Research Article
Model Predictive Control of Precision Air Conditioning System with Secondary Condenser
@INPROCEEDINGS{10.4108/eai.22-10-2019.2291465, author={Iput Kasiyanto and Aries Subiantoro}, title={Model Predictive Control of Precision Air Conditioning System with Secondary Condenser}, proceedings={Proceedings of the 1st International Conference on Environmental Science and Sustainable Development, ICESSD 2019, 22-23 October 2019, Jakarta, Indonesia}, publisher={EAI}, proceedings_a={ICESSD}, year={2020}, month={3}, keywords={energy efficiency model predictive control precision air conditioning}, doi={10.4108/eai.22-10-2019.2291465} }- Iput Kasiyanto
Aries Subiantoro
Year: 2020
Model Predictive Control of Precision Air Conditioning System with Secondary Condenser
ICESSD
EAI
DOI: 10.4108/eai.22-10-2019.2291465
Abstract
Due to high specification of ASHRAE requirements, a data center (DC) must have sophisticated cooling system to maintain its environment conditions. Its high dimen-sional coupling system dynamics makes controller design very challenging and compli-cated. A non-linear system model of a precision air conditioning (PAC) system with secon-dary condenser has been previously developed and then linearized at steady state operating point. Based on the model, a model predictive control (MPC) based controller is designed to deal with coupling state variables(i.e: temperature and relative humidity). The controller also has ability to improve energy efficiency of the PAC system. The performance of the proposed controller is validated through simulation. The results showed the effectiveness of MPC based controller against the defined constraints.
