Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Daily energy consumption signatures and control charts for air-conditioned buildings

Hitchin, Roger and Knight, Ian ORCID: https://orcid.org/0000-0002-4871-4016 2016. Daily energy consumption signatures and control charts for air-conditioned buildings. Energy and Buildings 112 , pp. 101-109. 10.1016/j.enbuild.2015.11.059

[thumbnail of hitchin & knight 2016.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (674kB) | Preview

Abstract

Energy signatures for air conditioning systems can have characteristics which are not seen with heating systems. This paper explains and illustrates some of the characteristics that are specific to air conditioning systems and describes how energy signatures that take account of them can be applied to produce benchmarks, control charts and diagnostic information. It focusses on the use of energy signatures derived from measured daily system energy consumption. Daily energy signatures can generate more robust energy consumption benchmarks and provide additional insight into unusual energy demand patterns compared to monthly or weekly signatures, albeit requiring slightly more data. In particular, they distinguish between weekday and weekend consumptions. They can be used to generate benchmarks based on standardised annual consumption or standardised annual load factor. In addition they can be used to generate control charts to identify days of unusual consumption for individual systems. More sets of daily energy consumption data are needed to evaluate their diagnostic power.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Architecture
Additional Information: Available online 8 December 2015 This paper is published under the terms of the CC-BY licence
Publisher: Elsevier
ISSN: 0378-7788
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 24 November 2015
Last Modified: 02 May 2023 16:16
URI: https://orca.cardiff.ac.uk/id/eprint/85831

Citation Data

Cited 30 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics