ECOPT 2 : An adaptable life cycle assessment model for the environmentally constrained optimization of prospective technology transitions

18264 6 99115 2 304144 document 99115 J of Industrial Ecology - 2022 - Hung - ECOPT2 An adaptable life cycle assessment model for the environmentally.pdf application/pdf 15c10eb830f9d2d287ebfbb016a94154 MD5 1069099 2022-10-05 08:41:40 https://pure.iiasa.ac.at/id/eprint/18264/1/J%20of%20Industrial%20Ecology%20-%202022%20-%20Hung%20-%20ECOPT2%20%20An%20adaptable%20life%20cycle%20assessment%20model%20for%20the%20environmentally.pdf 18264 1 1 application/pdf text en public cc_by_4

J of Industrial Ecology - 2022 - Hung - ECOPT2 An adaptable life cycle assessment model for the environmentally.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/99115 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/99115 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/99115 archive 353 disk0/00/01/82/64 2022-10-05 08:43:42 2022-10-05 08:43:42 2022-10-05 08:43:42 article show Hung C.R. Kishimoto P. 2210 0000-0002-8578-753X Krey V. 8099 0000-0003-0307-3515 Strømman A.H. Majeau‐Bettez G. ECOPT 2 : An adaptable life cycle assessment model for the environmentally constrained optimization of prospective technology transitions pub ECE IACC S3 prog_ysp emerging technologies; fleet modeling; industrial ecology; life cycle assessment; mathematical programming; transformation pathways Life cycle assessment (LCA) is a method to evaluate the environmental impacts of technologies from cradle to grave. However, LCAs are commonly defined in terms of the consumption of a single unit of a product and thus ignore scaling issues in large-scale deployment of technologies. Such product-level LCAs often do not consider capital manufacturing capacity and supply chain bottlenecks that may hinder the rapid, widespread uptake of emerging technologies entering the market; emerging technologies often require the expansion of existing supply chains or the development of entirely new supply chains, such as the manufacturing of novel materials. As a result, such LCA studies are limited in their ability to realistically assess impacts at the macro-scale and thus to guide large-scale decisions. In this work, we present ECOPT2, a generalized adaptable model that combines these constraints to the LCA approach using a mathematical programming approach and dynamic stock modeling. ECOPT2 combines LCA factors with transition scenarios from energy systems models to determine the environmentally optimal deployment of new technologies while accounting for material circularity constraints and barriers to uptake. We also introduce the structure of the software tool and demonstrate its features using a stylized vehicle electrification scenario. © 2022 The Authors. Journal of Industrial Ecology published by Wiley Periodicals LLC on behalf of International Society for Industrial Ecology. 2022 published Wiley-Blackwell doi:10.1111/jiec.13331 3104 166 public Journal of Industrial Ecology TRUE 1530-9290 no info:eu-repo/semantics/article