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Economic-energy-environment analysis of prospective sugarcane bioethanol production in Brazil

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  • de Carvalho, Ariovaldo Lopes
  • Antunes, Carlos Henggeler
  • Freire, Fausto

Abstract

Bioethanol from sugarcane can be produced using first-generation (1G) or second-generation (2G) technologies. 2G technologies can increase the capacity of production per sugarcane mass input and are expected to have a key role in future reductions of environmental impacts of sugarcane bioethanol. A hybrid Input-Output (IO) framework is developed for Brazil coupling the System of National Accounts and the National Energy Balance, which is extended to assess Greenhouse Gas (GHG) emissions. Life-cycle based estimates for two sugarcane cultivation systems, two 1G and eight 2G bioethanol production scenarios, are coupled in the IO framework. A multi-objective linear programming (MOLP) model is formulated based on this framework for energy-economic-environmental analysis of the Brazilian economic system and domestic bioethanol supply in prospective scenarios. Twenty-four solutions are computed: four “extreme” solutions resulting from the individual optimization of each objective function (GDP, employment level, total energy consumption and total GHG emissions - 1G scenario), ten compromise solutions minimizing the distance of the feasible region to the ideal solution (1G, 1G-optimized and prospective 1G+2G scenarios), and ten solutions maximizing the total bioethanol production (1G, 1G-optimized and prospective 1G+2G scenarios). Higher diesel oil and lubricants consumption in the mechanical harvesting process has counterbalanced the positive effects of more efficient trucks leading to higher energy consumption and GHG emissions. Lower overall employment level in the 1G+2G scenarios is achieved such that policies linked to reabsorption of sugarcane cutters in alternative activities are positive. Indirect effects from maximizing the bioethanol production increase the total energy consumption and the GHG emissions thus requiring efficiency measures and fossil energy substitution by cleaner sources. The integrated- or country-based analysis of the whole economic system has complemented the process design and process-based analysis, contributing to identify direct and indirect effects that can offset the benefits. Direct and indirect effects on the whole economic system have to be considered in policies and technological choices for prospective bioethanol production, since positive direct effects of 1G+2G plants can be counterbalanced by indirect impacts on other sectors, mainly from chemicals in the process.

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  • de Carvalho, Ariovaldo Lopes & Antunes, Carlos Henggeler & Freire, Fausto, 2016. "Economic-energy-environment analysis of prospective sugarcane bioethanol production in Brazil," Applied Energy, Elsevier, vol. 181(C), pages 514-526.
    • Handle: RePEc:eee:appene:v:181:y:2016:i:c:p:514-526
    DOI: 10.1016/j.apenergy.2016.07.122
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    1. Marcelo Pereira Da Cunha & Jose Antonio Scaramucci, 2006. "Bioethanol As Basis for Regional Development in Brazil: An Input-Output Model With Mixed Technologies," ERSA conference papers ersa06p242, European Regional Science Association.
    2. 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.
    3. Bicknell, Kathryn B. & Ball, Richard J. & Cullen, Ross & Bigsby, Hugh R., 1998. "New methodology for the ecological footprint with an application to the New Zealand economy," Ecological Economics, Elsevier, vol. 27(2), pages 149-160, November.
    4. Oliveira, Carla & Antunes, Carlos Henggeler, 2011. "A multi-objective multi-sectoral economy–energy–environment model: Application to Portugal," Energy, Elsevier, vol. 36(5), pages 2856-2866.
    5. da Costa, Cinthia Cabral & Burnquist, Heloisa Lee & Guilhoto, Joaquim José Martins, 2006. "Impacto de alterações nas exportações de açúcar e álcool nas regiões Centro-Sul e Norte-Nordeste sobre a economia do Brasil," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 44(4), January.
    6. Igos, Elorri & Rugani, Benedetto & Rege, Sameer & Benetto, Enrico & Drouet, Laurent & Zachary, Daniel S., 2015. "Combination of equilibrium models and hybrid life cycle-input–output analysis to predict the environmental impacts of energy policy scenarios," Applied Energy, Elsevier, vol. 145(C), pages 234-245.
    7. Hsu, George J. Y. & Chou, Feng-Ying, 2000. "Integrated planning for mitigating CO2 emissions in Taiwan: a multi-objective programming approach," Energy Policy, Elsevier, vol. 28(8), pages 519-523, July.
    8. de Carvalho, Ariovaldo Lopes & Henggeler Antunes, Carlos & Freire, Fausto & Oliveira Henriques, Carla, 2016. "A multi-objective interactive approach to assess economic-energy-environment trade-offs in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1429-1442.
    9. Cruz Jr., Jose B. & Tan, Raymond R. & Culaba, Alvin B. & Ballacillo, Jo-Anne, 2009. "A dynamic input-output model for nascent bioenergy supply chains," Applied Energy, Elsevier, vol. 86(Supplemen), pages 86-94, November.
    10. Chen, Tser-yieth, 2001. "The impact of mitigating CO2 emissions on Taiwan's economy," Energy Economics, Elsevier, vol. 23(2), pages 141-151, March.
    11. Chung, Whan-Sam & Tohno, Susumu & Shim, Sang Yul, 2009. "An estimation of energy and GHG emission intensity caused by energy consumption in Korea: An energy IO approach," Applied Energy, Elsevier, vol. 86(10), pages 1902-1914, October.
    12. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    13. Gay, Philip W. & Proops, John L.R., 1993. "Carbon---dioxide production by the UK economy: An input-output assessment," Applied Energy, Elsevier, vol. 44(2), pages 113-130.
    14. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    15. Moulik, T. K. & Dholakia, B. H. & Dholakia, R. H. & Ramani, K. V. & Shukla, P. R., 1992. "Energy planning in India : The relevance of regional planning for national policy," Energy Policy, Elsevier, vol. 20(9), pages 836-846, September.
    16. Hristu-Varsakelis, D. & Karagianni, S. & Pempetzoglou, M. & Sfetsos, A., 2010. "Optimizing production with energy and GHG emission constraints in Greece: An input-output analysis," Energy Policy, Elsevier, vol. 38(3), pages 1566-1577, March.
    17. Khatiwada, Dilip & Leduc, Sylvain & Silveira, Semida & McCallum, Ian, 2016. "Optimizing ethanol and bioelectricity production in sugarcane biorefineries in Brazil," Renewable Energy, Elsevier, vol. 85(C), pages 371-386.
    18. Burnquist, H. L. & Costa, C. C. & Guilhoto, J. J. M., 2004. "Impacts of Changes In Regional Sugar and Ethanol Exports Upon Brazilian Overall Economy," MPRA Paper 38327, University Library of Munich, Germany.
    19. Chung, Whan-Sam & Tohno, Susumu & Choi, Ki-Hong, 2011. "Socio-technological impact analysis using an energy IO approach to GHG emissions issues in South Korea," Applied Energy, Elsevier, vol. 88(11), pages 3747-3758.
    20. Oliveira, Carla & Antunes, Carlos Henggeler, 2004. "A multiple objective model to deal with economy-energy-environment interactions," European Journal of Operational Research, Elsevier, vol. 153(2), pages 370-385, March.
    21. Herman E. Daly, 1968. "On Economics as a Life Science," Journal of Political Economy, University of Chicago Press, vol. 76(3), pages 392-392.
    22. Carvalho, Ariovaldo Lopes de & Antunes, Carlos Henggeler & Freire, Fausto & Henriques, Carla Oliveira, 2015. "A hybrid input–output multi-objective model to assess economic–energy–environment trade-offs in Brazil," Energy, Elsevier, vol. 82(C), pages 769-785.
    23. Bush, Ruth & Jacques, David A. & Scott, Kate & Barrett, John, 2014. "The carbon payback of micro-generation: An integrated hybrid input–output approach," Applied Energy, Elsevier, vol. 119(C), pages 85-98.
    24. Compeán, Roberto Guerrero & Polenske, Karen R., 2011. "Antagonistic bioenergies: Technological divergence of the ethanol industry in Brazil," Energy Policy, Elsevier, vol. 39(11), pages 6951-6961.
    25. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
    26. Guilhoto, Joaquim José Martins & Sesso Filho, Umberto Antonio, 2010. "Estimação da matriz insumo-produto utilizando dados preliminares das contas nacionais: aplicação e análise de indicadores econômicos para o Brasil em 2005 [Estimation of input-output matrix using p," MPRA Paper 37539, University Library of Munich, Germany.
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