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

Rik van Heerden*, Oreane Y. Edelenbosch*, Vassilis Daioglou, Thomas Le Gallic, Luiz Bernardo Baptista, Alice Di Bella, Francesco Pietro Colelli, Johannes Emmerling, Panagiotis Fragkos, Robin Hasse, Johanna Hoppe, Paul Kishimoto, Florian Leblanc, Julien Lefèvre, Gunnar Luderer, Giacomo Marangoni, Alessio Mastrucci, Hazel Pettifor, Robert Pietzcker, Pedro RochedoBas van Ruijven, Roberto Schaeffer, Charlie Wilson, Sonia Yeh, Eleftheria Zisarou, Detlef van Vuuren

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)380-394
Number of pages15
JournalNature Energy
Volume10
Issue number3
Early online date5 Feb 2025
DOIs
Publication statusPublished - Mar 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Funding

This project received funding from the European Union\u2019s Horizon Europe research and innovation programmes, grant agreement number 821124 (NAVIGATE; to R.v.H., O.Y.E., V.D., T.L.G., L.B.B., A.D.B., F.P.C., J.E., P.F., R.H., J.H., P.K., F.L., J.L., G.L., G.M., A.M., H.P., R.P., P.R., B.v.R., R.S., C.W., S.Y., E.Z., D.v.V.) and number 101081604 (PRISMA; to R.v.H., V.D., T.L.G., A.D.B., J.E., P.F., F.L., J.L., G.L., A.M., H.P., R.P., B.v.R., C.W., D.v.V.). Parts of this work, based on preliminary results, have been previously published in NAVIGATE project reports and presentations. The PIK team acknowledges funding from the German Federal Ministry of Education and Research under grant agreement number 03SFK5A-2 (Ariadne; to J.H., R.H., G.L., R.P.). C.W. acknowledges funding from the European Research Council under grant agreement 101003083 (iDODDLE).

FundersFunder number
European Union’s Horizon Europe research and innovation programmes101081604, 821124
Bundesministerium für Bildung und Forschung03SFK5A-2
European Research Council101003083

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