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Consequential and attributional environmental assessment of biofuels: implications of modelling choices on climate change mitigation strategies

  • PROMOTING SUSTAINABILITY IN EMERGING ECONOMIES VIA LIFE CYCLE THINKING
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Abstract

Purpose

The study aims to assess climate change mitigation potentials when using biomass-based fuels to replace fossil energy under consequential and attributional modelling approaches. The objectives are also to determine policy implications and to recommend the specific contexts suitable for each modelling choice by using specific illustrative cases on biofuels.

Methods

Consequential and attributional modelling approaches are chosen for life cycle greenhouse gas emission assessment of several bioenergy options. The assessed functional unit is 1 MJ of energy from molasses-based ethanol, palm-based biodiesel and electricity production from rice straw. The fossil fuel comparators are gasoline (for molasses-based ethanol), diesel (for palm-based biodiesel) and coal and gas (for rice straw). The substituted and substituting product systems are modelled under the global and national markets depending on the market delimitation of each product.

Results and discussion

The climate change mitigation potentials when using different approaches are dissimilar, because the affected product systems being included in the analysis are not the same. The palm biodiesel could reduce greenhouse gas emissions. The molasses-based ethanol and rice straw-based electricity may or may not mitigate the climate change, since it depends on the methodological choices as well as the baseline situations of the product systems being investigated. The main characteristics of consequential modelling as additionality and the inclusion of only actually affected processes under market-based mechanisms while those of attributional modelling as specification and attribution/allocation have limitations. The limitations lead to potential risks on unintended and undesirable consequences (for the attributional model), unfairness and sub-optimisation (for the consequential model) in policy recommendations.

Conclusions

This research clearly illustrates how certain modelling choices affect the climate change mitigation potentials of biomass-based fuels in comparison with fossil energy. Specific questions and conditions which could be more suitable for each modelling choice are addressed. The attributional modelling is more suitable for national environmental taxation and emission labelling/accounting for import-export, while the consequential modelling is more appropriate for new production development and eco-design. Due to the potential environmental risks arising from the modelling limitations, the consideration of both the widely applied approaches could support decisions more comprehensively.

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References

  • Anex R, Lifset R (2014) Life cycle assessment: different models for different purposes. J Ind Ecol 18(3):321–323

    Article  Google Scholar 

  • Brandão M, Weidema B (2013) LCA data modelling: The consequential approach. In: De Camillis C, Brandão M, Zamagni A, Pennington D (eds) Sustainability assessment of future-oriented scenarios: a review of data modelling approaches in life cycle Assessment. Towards recommendations for policy making and business strategies. European Commission, Joint Research Centre, Institute for Environment and Sustainability, Publications Office of the European Union, Luxembourg, pp 17–20

    Google Scholar 

  • Brandão M, Clift R, Cowie A, Greenhalgh S (2014) The use of life cycle assessment in the support of robust (climate) policy making: comment on “using attributional life cycle Assessment to estimate climate-change mitigation …”. J Ind Ecol 18(3):461–463

    Article  Google Scholar 

  • Dale BE, Kim S (2014) Can the predictions of consequential life cycle assessment be tested in the real world? Comment on “using attributional life cycle assessment to estimate climate-change mitigation...”. J Ind Ecol 18(3):466–467

    Article  Google Scholar 

  • Dalgaard R, Schmidt J, Flysjö A (2014) Generic model for calculating carbon footprint of milk using four different life cycle assessment modelling approaches. J Clean Prod 73:146–153

  • De Camillis C, Zamagni A, Bauer C (2013) LCA data modelling: the attributional approach. In: De Camillis C, Brandão M, Zamagni A, Pennington D (eds) Sustainability assessment of future-oriented scenarios: a review of data modelling approaches in life cycle assessment. Towards recommendations for policy making and business strategies. European Commission, Joint Research Centre, Institute for Environment and Sustainability, Publications Office of the European Union, Luxembourg, pp 9–16

    Google Scholar 

  • DEDE (2015) The alternative energy development plan (AEDP): 2015 (in Thai). Department of Alternative Energy Development and Efficiency (DEDE), Ministry of Energy, Bangkok http://www.dede.go.th/download/files/AEDP2015_Final_version.pdf. Accessed May 2017

    Google Scholar 

  • Delivand MK, Barz M, Gheewala SH, Sajjakulnukit B (2011) Economic feasibility assessment of rice straw utilization for electricity generating through combustion in Thailand. Appl Energy 88:3651–3658

  • Delivand MK, Barz M, Gheewala SH, Sajjakulnukit B (2012) Environmental and socio-economic feasibility assessment of rice straw conversion to power and ethanol in Thailand. J Clean Prod 37:29–41

  • Earles JM, Halog A (2011) Consequential life cycle assessment: a review. Int J Life Cycle Assess 16:445–453

    Article  Google Scholar 

  • EC (2013) Commission recommendation on the use of common methods to measure and communicate the life cycle environmental performance of products and organisations 2013/179/EU, annex II: product environmental footprint (PEF) guide. European Commission, Brussels, p 140

    Google Scholar 

  • ecoinvent Centre (2010) Ecoinvent data v2.2. Final reports ecoinvent v2.2 no. 1–25. Swiss Centre for Life Cycle Inventories, Dübendorf

    Google Scholar 

  • Ekvall T, Tillman A-M, Molander S (2005) Normative ethics and methodology for life cycle assessment. J Clean Prod 13:1225–1234

    Article  Google Scholar 

  • Esther NG (2013) Asian ethanol mandates shifting goal posts. Asia ethanol. Insight, October 2013:34–39

    Google Scholar 

  • FAOSTAT (2014) FAOSTAT, Food and Agriculture Organization of the United Nations. http://faostat.fao.org/. Accessed October 2014

  • Flysjö A, Cederberg C, Henriksson M, Ledgard S (2012) The interaction between milk and beef production and emissions from land use change? critical considerations in life cycle assessment and carbon footprint studies of milk. J Clean Prod 28:134–142

  • Gheewala SH, Silalertruksa T, Prasara AJ, Prapaspongsa T, Jakrawatana N, Pongpat P, Sawaengsak W, Permpool N, Chatwachirawong P, Leal MRLV (2017) Sustainability assessment of sugarcane complex for enhancing competitiveness of Thai sugarcane industry. Final report. National Science and Technology Development Agency

  • Hertwich E (2014) Understanding the climate mitigation benefits of product systems: comment on “using attributional life cycle assessment to estimate climate-change mitigation…”. J Ind Ecol 18(3):464–465

    Article  Google Scholar 

  • IPCC (2007) Climate Change 2007. IPCC fourth assessment report. The Physical Science Basis. http://www.ipcc.ch/ipccreports/ar4-wg1.htm. Accessed January 2016

  • Kaewmai R, H-Kittikun A, Suksaroj C, Musikavong C (2013) Alternative technologies for the reduction of greenhouse gas emissions from palm oil mills in Thailand. Environ Sci Technol 47:12417–12425

    Article  CAS  Google Scholar 

  • Lechón Y (2011) GHG emissions from biofuels. The Spanish perspective. EUROCLIMA Project. Expert Consultation on Green House Gases emissions from biofuels and bioenergy. Buenos Aires, Argentina, 29–30 March 2011. http://iet.jrc.ec.europa.eu/remea/events/green-house-gases-emissions-biofuels-and-bioenergy. Accessed May 2017

  • Lechón Y, Herrera I, Lago C, López JS, Cuadrado LR (2011) Evaluación del balance de gases de efecto invernadero en la producción de biocarburantes. Estudio Técnico PER 2011–2020. IDAE, Instituto para la Diversificacion y Ahorro de la Energía. (in Spanish). http://www.idae.es/uploads/documentos/documentos_11227_e7_GEI_biocarburantes_A_febef7a7.pdf. Accessed May 2017

  • Martin EW, Chester MV, Vergara SE (2015) Attributional and consequential life-cycle assessment in biofuels: a review of recent literature in the context of system boundaries. Curr Sustainable Renewable Energy Rep 2:82–89

    Article  Google Scholar 

  • OAE (Office of Agricultural Economics) (2015) Agricultural statistics of Thailand 2014. OAE, Minitry of Agriculture and Co-operatives, Bangkok

    Google Scholar 

  • OAE and GIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit) (2012) Greenhouse gas calculation guideline for Thai palm oil industry under the project of sustainable palm oil production for bioenergy. OAE and GIZ, Bangkok

    Google Scholar 

  • OECD/IEA (2014) World energy outlook 2014. International Energy Agency (IEA), Paris

    Google Scholar 

  • OECD/IEA (2015) World energy outlook 2015. International Energy Agency (IEA), Paris

    Google Scholar 

  • ONEP (2015) Thailand’s Intended Nationally Determined Contribution (INDC). Office of Natural Resources and Environmental Policy and Planning (ONEP). http://www4.unfccc.int/submissions/INDC/Published%20Documents/Thailand/1/Thailand_INDC.pdf. Accessed May 2017

  • Pehnt M (2006) Dynamic life cycle assessment (LCA) of renewable energy technologies. Renew Energ 31(1):55–71

    Article  Google Scholar 

  • Pelletier N, Ardente F, Brandão M, De Camillis C, Pennington D (2015) Rationales for and limitations of preferred solutions for multi-functionality problems in LCAL is increased consistency possible? Int J Life Cycle Assess 20:74–86

    Article  Google Scholar 

  • Phumpradab K, Gheewala SH, Sagisaka M (2009) Life cycle assessment of natural gas power plants in Thailand. Int J Life Cycle Assess 14:354–363

    Article  CAS  Google Scholar 

  • Plevin RJ, Delucchi MA, Creutzig F (2014a) Using attributional life cycle assessment to estimate climate-change mitigation benefits misleads policy makers: attributional LCA can mislead policy makers. J Ind Ecol 18(1):73–83

    Article  Google Scholar 

  • Plevin RJ, Delucchi M, Creutzig F (2014b) Response to comments on “using attributional life cycle Assessment to estimate climate-change mitigation …”. J Ind Ecol 18(3):468–470

    Article  Google Scholar 

  • Plevin RJ, Delucchi M, Creutzig F (2014c) Response to “on the uncanny capabilities of consequential LCA” by Sangwon Suh and Yi Yang (Int J life cycle Assess, doi: 10.1007/s11367-014-0739-9). Int J Life Cycle Assess 19:1559–1560

    Article  Google Scholar 

  • Prapaspongsa T, Gheewala SH (2016) Risks of indirect land use impacts and greenhouse gas consequences: an Assessment of Thailand’s bioethanol policy. J Clean Prod 134:563–573

    Article  CAS  Google Scholar 

  • Prapaspongsa T, Kørnøv L (2012) Life cycle assessment of wood pellets for energy applications. A background report for the large-scale utilization of bio-pellets for energy application (LUBA) project – WP 1. Aalborg University, Denmark

    Google Scholar 

  • Prapaspongsa T, Musikavong C, Gheewala SH (2017) Life cycle assessment of palm biodiesel production in Thailand: impacts from modelling choices, co-product utilisation, improvement technologies, and land use change. J Clean Prod 153:435–447

    Article  Google Scholar 

  • Prox M, Curran MA (2017) Consequential Life Cycle Assessment. In: Curran MA (ed) Goal and scope definition in life cycle Assessment (pp. 145–160). LCA Compendium – The Complete world f of Life Cycle Assessment. Springer Science+Business Media, Dordrecht

    Google Scholar 

  • Sansiribhan S, Rewthong O, Rattanathanaophat A, Saensiriphan S (2014) Study of current the Rice straw potential for a small power plant capacity in the central region of Thailand. International Journal of Environmental, Ecological, Geological and Geophysical Engineering 8(1):27–30

    Google Scholar 

  • Saswattecha K, Hein L, Kroeze C, Jawjit W (2016) Effects of oil palm expansion through direct and indirect land use change in Tapi river basin, Thailand. International Journal of Biodiversity Science, Ecosystem Services & Management 12(4):291–313

    Google Scholar 

  • Schau EM, De Camillis C, Pant R (2013) The environmental footprint. In: De Camillis C, Brandão M, Zamagni A, Pennington D (eds) Sustainability assessment of future-oriented scenarios: a review of data modelling approaches in life cycle Assessment. Towards recommendations for policy making and business strategies. European Commission, Joint Research Centre, Institute for Environment and Sustainability, Publications Office of the European Union, Luxembourg, pp 24–31

    Google Scholar 

  • Schmidt JH (2007) Life cycle inventory of rapeseed oil and palm oil. Ph.D. thesis: life cycle inventory report. Department of Development and Planning, Aalborg University, Aalborg http://vbn.aau.dk/files/10388016/inventory_report (accessed May 2017)

    Google Scholar 

  • Schmidt JH (2015) Life cycle assessment of five vegetable oils. J Clean Prod 87:130–138

    Article  Google Scholar 

  • Schmidt JH, Brandão M (2013) LCA screening of biofuels - iLUC, biomass manipulation and soil carbon. http://concito.dk/files/dokumenter/artikler/biomasse_bilag1_lcascreening.pdf. Accessed May 2017

  • Schmidt JH, Weidema BP, Brandão M (2015) A framework for modelling indirect land use changes in life cycle assessment. J Clean Prod 99:230–238

    Article  Google Scholar 

  • Searchinger T, Heimlich R, Houghton RA, Dong F, Elobeid A, Fabiosa J, Tokgoz S, Hayes D, Yu T-H (2008) Use of U.S. croplands for biofuels increases greenhouse gases through emissions from land-use change. Science 319:1238–1240

    Article  CAS  Google Scholar 

  • Silalertruksa T, Gheewala SH (2009) Environmental sustainability assessment of bio-ethanol production in Thailand. Energy 34:1933–1946

    Article  CAS  Google Scholar 

  • Silalertruksa T, Gheewala SH (2011) Long-term bioethanol system and its implications on GHG emissions: a case study of Thailand. Environ Sci Technol 45:4920–4928

    Article  CAS  Google Scholar 

  • Silalertruksa T, Gheewala SH (2012a) Environmental sustainability assessment of palm biodiesel production in Thailand. Energy 43:306–314

    Article  CAS  Google Scholar 

  • Silalertruksa T, Gheewala SH (2012b) Food, fuel, and climate change. Is palm-based biodiesel a sustainable option for Thailand? J Ind Ecol 16(4):514–551

    Article  Google Scholar 

  • Silalertruksa T, Gheewala SH (2013) Sustainability assessment of palm biodiesel production in Thailand. In: Gupta VK, Tuohy MG (eds) Biofuel technologies. Springer-Verlag, Berlin Heidelberg, pp 29–49

    Chapter  Google Scholar 

  • Silalertruksa T, Gheewala SH, Pongpat P (2015) Sustainability assessment of sugarcane biorefinery and molasses ethanol production in Thailand using eco-efficiency indicator. Appl Energy 160:603–609

    Article  CAS  Google Scholar 

  • Silalertruksa T, Pongpat P, Gheewala SH (2017) Life cycle assessment for enhancing environmental sustainability of sugarcane biorefinery in Thailand. J Clean Prod 140:906–913

    Article  CAS  Google Scholar 

  • Suh S, Yang Y (2014) On the uncanny capabilities of consequential LCA. Int J Life Cycle Assess 19:1179–1184

    Article  Google Scholar 

  • Suttayakul P, H-Kittikun A, Suksaroj C, Mungkalasiri J, Wisansuwannakorn R, Musikavong C (2016) Water footprints of products of oil palm plantations and palm oil mills in Thailand. Sci Total Environ 542:521–529

    Article  CAS  Google Scholar 

  • TGO (2016) Emission factor - CFP. Thailand Greenhouse Gas Management Organization (TGO). http://thaicarbonlabel.tgo.or.th/admin/uploadfiles/emission/ts_822ebb1ed5.pdf. Accessed May 2017

  • TGO (2017) Emission factor - CFO. Thailand Greenhouse Gas Management Organization (TGO). http://thaicarbonlabel.tgo.or.th/admin/uploadfiles/emission/ts_11335ee08a.pdf. Accessed May 2017

  • UM Trading (2014) UM trading newsletter. Cane molasses – where did 1 million tonnes go? May 2014. http://www.umgroup.com/images/Trading-template_May14.pdf. Accessed May 2017

  • UN data (2014) UN data, commodity trade statistics database, United Nations Statistics Division (UNSD). http://data.un.org/browse.aspx?d=Comtrade. Accessed October 2014

  • UNEP/SETAC Life Cycle Initiative (2011) Global guidance principles for life cycle Assessment databases. UNEP, Paris

    Google Scholar 

  • Weidema BP (2003) Market information in life cycle assessment. Danish Environmental Protection Agency, Danish Ministry of the Environment. Environmental project no. 863. http://www2.mst.dk/Udgiv/publications/2003/87-7972-991-6/pdf/87-7972-992-4.pdf. Accessed May 2017

  • Weidema BP, Ekvall T, Heijungs R (2009) Guildelines for applications of deepened and broadened LCA. Deliverable D18 of work package 5 of the CALCAS project. Consequential LCA. http://www.lca-net.com/files/consequential_LCA_CALCAS_final.pdf. Accessed May 2017

  • Yuttitham M, Gheewala S, Chidthaisong A (2011) Carbon footprint of sugar produced from sugarcane in eastern Thailand. J Clean Prod 19:2119–2127

    Article  Google Scholar 

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Acknowledgements

Financial support from Thailand Research Fund and Mahidol University through the project “Development and Application of Consequential Life Cycle Assessment Method for Food and Fuel in Thailand and Asia” (grant no.TRG5780218) is acknowledged.

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Correspondence to Trakarn Prapaspongsa.

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Responsible editor: Pomthong Malakul

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Prapaspongsa, T., Gheewala, S.H. Consequential and attributional environmental assessment of biofuels: implications of modelling choices on climate change mitigation strategies. Int J Life Cycle Assess 22, 1644–1657 (2017). https://doi.org/10.1007/s11367-017-1355-2

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