An open-source simulation platform to support the formulation of housing stock decarbonisation strategies
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1331688
- Type
- D - Journal article
- DOI
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10.1016/j.enbuild.2018.05.015
- Title of journal
- Energy and Buildings
- Article number
- -
- First page
- 459
- Volume
- 172
- Issue
- -
- ISSN
- 0378-7788
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
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E - Buildings, Energy & Environment
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents the development process of a high-accuracy, fast, and dynamic energy simulation model, which is generated based on a novel method with combination of statistical sampling and energy modelling. This paper provides fundamental knowledge as well as a practical tool, for governmental and industrial stakeholders to apply into the existing Energy Housing Surveys dataset of UK for policy making purposes.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
