Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/105751
Title: | A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings | Authors: | Yang, Shiyu Wan, Man Pun Ng, Bing Feng Zhang, Tian Babu, Sushanth Zhang, Zhe Chen, Wanyu Dubey, Swapnil |
Keywords: | Model Predictive Control State-space Model DRNTU::Engineering::Mechanical engineering |
Issue Date: | 2018 | Source: | Yang, S., Wan, M. P., Ng, B. F., Zhang, T., Babu, S., Zhang, Z., . . . Dubey, S. (2018). A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings. Energy and Buildings, 170, 25-39. doi:10.1016/j.enbuild.2018.03.082 | Series/Report no.: | Energy and Buildings | Abstract: | A major challenge in applying Model Predictive Control (MPC) to building automation and control (BAC) is the development of a simplified mathematical model of the building for real-time control with fast response times. However, building models are highly complex due to nonlinearities in heat and mass transfer processes of the building itself and the accompanying air-conditioning and mechanical ventilation systems. This paper proposes a method to develop an integrated state-space model (SSM) for indoor air temperature, radiant temperature, humidity and Predicted Mean Vote (PMV) index suitable for fast real-time multiple objectives optimization. Using the model, a multi-objective MPC controller is developed and its performance is evaluated through a case study on the BCA SkyLab test bed facility in Singapore. The runtime of the MPC controller is less than 0.1 s per optimization, which is suitable for real-time BAC applications. Compared to the conventional ON/OFF control, the MPC controller can achieve up to 19.4% energy savings while keeping the PMV index within the acceptable comfort range. When the MPC controller is adjusted to be thermal-comfort-dominant that achieves a neutral PMV index at most office hours, the system can still bring about 6% in energy savings as compared to the conventional ON/OFF control. | URI: | https://hdl.handle.net/10356/105751 http://hdl.handle.net/10220/48732 |
ISSN: | 0378-7788 | DOI: | 10.1016/j.enbuild.2018.03.082 | Rights: | © 2018 Elsevier B.V. All rights reserved. This paper was published in Energy and Buildings and is made available with permission of Elsevier B.V. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | ERI@N Journal Articles MAE Journal Articles |
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A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings.pdf | 2.15 MB | Adobe PDF | ![]() View/Open |
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