Clean Energy Technology Observatory - Impacts of enhanced learning rates for clean energy technologies on global energy system scenarios - Energy system modelling for clean energy technology scenarios

Andreas Schmitz (), Burkhard Schade (), Rafael Garaffa (), Kimon Keramidas (), Paul Dowling (), Florian Fosse (), Ana Diaz, Peter Russ () and Matthias Weitzel ()
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Andreas Schmitz: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Burkhard Schade: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Rafael Garaffa: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Kimon Keramidas: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Paul Dowling: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Florian Fosse: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Peter Russ: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Matthias Weitzel: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en

No JRC140568, JRC Research Reports from Joint Research Centre

Abstract: "This study examines the impacts of enhancing technology progress in clean energy technologies on the global energy system and economy. The analysis focuses on eight thematic technology groups, including wind, solar, batteries, hydrogen and fuel cells, carbon capture, direct air capture and synfuels, biofuels, and heat pumps. Two policy scenarios are considered: a 2°C scenario with stringent carbon policies and a Reference scenario driven primarily by market forces.The study examines the technology adoption patterns within each technology group for the two scenarios, highlighting the differences in the evolution of costs, capacities and production. Moreover, the study analyses the overall impacts in terms of CO2 reduction, investment needs and energy supply costs of enhanced learning within each technology group, as well as for combining enhanced learning across multiple technology groups. The results show that enhanced learning can lead to significant reductions in greenhouse gas emissions, investment needs, and energy supply costs. Moreover, enhanced learning results in favourable in socio-economic outcomes (e.g. economy-wide investments, consumption and energy prices). However, the study suggests that enhancing technology progress is not at all a substitute for stringent climate policies to reduce CO2 emissions."

Date: 2025-03
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