Predicting operational energy consumption profiles - findings from detailed surveys and modelling in a UK educational building compared to measured consumption

Knight, Ian Paul ORCID: https://orcid.org/0000-0002-4871-4016, Stravoravdis, Spyridon and Lasvaux, Sebastien 2008. Predicting operational energy consumption profiles - findings from detailed surveys and modelling in a UK educational building compared to measured consumption. International Journal of Ventilation 7 (1) , pp. 49-57. 10.5555/ijov.2008.7.1.49

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Abstract

This paper presents the preliminary findings from the first stage of a physical survey and modelling Case Study conducted to obtain Modelled and Actual Energy Consumption Profiles for a UK multi-storey mixed use educational building. The purpose of the study is to provide an insight into how accurately current models and software can predict the actual energy consumption in such a building, with a view to informing the development of Operational and Asset Ratings for Buildings in the EU as part of the EPBD Article 7 requirements. The study also briefly discusses the potential problems inherent in the use of modelling techniques for assessing the energy performance of buildings. The data obtained through this study enabled predicted energy consumption profiles for both heating/cooling and electrical energy use to be obtained, as well as a UK SBEM asset-type compliance rating. The predicted profiles and compliance rating were then compared to the monitored actual energy consumption profiles obtained over the same period. It was seen that the various modelling approaches gave a reasonable prediction of the gas consumption, and a reasonable estimate of the electrical consumption using the SBEM. However, overall it was felt that the models were still too inaccurate to be used with any confidence. The relative agreement between the SBEM results in this Case Study and the measured consumption supports the view that for prediction of electrical consumption then statistically derived numbers, such as benchmarks, are likely to enable reasonably confident predictions of energy use by generic activity type.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Architecture
Subjects:	N Fine Arts > NA Architecture T Technology > TD Environmental technology. Sanitary engineering
Uncontrolled Keywords:	ECOTECT, iSBEM, energy, compliance, modelling
Publisher:	VEETECH Ltd
ISSN:	1473-3315
Last Modified:	18 Oct 2022 13:16
URI:	https://orca.cardiff.ac.uk/id/eprint/13298

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