A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 2 Issue 2
Apr.  2015

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Xiaohua Xia and Jiangfeng Zhang, "Operation Efficiency Optimisation Modelling and Application of Model Predictive Control," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 2, pp. 166-172, 2015.
Citation: Xiaohua Xia and Jiangfeng Zhang, "Operation Efficiency Optimisation Modelling and Application of Model Predictive Control," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 2, pp. 166-172, 2015.

Operation Efficiency Optimisation Modelling and Application of Model Predictive Control

Funds:

This work was supported by National Research Foundation of South Africa (UID85783), the National Hub for Energy Efficiency and Demand Side Management and Exxaro.

  • The efficiency of any energy system can be charaterised by the relevant efficiency components in terms of performance, operation, equipment and technology (POET). The overall energy efficiency of the system can be optimised by studying the POET energy efficiency components. For an existing energy system, the improvement of operation efficiency will usually be a quick win for energy efficiency. Therefore, operation efficiency improvement will be the main purpose of this paper. General procedures to establish operation efficiency optimisation models are presented. Model predictive control, a popular technique in modern control theory, is applied to solve the obtained energy models. From the case studies in water pumping systems, model predictive control will have a prosperous application in more energy efficiency problems.

     

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