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Maximizing Environmental Impact Savings Potential through Innovative Biorefinery Alternatives: An Application of the TM-LCA Framework for Regional Scale Impact Assessment

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  • Giovanna Croxatto Vega

    (Department of Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Joshua Sohn

    (Department of Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Sander Bruun

    (Department of Plant and Environmental Science, University of Copenhagen, 1165 København, Denmark)

  • Stig Irving Olsen

    (Department of Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Morten Birkved

    (Institute of Chemical Engineering, Biotechnology and Environmental Technology, The University of Southern Denmark, 5230 Odense, Denmark)

Abstract

In order to compare the maximum potential environmental impact savings that may result from the implementation of innovative biorefinery alternatives at a regional scale, the Territorial Metabolism-Life Cycle Assessment (TM-LCA) framework is implemented. With the goal of examining environmental impacts arising from technology-to-region (territory) compatibility, the framework is applied to two biorefinery alternatives, treating a mixture of cow manure and grape marc. The biorefineries produce either biogas alone or biogas and polyhydroxyalkanoates (PHA), a naturally occurring polymer. The production of PHA substitutes either polyethylene terephthalate (PET) or biosourced polylactide (PLA) production. The assessment is performed for two regions, one in Southern France and the other in Oregon, USA. Changing energy systems are taken into account via multiple dynamic energy provision scenarios. Territorial scale impacts are quantified using both LCA midpoint impact categories and single score indicators derived through multi-criteria decision assessment (MCDA). It is determined that in all probable future scenarios, a biorefinery with PHA-biogas co-production is preferable to a biorefinery only producing biogas. The TM-LCA framework facilitates the capture of technology and regionally specific impacts, such as impacts caused by local energy provision and potential impacts due to limitations in the availability of the defined feedstock leading to additional transport.

Suggested Citation

  • Giovanna Croxatto Vega & Joshua Sohn & Sander Bruun & Stig Irving Olsen & Morten Birkved, 2019. "Maximizing Environmental Impact Savings Potential through Innovative Biorefinery Alternatives: An Application of the TM-LCA Framework for Regional Scale Impact Assessment," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3836-:d:248212
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    References listed on IDEAS

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    1. Bugge, Jørgen & Kjær, Sven & Blum, Rudolph, 2006. "High-efficiency coal-fired power plants development and perspectives," Energy, Elsevier, vol. 31(10), pages 1437-1445.
    2. Annie Levasseur & Pascal Lesage & Manuele Margni & Réjean Samson, 2013. "Biogenic Carbon and Temporary Storage Addressed with Dynamic Life Cycle Assessment," Journal of Industrial Ecology, Yale University, vol. 17(1), pages 117-128, February.
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    Cited by:

    1. Felipe Romero-Perdomo & Miguel Ángel González-Curbelo, 2023. "Integrating Multi-Criteria Techniques in Life-Cycle Tools for the Circular Bioeconomy Transition of Agri-Food Waste Biomass: A Systematic Review," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    2. Spyridoula Gerassimidou & Olwenn V. Martin & Gilenny Yamily Feliz Diaz & Chaoying Wan & Dimitrios Komilis & Eleni Iacovidou, 2022. "Systematic Evidence Mapping to Assess the Sustainability of Bioplastics Derived from Food Waste: Do We Know Enough?," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    3. Luciano Vogli & Stefano Macrelli & Diego Marazza & Paola Galletti & Cristian Torri & Chiara Samorì & Serena Righi, 2020. "Life Cycle Assessment and Energy Balance of a Novel Polyhydroxyalkanoates Production Process with Mixed Microbial Cultures Fed on Pyrolytic Products of Wastewater Treatment Sludge," Energies, MDPI, vol. 13(11), pages 1-27, May.
    4. Su, Shu & Ju, Jingyi & Guo, Qiyue & Li, Xiaodong & Zhu, Yimin, 2023. "A temporally dynamic model for regional carbon impact assessment based on city information modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    5. Giovanna Croxatto Vega & Juliën Voogt & Joshua Sohn & Morten Birkved & Stig Irving Olsen, 2020. "Assessing New Biotechnologies by Combining TEA and TM-LCA for an Efficient Use of Biomass Resources," Sustainability, MDPI, vol. 12(9), pages 1-35, May.

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