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 language | English |
|---|---|
| Pages (from-to) | 2693-2696 |
| Number of pages | 4 |
| Journal | Journal of Cleaner Production |
| Volume | 112 |
| DOIs | |
| Publication status | Published - 20 Jan 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action
Keywords
- Electricity
- Energy modelling
- Hybridisation
- Indicator
- Life Cycle Assessment
- TIMES model
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