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Offset-free model predictive control for an energy efficient tropical island hotel

机译:节能热带岛屿酒店的无偏移模型预测控制

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摘要

This paper presents the application of an offset-free model predictive controller (OF-MPC) for an energy efficient operation of the central chiller plant in a case study hotel on a tropical island. The OF-MPC performance is simulated under the mismatch between the real system's dynamics and the controller's internal model, the incidence of stochastic unmeasured disturbances, and different weather conditions and building occupancies over weekly periods throughout seven months. This controller is compared with two frequently used open-loop control methods (i.e., Baseline and Conventional). The simulations suggested that the proposed OF-MPC is able to track the set-point temperature of the worst-case reference room with lower thermal comfort violations than the Conventional. Furthermore, there is a significant energy savings potential for the OF-MPC compared to both strategies, which is deteriorated under extreme weather conditions. The promising OF-MPC ensures that the cooling capacity delivered by the central chiller plant can match the actual building cooling load, making the chilling system operate energy efficiently. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文介绍了一种无偏移模型预测控制器(OF-MPC)在一个热带岛屿上的案例研究酒店中的中央冷却器工厂的节能运行中的应用。 OF-MPC性能是在真实系统动力学与控制器内部模型不匹配,随机不可测干扰的发生以及整个七个月的每周时间内不同的天气条件和建筑占用率之间进行模拟的。将此控制器与两种常用的开环控制方法(即基准和常规)进行比较。仿真结果表明,所提出的OF-MPC能够以比传统方式更低的热舒适度跟踪最坏情况下参考房间的设定点温度。此外,与这两种策略相比,OF-MPC都有显着的节能潜力,在极端天气条件下这种节能效果会下降。有前途的OF-MPC确保中央冷水机组提供的制冷量可以匹配建筑物的实际制冷负荷,从而使制冷系统高效地运行。 (C)2016 Elsevier B.V.保留所有权利。

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