Prof Richard Fitton R.Fitton@salford.ac.uk
Professor of Building Performance
This paper aims to introduce and give an understanding of the process of determining a building’s energy performance using smart meters and ‘on-board’ equipment such as sensors found in smart thermostats or even low-cost sensing equipment. The rationale for this type of examination of a dwelling is given, alongside figures around accuracy, cost and timescale. These are compared with the current and more complex methods of measuring this type of performance indicator.
Fitton, R. (2020). Energy pathology : measuring a dwellings energy performance using smart meter and IoT data. Journal of Building Survey, Appraisal and Valuation, 9(2), 181-190
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 18, 2020 |
Online Publication Date | Oct 3, 2020 |
Publication Date | Sep 23, 2020 |
Deposit Date | Nov 4, 2020 |
Publicly Available Date | Jan 3, 2021 |
Journal | Journal of Building Survey, Appraisal & Valuation |
Print ISSN | 2046-9594 |
Electronic ISSN | 2046-9608 |
Publisher | Henry Stewart Publications |
Volume | 9 |
Issue | 2 |
Pages | 181-190 |
Publisher URL | https://www.ingentaconnect.com/content/hsp/jbsav/2020/00000009/00000002/art00010 |
Related Public URLs | https://www.henrystewartpublications.com/jbsav |
JBSAV Smart Energy Pathology FINAL SUBMITTED .pdf
(765 Kb)
PDF
Retrofit assessment: Getting it right from the start
(2024)
Journal Article
A Practitioner Study into the Variability of Domestic Energy Assessments
(2023)
Journal Article
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search