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https://doi.org/10.1145/3563357.3564077
Title: | From Model-Centric to Data-Centric: A Practical MPC Implementation Framework for Buildings | Authors: | Zhan, S Quintana, M Miller, C Chong, A |
Issue Date: | 9-Nov-2022 | Publisher: | ACM | Citation: | Zhan, S, Quintana, M, Miller, C, Chong, A (2022-11-09). From Model-Centric to Data-Centric: A Practical MPC Implementation Framework for Buildings. BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation : 270-273. ScholarBank@NUS Repository. https://doi.org/10.1145/3563357.3564077 | Abstract: | The potential of using Model Predictive Control (MPC) to improve building operation has been shown in many studies. Unfortunately, real-world applications are still restricted by the high implementation cost and the unguaranteed profitability. In the traditional paradigm of "model-centric"MPC, most effort is devoted to constructing the control-oriented model given specific building properties and data availability. Due to the significant heterogeneity among buildings, the results are hardly reproducible, and a high level of customization is required for each new building. To address this issue, we propose a new "data-centric"approach for MPC, which starts with control-oriented data curation that acquires the necessary and cost-effective data concerning the intended control purpose and the building characteristics. The foundation of data-centric MPC is a standardized framework to quantify the data requirements and the established relationships between data usage and control performance. Such an end-to-end framework promotes actual MPC applications with controllable costs and reliable outcomes. We use tropical office buildings as an example to consolidate the data-centric MPC framework. Two use cases are provided to demonstrate its benefits. Over 10% of energy saving was achieved without excessive occupant-related data, and occupant-centric control significantly improved the thermal comfort only with proper data acquisition. | Source Title: | BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation | URI: | https://scholarbank.nus.edu.sg/handle/10635/236542 | ISBN: | 9781450398909 | DOI: | 10.1145/3563357.3564077 |
Appears in Collections: | Staff Publications Elements |
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buildsys2022-final250.pdf | Accepted version | 3.53 MB | Adobe PDF | OPEN | Pre-print | View/Download |
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