ECOPT2: An adaptable life cycle assessment model for the environmentally constrained optimization of prospective technology transitions. (28th September 2022)

• Record Type: Journal Article
• Authors: Hung, Christine Roxanne; Kishimoto, Paul; Krey, Volker; Strømman, Anders Hammer; Majeau‐Bettez, Guillaume
• Is Part Of: Journal of industrial ecology. Volume 26:Number 5(2022)
• Page Start: 1616
• Page End: 1630
• Publication Date: 2022-09-28
• Subjects: emerging technologies -- fleet modeling -- industrial ecology -- life cycle assessment -- mathematical programming -- transformation pathways; Industrial ecology -- Periodicals; Product life cycle -- Environmental aspects -- Periodicals; Industrial management -- Environmental aspects -- Periodicals; Écologie industrielle -- Périodiques; 658.56
• DOI: 10.1111/jiec.13331
• Languages: English
• ISSNs: 1088-1980

Abstract

Abstract: 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 ECOPT 2, a generalized adaptable model that combines these constraints to the LCA approach using a mathematical programming approach and dynamic stock modeling. ECOPT 2 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.