Integration of life-cycle indicators into energy optimisation models: The case study of power generation in Norway

Diego García-Gusano, Diego Iribarren, Mario Martín-Gamboa, Javier Dufour, Kari Espegren, Arne Lind

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)

Abstract

This work presents methodological advances in the integration of life-cycle indicators into energy system optimisation models. Challenges in hybridising energy modelling and Life Cycle Assessment (LCA) methodologies are summarised, which includes imbalances in electricity trade processes and double counting of emissions. A robust framework for the soft-linking of LCA and TIMES is proposed for application to the case study of power generation in Norway. The TIMES-Norway model is used, taking into account the base-case scenario with a time frame from 2010 to 2050. Results show that the life-cycle indicators implemented (climate change, ecosystem quality, and human health) evolve in accordance with the appearance of new power generation technologies. Thus, life-cycle impacts are linked to the entrance of new wind turbines from 2014 to 2035 and, from then on, to the new hydropower run-of-river plants.

Original languageEnglish
Pages (from-to)2693-2696
Number of pages4
JournalJournal of Cleaner Production
Volume112
DOIs
Publication statusPublished - 20 Jan 2016

Keywords

  • Electricity
  • Energy modelling
  • Hybridisation
  • Indicator
  • Life Cycle Assessment
  • TIMES model

Fingerprint

Dive into the research topics of 'Integration of life-cycle indicators into energy optimisation models: The case study of power generation in Norway'. Together they form a unique fingerprint.

Cite this