Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 99, Issue -, Pages 111-125Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2017.09.010
Keywords
Life cycle assessment (LCA); Integrated assessment model (IAM); THEMIS; Climate change mitigation; Transformation pathways; Sustainability assessment
Categories
Funding
- European Union's Seventh Programme [308329]
- Research Council of Norway through Centre for Sustainable Energy Studies [209697]
- European Union's Horizon 2020 research and innovation programme [689150]
- H2020 Societal Challenges Programme [689150] Funding Source: H2020 Societal Challenges Programme
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The fields of life cycle assessment (LCA) and integrated assessment (IA) modelling today have similar interests in assessing macro-level transformation pathways with a broad view of environmental concerns. Prevailing IA models lack a life cycle perspective, while LCA has traditionally been static-and micro-oriented. We develop a general method for deriving coefficients from detailed, bottom-up LCA suitable for application in IA models, thus allowing IA analysts to explore the life cycle impacts of technology and scenario alternatives. The method decomposes LCA coefficients into life cycle phases and energy carrier use by industries, thus facilitating attribution of life cycle effects to appropriate years, and consistent and comprehensive use of IA model-specific scenario data when the LCA coefficients are applied in IA scenario modelling. We demonstrate the application of the method for global electricity supply to 2050 and provide numerical results (as supplementary material) for future use by IA analysts. (C) 2017 Elsevier Ltd. All rights reserved.
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