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dc.contributor.authorKnobloch, F
dc.contributor.authorPollitt, H
dc.contributor.authorChewpreecha, U
dc.contributor.authorDaioglou, V
dc.contributor.authorMercure, J-F
dc.date.accessioned2019-02-04T16:29:45Z
dc.date.issued2018-07-05
dc.description.abstractWhole-economy scenarios for limiting global warming to 1.5 °C suggest that direct carbon emissions in the buildings sector should decrease to almost zero by 2050, but leave unanswered the question how this could be achieved by real-world policies. We simulate which policy measures could induce an almost complete decarbonisation of residential heating, the by far largest source of direct emissions in residential buildings. Under which assumptions is it possible, and how long would it take? We use the non-equilibrium bottom-up model FTT:Heat to simulate policies for a transition towards low-carbon heating in a context of inertia and bounded rationality, focusing on the uptake of heating systems. Our results indicate that the near-zero decarbonisation is achievable by 2050, but requires substantial policy efforts. We find that policy mixes are more effective for incentivising the uptake of fuel-efficient low-carbon technologies, compared to a residential carbon tax as the only policy. In combination with subsidies and procurement policies for renewables, near-complete decarbonisation could be achieved with a tax of 50–200 €/tCO2. Without being complimented by additional policies, carbon taxes show a decreasing marginal impact on total emission reductions, thus remaining insufficient for deep decarbonisation. In all scenarios, the decarbonisation of heating would increase projected heating costs faced by households initially, but could lead to cost reductions in most world regions in the medium term. We show that the potential impacts of policies highly depend on behavioural decision-making by households, especially in a context of deep decarbonisation and rapid transformation.en_GB
dc.description.sponsorshipEuropean Commissionen_GB
dc.identifier.citationVol. 12 (2), pp. 521–550en_GB
dc.identifier.doi10.1007/s12053-018-9710-0
dc.identifier.grantnumberENER/A4/2015-436/SER/S12.716128en_GB
dc.identifier.urihttp://hdl.handle.net/10871/35722
dc.language.isoenen_GB
dc.publisherSpringer Verlagen_GB
dc.rights© The Author(s) 2018. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en_GB
dc.subjectTechnology diffusionen_GB
dc.subjectLow-carbon heatingen_GB
dc.subject1.5 °C targeten_GB
dc.subjectBehavioural modellingen_GB
dc.titleSimulating the deep decarbonisation of residential heating for limiting global warming to 1.5 °Cen_GB
dc.typeArticleen_GB
dc.date.available2019-02-04T16:29:45Z
dc.identifier.issn1570-646X
dc.descriptionThis is the final version. Available on open access from Springer Verlag via the DOI in this recorden_GB
dc.identifier.journalEnergy Efficiencyen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2018-06-22
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2018-06-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-02-04T16:26:59Z
refterms.versionFCDVoR
refterms.dateFOA2019-02-04T16:29:47Z
refterms.panelCen_GB
refterms.depositExceptionpublishedGoldOA


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© The Author(s) 2018.
Open Access.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's licence is described as © The Author(s) 2018. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.