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Demand-side strategies enable rapid and deep cuts in buildings and transport emissions to 2050

Abstract Decarbonization of energy-using sectors is essential for tackling climate change. We use an ensemble of global integrated assessment models to assess CO2 emissions reduction potentials in buildings and transport, accounting for system interactions. We focus on three intervention strategies with distinct emphases: reducing or changing activity, improving technological efficiency and electrifying energy end use. We find that these strategies can reduce emissions by 51–85% in buildings and 37–91% in transport by 2050 relative to a current policies scenario (ranges indicate model variability). Electrification has the largest potential for direct emissions reductions in both sectors. Interactions between the policies and measures that comprise the three strategies have a modest overall effect on mitigation potentials. However, combining different strategies is strongly beneficial from an energy system perspective as lower electricity demand reduces the need for costly supply-side investments and infrastructure.
- Utrecht University Netherlands
- University of Oxford United Kingdom
- International Institute for Applied Systems Analysis Austria
- Leibniz Association Germany
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
Energy efficiency, [SDE.ES] Environmental Sciences/Environment and Society, SDG 13 - Climate Action, 600, Climate-change policy, SDG 7 - Affordable and Clean Energy, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Climate-change mitigation, Energy and behaviour
Energy efficiency, [SDE.ES] Environmental Sciences/Environment and Society, SDG 13 - Climate Action, 600, Climate-change policy, SDG 7 - Affordable and Clean Energy, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Climate-change mitigation, Energy and behaviour
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
