Browse by Author
van Heerden, R., Edelenbosch, O.Y., Daioglou, V., Le Gallic, T., Baptista, L.B., Di Bella, A., Colelli, F.P., Emmerling, J., Fragkos, P., Hasse, R., Hoppe, J., Kishimoto, P. ORCID: https://orcid.org/0000-0002-8578-753X, Leblanc, F., Lefèvre, J., Luderer, G., Marangoni, G., Mastrucci, A.
ORCID: https://orcid.org/0000-0002-5611-7780, Pettifor, H., Pietzcker, R., Rochedo, P. et al.
(2025).
Demand-side policies can significantly reduce emissions from energy use in buildings and transport.
Nature Energy 10.1038/s41560-025-01721-z.
(In Press)
van Heerden, R., Edelenbosch, O.Y., Daioglou, V., Le Gallic, T., Baptista, L.B., Di Bella, A., Colelli, F.P., Emmerling, J., Fragkos, P., Hasse, R., Hoppe, J., Kishimoto, P. ORCID: https://orcid.org/0000-0002-8578-753X, Leblanc, F., Lefèvre, J., Luderer, G., Marangoni, G., Mastrucci, A.
ORCID: https://orcid.org/0000-0002-5611-7780, Pettifor, H., Pietzcker, R., Rochedo, P. et al.
(2025).
Demand-side strategies enable rapid and deep cuts in buildings and transport emissions to 2050.
Nature Energy 10.1038/s41560-025-01703-1.
(In Press)
Soergel, B., Rauner, S., Daioglou, V., Weindl, I., Mastrucci, A. ORCID: https://orcid.org/0000-0002-5611-7780, Carrer, F., Kikstra, J.
ORCID: https://orcid.org/0000-0001-9405-1228, Ambrósio, G., Aguiar, A.P.D., Baumstark, L., Bodirsky, B.L., Bos, A., Dietrich, J.P., Dirnaichner, A., Doelman, J.C., Hasse, R., Hernandez, A., Hoppe, J., Humpenöder, F., Iacobuţă, G.I. et al.
(2024).
Multiple pathways towards sustainable development goals and climate targets.
Environmental Research Letters 19 (12), e124009. 10.1088/1748-9326/ad80af.
Richters, O., Kriegler, E., Al Khourdajie, A. ORCID: https://orcid.org/0000-0003-1376-7529, Bertram, C., Bresch, D., Cui, R., Edmonds, J., Hackstock, P., Hurst, I., Kikstra, J.
ORCID: https://orcid.org/0000-0001-9405-1228, Klein, D., Kotz, M., Kropf, C., Lewis, J., Liadze, I., Mandaroux, R., Meinshausen, M., Min, J.
ORCID: https://orcid.org/0000-0002-0020-1174, Nicholls, Z., Piontek, F. et al.
(2024).
NGFS Climate Scenarios Data Set V.5.
10.5281/zenodo.5782903.