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Industrial energy systems in view of energy efficiency and operation control

机译:鉴于能源效率和运行控制的工业能源系统

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Energy efficiency improvement of industrial systems through the application of demand side management (DSM) techniques is discussed. In particular, a unified classification of efficiency of energy systems, namely performance efficiency, operation efficiency, equipment efficiency and technology efficiency (POET), is reviewed and further discussed to facilitate effective use of DSM methods in a selection of energy-intensive industrial processes. The operational level efficiency improvement is then focused on and the corresponding modelling and control by model predictive control (MPC) approach are presented. The modelling process is generalised to cater for a number of industrial processes. Robustness and convergence of MPC method when applied to periodic industrial processes are elaborated. The relationship between control and the POET is outlined thereafter to link the two such that one can make use of the POET concept to guide the controller design. Finally, case studies are provided to demonstrate the effectiveness of the approaches presented. (C) 2016 International Federation of Automatic Control. Published by Elsevier Ltd. All rights reserved.
机译:讨论了通过应用需求侧管理(DSM)技术提高工业系统的能效。特别是,对能源系统效率的统一分类,即性能效率,运行效率,设备效率和技术效率(POET)进行了审查,并进行了进一步讨论,以促进在选择能源密集型工业过程中有效使用DSM方法。然后着重于提高操作水平的效率,并提出了通过模型预测控制(MPC)方法进行相应的建模和控制。建模过程一般化以适应许多工业过程。阐述了MPC方法应用于周期性工业过程的鲁棒性和收敛性。此后概述了控制和POET之间的关系,以将两者联系起来,以便人们可以利用POET概念来指导控制器设计。最后,提供案例研究以证明所提出方法的有效性。 (C)2016国际自动控制联合会。由Elsevier Ltd.出版。保留所有权利。

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