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Maize ethanol feedstock production and net energy value as affected by climate variability and crop management practices

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  • Persson, Tomas
  • Garcia y Garcia, Axel
  • Paz, Joel
  • Jones, Jim
  • Hoogenboom, Gerrit

Abstract

Ethanol from various plant resources, especially maize, is increasingly being used as a substitute for fossil fuels. The production potential of ethanol from maize varies with weather and climatic conditions and crop management practices. The merits and prospects of ethanol production have been evaluated based on its impact on greenhouse gas emissions, economic viability and national energy security. The net energy value (NEV), i.e. the output energy after all non-renewable energy inputs have been accounted for, is a measure of energy gain. At the same time, the NEV can be an indicator for the long-term sustainability of bio-ethanol production, regardless of other conditions e.g. climate change scenarios, global trade restrictions, or local variability in natural resources such as water availability. Crop management practices directly affect the NEV of ethanol. Moreover, both crop management practices and climate variability affect the NEV through the grain yield. The objective of this study was to assess the impact of crop management practices and climate variability on grain yield of maize for ethanol production and ethanol NEV for conditions that represent the southeastern USA. Maize grain yield was simulated with the dynamic crop growth model CSM-CERES-Maize and ethanol NEV was calculated using the simulated yield levels and crop management practices. The simulations were conducted for conditions representing Mitchell County, Georgia, USA, using weather data from 1939 to 2006 and local soil profile information. The impact of irrigation, nitrogen fertilizer, planting date and El Niño Southern Oscillation (ENSO) phases were determined for the maize cultivars DeKalb DKC 61-72 (RR2), Pioneer 31D58 and Pioneer 31G98. Crop management practices and ENSO phase had a significant impact on ethanol feedstock production and NEV. The NEV of ethanol produced from irrigated maize was more than two times higher and varied less than the NEV of ethanol from rainfed maize. NEV of ethanol produced from maize grown during La Niña years was significantly higher than maize grown during El Niño years, both under rainfed and irrigated conditions. This study showed the importance of crop management practices and climate variability on ethanol feedstock productivity and long-term energy sustainability as assessed by the NEV. We discuss methods of implementing the findings of this study in practical farming e.g. through market mechanisms and governmental initiatives.

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  • Persson, Tomas & Garcia y Garcia, Axel & Paz, Joel & Jones, Jim & Hoogenboom, Gerrit, 2009. "Maize ethanol feedstock production and net energy value as affected by climate variability and crop management practices," Agricultural Systems, Elsevier, vol. 100(1-3), pages 11-21, April.
    • Handle: RePEc:eee:agisys:v:100:y:2009:i:1-3:p:11-21
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    1. Ojeda, Jonathan J. & Volenec, Jeffrey J. & Brouder, Sylvie M. & Caviglia, Octavio P. & Agnusdei, Mónica G., 2018. "Modelling stover and grain yields, and subsurface artificial drainage from long-term corn rotations using APSIM," Agricultural Water Management, Elsevier, vol. 195(C), pages 154-171.
    2. Sushil R. Poudel & Md Abdul Quddus & Mohammad Marufuzzaman & Linkan Bian & Reuben F. Burch V, 2019. "Managing congestion in a multi-modal transportation network under biomass supply uncertainty," Annals of Operations Research, Springer, vol. 273(1), pages 739-781, February.
    3. Li, Lin & Sun, Zeyi & Yao, Xufeng & Wang, Donghai, 2016. "Optimal production scheduling for energy efficiency improvement in biofuel feedstock preprocessing considering work-in-process particle separation," Energy, Elsevier, vol. 96(C), pages 474-481.
    4. Chen, Chien-Wei & Fan, Yueyue, 2012. "Bioethanol supply chain system planning under supply and demand uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 150-164.
    5. Eckert, C.T. & Frigo, E.P. & Albrecht, L.P. & Albrecht, A.J.P. & Christ, D. & Santos, W.G. & Berkembrock, E. & Egewarth, V.A., 2018. "Maize ethanol production in Brazil: Characteristics and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3907-3912.
    6. Guo, Changqiang & Hu, Hao & Wang, Shaowen & Rodriguez, Luis F. & Ting, K.C. & Lin, Tao, 2022. "Multiperiod stochastic programming for biomass supply chain design under spatiotemporal variability of feedstock supply," Renewable Energy, Elsevier, vol. 186(C), pages 378-393.
    7. Salazar, M.R. & Hook, J.E. & Garcia y Garcia, A. & Paz, J.O. & Chaves, B. & Hoogenboom, G., 2012. "Estimating irrigation water use for maize in the Southeastern USA: A modeling approach," Agricultural Water Management, Elsevier, vol. 107(C), pages 104-111.
    8. Jane Ebinger & Walter Vergara, 2011. "Climate Impacts on Energy Systems : Key Issues for Energy Sector Adaptation," World Bank Publications - Books, The World Bank Group, number 2271.
    9. Schaeffer, Roberto & Szklo, Alexandre Salem & Pereira de Lucena, André Frossard & Moreira Cesar Borba, Bruno Soares & Pupo Nogueira, Larissa Pinheiro & Fleming, Fernanda Pereira & Troccoli, Alberto & , 2012. "Energy sector vulnerability to climate change: A review," Energy, Elsevier, vol. 38(1), pages 1-12.
    10. Prem Woli & Joel Paz, 2014. "Crop Management Effects on the Energy and Carbon Balances of Maize Stover-Based Ethanol Production," Energies, MDPI, vol. 8(1), pages 1-26, December.
    11. Poudel, Sushil Raj & Marufuzzaman, Mohammad & Bian, Linkan, 2016. "A hybrid decomposition algorithm for designing a multi-modal transportation network under biomass supply uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 1-25.
    12. Anita Konieczna & Kamil Roman & Monika Roman & Damian Śliwiński & Michał Roman, 2020. "Energy Efficiency of Maize Production Technology: Evidence from Polish Farms," Energies, MDPI, vol. 14(1), pages 1-20, December.
    13. Dong Hee Suh & Charles B. Moss, 2016. "Dynamic interfeed substitution: implications for incorporating ethanol byproducts into feedlot rations," Applied Economics, Taylor & Francis Journals, vol. 48(20), pages 1893-1901, April.

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