Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/93470
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Conference paper |
Title: | A hybrid model predictive control scheme for energy and cost savings in commercial buildings: simulation and experiment |
Author: | Huang, H. Chen, L. Hu, E. |
Citation: | Proceedings of the ... American Control Conference. American Control Conference, 2015, vol.2015-July, pp.256-261 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Issue Date: | 2015 |
Series/Report no.: | Proceedings of the American Control Conference |
ISBN: | 9781479986859 |
ISSN: | 0743-1619 2378-5861 |
Conference Name: | 2015 American Control Conference (ACC) (1 Jul 2015 - 3 Jul 2015 : Chicago, USA) |
Statement of Responsibility: | Hao Huang, Lei Chen, and Eric Hu |
Abstract: | This paper presents a hybrid model predictive control (MPC) scheme for energy-saving control in commercial buildings. The proposed method combines a linear MPC with a neural network feedback linearisation (NNFL) method. The control model for the linear MPC is developed using a simplified physical model, while nonlinearities associated with the building system are handled by an affine recurrent neural network (ARNN) model through system feedback. The proposed MPC integrates several advanced air-conditioning control strategies, such as an economizer control, an optimal start-stop control, and a pre-cooling control. The developed MPC has been tested in the check-in hall of T-1 building, Adelaide Airport, through both simulation and field experiment. The result shows that the proposed control scheme can achieve a considerable amount of savings without violating occupants’ thermal comfort. |
Rights: | © 2015 AACC |
DOI: | 10.1109/ACC.2015.7170745 |
Published version: | http://dx.doi.org/10.1109/acc.2015.7170745 |
Appears in Collections: | Aurora harvest 7 Mechanical Engineering conference papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl_93470.pdf | Accepted version | 472.31 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.