapati, 2021. "Optimization of energy consumption using data envelopment analysis (DEA) in rice-wheat-green gram cropping system under conservation tillage practices," Energy, Elsevier, vol. 236(C).
    25. Julio R. G mez Sarduy & Percy R. Viego Felipe & Yamile D az Torres & Mario A. lvarez-Guerra Plascencia & Vladimir Sousa Santos & Dries Haeseldonckx, 2018. "A New Energy Performance Indicator for Energy Management System of a Wheat Mill Plant," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 324-330.

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