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Combination of equilibrium models and hybrid life cycle-input–output analysis to predict the environmental impacts of energy policy scenarios

Elorri Igos, Benedetto Rugani, Sameer Rege, Enrico Benetto, Laurent Drouet and Daniel S. Zachary

Applied Energy, 2015, vol. 145, issue C, 234-245

Abstract: Nowadays, many countries adopt an active agenda to mitigate the impact of greenhouse gas emissions by moving towards less polluting energy generation technologies. The environmental costs, directly or indirectly generated to achieve such a challenging objective, remain however largely underexplored. Until now, research has focused either on pure economic approaches such as Computable General Equilibrium (CGE) and partial equilibrium (PE) models, or on (physical) energy supply scenarios. These latter could be used to evaluate the environmental impacts of various energy saving or cleaner technologies via Life Cycle Assessment (LCA) methodology. These modelling efforts have, however, been pursued in isolation, without exploring the possible complementarities and synergies. In this study, we have undertaken a practical combination of these approaches into a common framework: on the one hand, by coupling a CGE with a PE model, and, on the other hand, by linking the outcomes from the coupling with a hybrid input–output−process based life cycle inventory. The methodological framework aimed at assessing the environmental consequences of two energy policy scenarios in Luxembourg between 2010 and 2025.

Keywords: Computable General Equilibrium model; Partial Equilibrium model; Energy policy; Life Cycle Assessment; Consequential; Input–Output (search for similar items in EconPapers)
Date: 2015
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Working Paper: Combination of Equilibrium Models and Hybrid Life Cycle–Input-Output Analysis to Predict the Environmental Impacts of Energy Policy Scenarios (2015) Downloads
Working Paper: Combination of Equilibrium Models and Hybrid Life Cycle–Input-Output Analysis to Predict the Environmental Impacts of Energy Policy Scenarios (2015) Downloads
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DOI: 10.1016/j.apenergy.2015.02.007

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