An Expert View on Data and Modelling for Planning Domestic Retrofit

The transition to Net Zero rests partly on the widespread adoption of energy-efficient retrofit measures for domestic dwellings. The scale of retrofit efforts is extensive, as up to 80% of the UK’s domestic housing stock for 2050 has already been built. To address the scope, data and models will pla...

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Bibliographic Details
Published inBuildings (Basel) Vol. 14; no. 4; p. 887
Main Authors Coulentianos, Marianna J., Abbey, Danielle, So, Christy Tsz, Ward, Wil O. C.
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2024
Subjects
Adaptability
Bibliometrics
Built environment
Carbon
Compliance
data
Data collection
Data entry
Decision making
Design
Design optimization
domestic retrofit
Energy consumption
Energy efficiency
interviews
Modelling
Planning
Project management
Qualitative research
Retrofitting
Trends
United Kingdom
United Kingdom > UK
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Summary:The transition to Net Zero rests partly on the widespread adoption of energy-efficient retrofit measures for domestic dwellings. The scale of retrofit efforts is extensive, as up to 80% of the UK’s domestic housing stock for 2050 has already been built. To address the scope, data and models will play a crucial role in informing design decisions and optimising retrofit strategies. While new methods and tools for data and modelling in retrofit continue to be developed, the perspectives of professionals using these tools on their quality remain mainly absent from discussion across academia and practice. This study investigated the experiences and perceptions of data and modelling from professionals working in the planning stages of domestic retrofit, serving as a needs-finding exercise driving retrofit planning. Through semi-structured interviews and qualitative coding, the results highlight a critical trade-off between precision, confidence, and the burden of data collection. These findings underscore the need to balance precision, ease of use, and adaptability in data and modelling retrofit tools. Issues around data availability and wider access to data and modelling results across stakeholders emerged as a missed opportunity.
ISSN:2075-5309
2075-5309
DOI:10.3390/buildings14040887