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Exploring the link between the EU emissions trading system and net-zero emission neighbourhoods.

Authors :
Backe, Stian
Pinel, Dimitri
Askeland, Magnus
Lindberg, Karen Byskov
Korpås, Magnus
Tomasgard, Asgeir
Source :
Energy & Buildings. Feb2023, Vol. 281, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• We present soft linking of energy system capacity expansion models. • Zero emission neighbourhoods make European decarbonization more cost-efficient. • Neighbourhood energy systems replace investments in nuclear, wind, and fossil gas. • Politically decreasing EU ETS emission caps earlier could avoid CO 2 price spikes. Climate policy is transforming the energy system and the building sector. Since these sectors overlap, we need to understand how the short-term operational link between them impact their long-term development subject to overlapping climate policies. This paper investigates how the integrated development of the European heat and electricity system is influenced by net-zero emission neighbourhoods that compensate own carbon emissions with local renewable energy. The study is made in the context of EUs emission trading system. In our approach, we soft-link two mathematical programming models to couple energy transition policies at the European level with the neighbourhood scale. Results suggest that zero emission neighbourhoods make European decarbonisation more cost-efficient. When low carbon energy technologies in neighbourhoods become competitive, investments in large-scale technologies are reduced on the European level, including nuclear and fossil gas power and heating. Thus, early policy support to neighbourhood technologies could prevent stranded assets later in the transition. Further, results imply that more stringent emission caps earlier could help avoiding CO 2 allowance price spikes later. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787788
Volume :
281
Database :
Academic Search Index
Journal :
Energy & Buildings
Publication Type :
Academic Journal
Accession number :
161600049
Full Text :
https://doi.org/10.1016/j.enbuild.2022.112731