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Proactive building demand response has been proved to be a cost-effective approach for power system ancillary services. Air-conditioning systems are one of the significant and preferable demand response resources in large commercial buildings. Demand limiting control by shutting down part of operating chillers is fast enough to achieve load curtailment for providing valuable spinning reserve. However, it runs with the sacrifices of indoor thermal comfort due to the insufficient cooling supply during the demand limiting period. In this situation, the proper management of the limited cooling supply remains to be a challenge considering the trade-off between indoor air temperature and relative humidity affecting the indoor thermal comfort. Conventional building automation system fails to achieve rational use of determined power supply considering this trade-off when performing fast demand response after shutting down operating chillers. This paper therefore develops a model-based control optimization of supply air flow rates in the air-conditioning system to address this problem. A multi-objective problem is formulated to quantify this problem. Incremental building thermal balance models are employed to predict the indoor environment responses for optimization. Test results reveal that the proposed control strategy can determine the rational delivery of the cooling supply to the zones considering appropriate importance of objective for indoor air temperature and relative humidity.
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Details
- Original title: Model-based control optimization of air-conditioning for proactive building demand response.
- Record ID : 30032962
- Languages: English
- Source: 2024 Purdue Conferences. 8th International High Performance Buildings Conference at Purdue.
- Publication date: 2024/07/15
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Indexing
- Themes: Comfort air conditioning
- Keywords: Building; Air conditioning; Thermal comfort; Optimization; Control (generic); Modelling
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- Date : 2016/07/11
- Languages : English
- Source: 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
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- Author(s) : KIM D., BRAUN J. E.
- Date : 2012/07/16
- Languages : English
- Source: 2012 Purdue Conferences. 2nd International High Performance Buildings Conference at Purdue.
- Formats : PDF
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- Author(s) : MOON J. W.
- Date : 2015/03
- Languages : English
- Source: Applied Thermal Engineering - vol. 78
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- Date : 2013/10
- Languages : English
- Source: Applied Thermal Engineering - vol. 60 - n. 1-2
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Model predictive control for a tropical island ...
- Author(s) : LARA B. G. V., PADRÓN O. B., CIGLER J., et al.
- Date : 2013/06/16
- Languages : English
- Source: Clima 2013. 11th REHVA World Congress and 8th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings.
- Formats : PDF
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