Prioritised objectives for model predictive control of building heating systems
dc.contributor.author | O'Dwyer, Edward | |
dc.contributor.author | De Tommasi, Luciano | |
dc.contributor.author | Kouramas, Konstantinos | |
dc.contributor.author | Cychowski, Marcin | |
dc.contributor.author | Lightbody, Gordon | |
dc.contributor.funder | Irish Research Council | en |
dc.contributor.funder | United Technologies Research Center Ireland | |
dc.date.accessioned | 2018-01-17T11:53:47Z | |
dc.date.available | 2018-01-17T11:53:47Z | |
dc.date.issued | 2017-04-13 | |
dc.date.updated | 2018-01-17T11:38:07Z | |
dc.description.abstract | Advantages of Model Predictive Control (MPC) strategies for control of building energy systems have been widely reported. A key requirement for successful realisation of such approaches is that strategies are formulated in such a way as to be easily adapted to fit a wide range of buildings with little commissioning effort. This paper introduces an MPC-based building heating strategy, whereby the (typically competing) objectives of energy and thermal comfort are optimised in a prioritised manner. The need for balancing weights in an objective function is eliminated, simplifying the design of the strategy. The problem is further divided into supply and demand problems, separating a high order linear optimisation from a low order nonlinear optimisation. The performance of the formulation is demonstrated in a simulation platform, which is trained to replicate the thermal dynamics of a real building using data taken from the building. | en |
dc.description.sponsorship | Irish Research Council and United Technologies Research Center Ireland (Enterprise Partnership Scheme) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | O'Dwyer, E., De Tommasi, L., Kouramas, K., Cychowski, M. and Lightbody, G. (2017) 'Prioritised objectives for model predictive control of building heating systems', Control Engineering Practice, 63, pp. 57-68. doi:10.1016/j.conengprac.2017.03.018 | en |
dc.identifier.doi | 10.1016/j.conengprac.2017.03.018 | |
dc.identifier.endpage | 68 | en |
dc.identifier.issn | 0967-0661 | |
dc.identifier.journaltitle | Control Engineering Practice | en |
dc.identifier.startpage | 57 | en |
dc.identifier.uri | https://hdl.handle.net/10468/5287 | |
dc.identifier.volume | 63 | en |
dc.language.iso | en | en |
dc.publisher | Elsevier B.V. | en |
dc.rights | © 2017, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.subject | Lexicographic MPC | en |
dc.subject | Prioritised objectives | en |
dc.subject | Building energy | en |
dc.subject | Fault tolerance | en |
dc.subject | System identification | en |
dc.title | Prioritised objectives for model predictive control of building heating systems | en |
dc.type | Article (peer-reviewed) | en |
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