4.8 Article

Space, time, and sustainability: The status and future of life cycle assessment frameworks for novel biorefinery systems

Journal

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 159, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2022.112259

Keywords

Life cycle assessment; Sustainable development; Circular bioeconomy; Biorefinery; Dynamic variability; Systems modelling

Funding

  1. European Union's Horizon 2020 research and innovation programme AgRefine under the Marie Sklodowska-Curie grant [860477]

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For stakeholders and decision makers in the bioeconomy, having holistic, reliable, and accurate sustainability assessment methodologies is crucial. This review paper discusses the methodological challenges in assessing advanced multifunctional systems in the bioeconomy, such as biorefineries, including considerations on goal, scope, and allocation methods, land use, biogenic carbon and emissions, impacts assessed, simplification of feedstocks and processes, regionality, and future systems. The review also addresses challenges in capturing social and economic impacts, and highlights the importance of temporal factors, regional differences, and integrating multidimensional approaches. Various methodologies, such as exergetic LCIA, natural capital assessment, and supply chain modeling, can be used to address spatial considerations, while process modeling, system dynamics modeling, and consequential LCA can address dynamic variability. Extended LCC, extended LCIA, and MCDA can address challenges in multidimensional sustainability integration.
For stakeholders and decision makers within the bioeconomy, it is important that sustainability assessment methodologies be holistic, reliable, and accurate. Life cycle assessment (LCA) methodologies are well-known for their ability to avoid burden shifting by considering the impacts of a product, process, or system throughout the full life cycle. However, when it comes to assessing advanced multifunctional systems within the bioeconomy i.e. biorefineries, methodological challenges arise. Such issues are discussed at length in this review paper, which include the goal, scope, and allocation methods, land use considerations, handling of biogenic carbon and emissions, impacts assessed, simplification of feedstocks and processes, regionality, and future foreground and background systems. Furthermore, the review discusses challenges in capturing social and economic impacts with LCA methodologies, with social assessments lacking data and appropriate quantitative indicators and economic assessments lacking diversity in stakeholder and cost inclusivity. Finally, this review confirms the importance of temporal factors, regional differences, and integrating multidimensional approaches to sustain ability analysis, highlighting developing LCA methodologies which successfully address these areas. Methodologies to address spatial considerations include exergetic LCIA, natural capital assessment, and integration of supply chain modelling, while methodologies to address dynamic variability include process modelling integration, system dynamics modelling integration, agent-based modelling integration, consequential LCA, prospective LCA, and dynamic LCIA. Finally, extended LCC, extended LCIA, and MCDA can address challenges identified in multidimensional sustainability integration.

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