The effect of uncertainty in whole building simulation models for purposes of generating control strategies

Seeam, Amar, Laurenson, David and Usmani, Asif (2021) The effect of uncertainty in whole building simulation models for purposes of generating control strategies. Bashir, Engie and Luštrek, Mitja, eds. Intelligent Environments 2021:Workshop Proceedings of the 17th International Conference on Intelligent Environments. In: 10th International Workshop on the Reliability of Intelligent Environments (WoRIE’21), 22 June 2021, Virtual Event. ISBN 9781643681863, e-ISBN 9781643681870. ISSN 1875-4163 [Conference or Workshop Item] (doi:10.3233/aise210078)

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Abstract

Buildings consume a significant amount of energy worldwide in maintaining comfort for occupants. Building energy management systems (BEMS) are employed to ensure that the energy consumed is used efficiently. However these systems often do not adequately perform in minimising energy use. This is due to a number of reasons, including poor configuration or a lack of information such as being able to anticipate changes in weather conditions. We are now at the stage that building behaviour can be simulated, whereby simulation tools can be used to predict building conditions, and therefore enable buildings to use energy more efficiently, when integrated with BEMS. What is required though, is an accurate model of the building which can effectively represent the building processes, for building simulation. Building information modelling (BIM) is a relatively new method of representing building models, however there still remains the issue of data translation between a BIM and simulation model, which requires calibration with a measured set of data. If there a lack of information or a poor translation, a level of uncertaintly is introduced which can affect the simulation’s ability to accurate predict control strategies for BEMS. This paper explores effects of uncertainty, by making assumptions on a building model due to a lack of information. It will be shown that building model calibration as a method of addressing uncertainty is no substitute for a well defined model.

Item Type: Conference or Workshop Item (Paper)
Additional Information: 10th International Workshop on the Reliability of Intelligent Environments (WoRIE 2021) held within the 17th International Conference on Intelligent Environments (IE 2021). The conference was due to take place in Dubai, UAE, but was held as a virtual event from 21 to 24 June 2021 due to the restrictions associated with the Covid-19 pandemic.
Research Areas: A. > School of Science and Technology
Item ID: 33451
Notes on copyright: © 2021 The authors and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
doi:10.3233/AISE210078
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Depositing User: Jisc Publications Router
Date Deposited: 25 Jun 2021 16:33
Last Modified: 25 Jun 2021 17:06
URI: https://eprints.mdx.ac.uk/id/eprint/33451

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