RT Journal Article
T1 Integration of life-cycle indicators into energy optimisation models: 												The case study of power generation in Norway
A1 García-Gusano, Diego
A1 Iribarren, Diego
A1 Martín-Gamboa, Mario
A1 Dufour, Javier
A1 Espegren, Kari
A1 Lind, Arne
AB 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.
SN 0959-6526
YR 2016
FD 2016-01-20
LK https://hdl.handle.net/11556/4790
UL https://hdl.handle.net/11556/4790
LA eng
NO García-Gusano , D , Iribarren , D , Martín-Gamboa , M , Dufour , J , Espegren , K & Lind , A 2016 , ' Integration of life-cycle indicators into energy optimisation models : The case study of power generation in Norway ' , Journal of Cleaner Production , vol. 112 , pp. 2693-2696 . https://doi.org/10.1016/j.jclepro.2015.10.075
NO Publisher Copyright: © 2015 Elsevier Ltd. All rights reserved.
NO The authors would like to thank the EEA/NILS Science and Sustainability programme for financial support of the SuReTool project ( 006/ABEL-CM-2014 ).
DS TECNALIA Publications
RD 1 sept 2024