Assessing the operational energy profiles of UK educational buildings : findings from detailed surveys and modelling compared to measured consumption

Knight, Ian (Welsh Scool of Architecture, Cardiff University, Cardiff, UK) ; Stravoravdis, Spyridon (Welsh Scool of Architecture, Cardiff University, Cardiff, UK) ; Lasvaux, Sébastien (INSA de Toulouse, Toulouse, France)

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 allowed predicted energy usage profiles to be compiled from the level of individual items of equipment through to the whole building. These data were subsequently analysed using standard spreadsheet and building energy simulation software. The results of the analysis enabled predicted energy consumption profiles for both heating/cooling and electrical energy use to be obtained, as well as a UK iSBEM 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. The main conclusions were that, despite the time needed to undertake the physical survey, the level of detail of this study and survey were insufficient to predict the energy consumptions of the building with confidence. It was seen that the various approaches gave a reasonable estimate of the gas consumption using ECOTECT, and a reasonable estimate of the electrical consumption using iSBEM. However, overall it was felt that the models were too inaccurate to be used with any confidence. This results of this Case Study also support the view that for prediction of electrical consumption then statistical measures, such as benchmarks, are likely to enable more confident predictions of energy use by generic activity type.

Conference Type:
published full paper
Ingénierie et Architecture
IGT - Institut de Génie Thermique
Crete, Greece, 27-29 September 2007
Crete, Greece
27-29 September 2007
pp. 531-536
Published in:
Proceedings of 2nd PALENC Conference and 28th AIVC Conference on Building Low Energy Cooling and Advanced Ventilation Technologies in the 21st Century, 27-29 September 2007, Crete, Greece
External resources:
Appears in Collection:

 Record created 2021-03-12, last modified 2021-03-19

Download fulltext

Rate this document:

Rate this document:
(Not yet reviewed)