Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161496
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dc.contributor.authorYang, Shiyuen_US
dc.contributor.authorChen, Wanyuen_US
dc.contributor.authorWan, Man Punen_US
dc.date.accessioned2022-09-06T02:51:12Z-
dc.date.available2022-09-06T02:51:12Z-
dc.date.issued2021-
dc.identifier.citationYang, S., Chen, W. & Wan, M. P. (2021). An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings. Journal of Physics: Conference Series, 2069(1), 012173-. https://dx.doi.org/10.1088/1742-6596/2069/1/012173en_US
dc.identifier.issn1742-6588en_US
dc.identifier.urihttps://hdl.handle.net/10356/161496-
dc.description.abstractModel predictive control (MPC) is a promising optimal control technique for building automation. However, the high computation load to solve the optimization problem of MPC is challenging its implementation for real-time building control. Typical MPC systems employ the time-triggered mechanism (TTM), which conducts the optimization periodically at each control interval regardless of the necessity. This study proposes an event-triggered mechanism (ETM) for MPC, which conducts the optimization only when there is a triggering event that necessitates it. Contrasting to the conventional ETM that bases only on the current information, the proposed ETM bases on the cost function considering the past, current and future information. An event-triggered model predictive control (ETMPC) system is developed using the proposed ETM. In a simulation environment, the ETMPC system is implemented to control an air-conditioning system. The ETMPC is compared to a MPC employing TTM and a conventional thermostat. The ETMPC improved the computation efficiency by 77.6% - 88.2% as compared to the MPC while achieving similar energy performance as the MPC does (both achieved more than 9% energy savings over the thermostat). The ETMPC only degraded the thermal comfort performance slightly as compared to the MPC but is still much better than the thermostat.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relationN190107T00en_US
dc.relation2019-0607en_US
dc.relationNRF2016IDM-TRANS001-031en_US
dc.relation.ispartofJournal of Physics: Conference Seriesen_US
dc.rights© 2021 The Authors. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleAn event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildingsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.researchEnergy Research Institute @ NTU (ERI@N)en_US
dc.identifier.doi10.1088/1742-6596/2069/1/012173-
dc.description.versionPublished versionen_US
dc.identifier.scopus2-s2.0-85121422959-
dc.identifier.issue1en_US
dc.identifier.volume2069en_US
dc.identifier.spage012173en_US
dc.subject.keywordsModel Predictive Controlen_US
dc.subject.keywordsEvent Triggered Mechanismen_US
dc.description.acknowledgementThis research is supported JTC Corporation (contract nos. N190107T00 and 2019-0607) and Smart Nation & Digital Government Office of Singapore (Grant no. NRF2016IDM-TRANS001-031).en_US
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