An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings
Model 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)...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Online Access: | https://hdl.handle.net/10356/161496 |
| _version_ | 1824455035419885568 |
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| author | Yang, Shiyu Chen, Wanyu Wan, Man Pun |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Yang, Shiyu Chen, Wanyu Wan, Man Pun |
| author_sort | Yang, Shiyu |
| collection | NTU |
| description | Model 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. |
| first_indexed | 2025-02-19T03:31:48Z |
| format | Journal Article |
| id | ntu-10356/161496 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:31:48Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1614962022-09-10T23:31:15Z An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings Yang, Shiyu Chen, Wanyu Wan, Man Pun School of Mechanical and Aerospace Engineering Energy Research Institute @ NTU (ERI@N) Engineering::Mechanical engineering Model Predictive Control Event Triggered Mechanism Model 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. National Research Foundation (NRF) Published version This research is supported JTC Corporation (contract nos. N190107T00 and 2019-0607) and Smart Nation & Digital Government Office of Singapore (Grant no. NRF2016IDM-TRANS001-031). 2022-09-06T02:51:12Z 2022-09-06T02:51:12Z 2021 Journal Article Yang, 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/10.1088/1742-6596/2069/1/012173 1742-6588 https://hdl.handle.net/10356/161496 10.1088/1742-6596/2069/1/012173 2-s2.0-85121422959 1 2069 012173 en N190107T00 2019-0607 NRF2016IDM-TRANS001-031 Journal of Physics: Conference Series © 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. application/pdf |
| spellingShingle | Engineering::Mechanical engineering Model Predictive Control Event Triggered Mechanism Yang, Shiyu Chen, Wanyu Wan, Man Pun An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings |
| title | An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings |
| title_full | An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings |
| title_fullStr | An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings |
| title_full_unstemmed | An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings |
| title_short | An event-triggered model predictive control for energy efficiency and thermal comfort optimization in buildings |
| title_sort | event triggered model predictive control for energy efficiency and thermal comfort optimization in buildings |
| topic | Engineering::Mechanical engineering Model Predictive Control Event Triggered Mechanism |
| url | https://hdl.handle.net/10356/161496 |
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