Yang, X;
Hu, M;
Zhang, C;
Steubing, B;
(2022)
Key strategies for decarbonizing the residential building stock: Results from a spatiotemporal model for Leiden, the Netherlands.
Resources, Conservation and Recycling
, 184
, Article 106388. 10.1016/j.resconrec.2022.106388.
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Abstract
Decarbonizing the building stock plays an important role in realizing climate change mitigation targets. To compare the decarbonization potential of different strategies, this study presents a spatiotemporal bottom-up dynamic building stock model that integrates material flow analysis, building energy modeling, and life cycle assessment. It can simulate future building stock evolution at the component level and track the associated material flows, energy demand and generation, and GHG emissions with the consideration of both endogenous factors (e.g. building energy efficiency upgrade) and exogenous factors (e.g. policies, occupant behavior, and climate scenarios). The model is applied in the residential building stock of Leiden, a municipality in the Netherlands. Results show that annual GHG emissions are reduced by about 40% under the reference scenario while annual GHG emissions can be reduced by about 90% under the ambitious scenario where all the decarbonization strategies are simultaneously implemented. Natural-gas-free heat transition and renewable electricity supply are the most effective strategies, respectively reducing the annual GHG emissions in 2050 by an additional 21% and 19% more than the reference scenario. Rooftop PV, green lifestyle, and wood construction have similar decarbonization potential (about 10%). Surplus electricity can be generated if rooftop PV systems are installed as much as possible. The decarbonization potential of demolition waste recycling is much smaller than other strategies. The model can support policymakers in assessing the decarbonization potential of different policy scenarios and prioritizing decarbonization strategies in advance.
| Type: | Article |
|---|---|
| Title: | Key strategies for decarbonizing the residential building stock: Results from a spatiotemporal model for Leiden, the Netherlands |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.resconrec.2022.106388 |
| Publisher version: | https://doi.org/10.1016/j.resconrec.2022.106388 |
| Language: | English |
| Additional information: | © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Climate change, Energy transition, Circular economy, Building stock model, Material flow analysis, Life cycle assessment |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10163558 |
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