Assessing Building Performance in Residential Buildings using BIM and Sensor Data
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25207119
- Type
- D - Journal article
- DOI
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10.1108/IJBPA-01-2019-0012
- Title of journal
- International Journal of Building Pathology and Adaptation
- Article number
- -
- First page
- 176
- Volume
- 38
- Issue
- 1
- ISSN
- 2398-4708
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2019
- 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
- No
- Number of additional authors
-
4
- Research group(s)
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B - Northumbria Social Computing (NorSC)
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was invited for submission as a result of a previous paper winning the Technology Innovation Award (4th Annual Sustainable Ecological Engineering Design for Society Conference, 2018). The success of this research demonstrating insight data can bring to understanding building performance through linking sensor data to other building data. This work was instrumental in securing subsequent awards from Innovate UK (£58k and £693k) to support a proof of concept and follow on collaborative project with HS2, BIM Academy Enterprises, Costain and Buildstream for automating predictions to improve equipment use onsite to reduce construction costs through IoT and programme data.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -