<div class="csl-bib-body">
<div class="csl-entry">Akhatova, A., & Kranzl, L. (2023, July 26). <i>Agent-based simulation of pathways towards neighbourhood-level building retrofits</i> [Conference Presentation]. 18 th IAEE European Conference, Milano, Italy.</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/189884
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dc.description.abstract
Energy-efficient retrofitting of existing buildings and neighborhoods, including measures such as thermal insulation of a building envelope (i.e., walls, roof, floor) and installation of energy-efficient windows, is essential for space heat demand reduction and subsequent carbon emissions cut. However, buildings are not being retrofitted at a sufficient speed and depth, as only 1% of the total building stock in Europe gets renovated annually [1]. Especially in the residential sector, it is challenging to design policies that encourage owners’ decisions to renovate. The state-of-the-art literature and empirical studies show that both monetary and non-monetary barriers exist towards greater uptake of energy efficiency measures among owner-occupiers. While lack of capital and aversion to delayed gains have been known to be important barriers [2], recent studies emphasize high non-monetary transaction costs (e.g. cost of information search, contract negotiations, etc.) as strong barriers to retrofit uptake [3–5]. This study presents an explorative simulation of neighbourhood retrofit (i.e., insulation) adoption that accounts for these economic and non-economic barriers as well as other important determinants of insulation (e.g., building age or availability of subsidy). The neighborhood level is chosen as it is an appropriate level for energy concept planning and policy interventions [6,7]. The effects of possible policy strategies and social influence on the uptake levels will be simulated and discussed. The unique contribution of this work is in bringing together the findings from social scientific studies into a quantitative model as a first step in developing a multi-disciplinary policy support tool.
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dc.description.sponsorship
European Commission
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dc.language.iso
en
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dc.subject
Agent-Based Modelling
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dc.subject
energy-efficient building retrofit
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dc.subject
neighborhoods
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dc.subject
renovation investment decisions
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dc.title
Agent-based simulation of pathways towards neighbourhood-level building retrofits
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.relation.grantno
812730
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dc.type.category
Conference Presentation
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tuw.project.title
Human-Centric Energy Districts: Intelligente Wertschöpfung durch Gebäudeeffizienz und Energiegerechtigkeit für nachhaltiges Wohnen
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tuw.researchTopic.id
C6
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E370 - Institut für Energiesysteme und Elektrische Antriebe
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tuw.author.orcid
0000-0001-6803-5777
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tuw.author.orcid
0000-0003-3350-7134
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tuw.event.name
18 th IAEE European Conference
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tuw.event.startdate
24-07-2023
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tuw.event.enddate
27-07-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Milano
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tuw.event.country
IT
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tuw.event.presenter
Akhatova, Ardak
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wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
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wb.sciencebranch.oefos
2020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.openairetype
conference paper not in proceedings
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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crisitem.author.dept
E370-03 - Forschungsbereich Energiewirtschaft und Energieeffizienz
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crisitem.author.dept
E370-03 - Forschungsbereich Energiewirtschaft und Energieeffizienz
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crisitem.author.orcid
0000-0001-6803-5777
-
crisitem.author.orcid
0000-0003-3350-7134
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
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crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
