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首页> 外文期刊>Energy and Buildings >Model predictive control of a thermally activated building system to improve energy management of an experimental building: Part Ⅱ - Potential of predictive strategy
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Model predictive control of a thermally activated building system to improve energy management of an experimental building: Part Ⅱ - Potential of predictive strategy

机译：热活化建筑系统的模型预测控制，以改善实验建筑的能源管理：第二部分-预测策略的潜力

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摘要

Thermally Activated Building Systems (TABS) are difficult to control due to the time lag between the control sending and the response of the indoor temperature. Energy management of systems having such a high inertia can be improved by optimizing the restart time thanks to both occupancy and weather anticipation. Predictive control is suitable for systems with numerous constrained inputs and outputs whose objective function varies over time such as buildings with intermittent occupancy. This work proposes to use a Model Predictive Control (MPC) for one TABS in particular: a floor heating system (FHS) of an experimental building. Conventional control techniques and a state of the art on the predictive control of FHS are presented. A complete control loop (sensor, actuator, controller) was implemented on an experimental room. The predictive controller that integrate the model selected in Part I is compared with two conventional control strategies. The energy saving potential of the predictive controller is confirmed by both local experimentation and simulation on three climates. The energy saving is close to 40% over the whole heating season with an improved or equivalent comfort situation compared to the other two reference strategies. The absolute gain is constant over the heating period but the most significant relative gains are obtained in the mid-season. (C) 2018 Elsevier B.V. All rights reserved.
机译：由于控制发送和室内温度响应之​​间存在时间差，因此很难控制热激活建筑系统（TABS）。由于占用率和天气因素，可以通过优化重启时间来改善具有如此高惯性的系统的能源管理。预测控制适用于目标功能随时间变化的具有众多受约束的输入和输出的系统，例如建筑物的间歇性使用。这项工作建议特别针对一个TABS使用模型预测控制（MPC）：实验建筑物的地板供暖系统（FHS）。介绍了常规控制技术和FHS预测控制的最新技术。在实验室上实现了完整的控制回路（传感器，执行器，控制器）。集成了第一部分中所选模型的预测控制器与两种常规控制策略进行了比较。预测控制器的节能潜力已通过在三种气候下的本地实验和模拟得到了证实。与其他两种参考策略相比，在整个供暖季节，节能效果接近40％，舒适度得到改善或相当。在加热期间，绝对增益是恒定的，但在季节中期可获得最大的相对增益。 （C）2018 Elsevier B.V.保留所有权利。

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  • 来源
    《Energy and Buildings》 |2018年第8期|385-396|共12页
  • 作者

    Viot H.; Sempey A.; Mora L.; Batsale J. C.; Malvestio J.;

  • 作者单位

    Univ Bordeaux, CNRS, Arts & Metiers ParisTech, I2M,UMR 5295,Esplanade Arts & Metiers, F-33400 Talence, France;

    Univ Bordeaux, CNRS, Arts & Metiers ParisTech, I2M,UMR 5295,Esplanade Arts & Metiers, F-33400 Talence, France;

    Univ Bordeaux, CNRS, Arts & Metiers ParisTech, I2M,UMR 5295,Esplanade Arts & Metiers, F-33400 Talence, France;

    Univ Bordeaux, CNRS, Arts & Metiers ParisTech, I2M,UMR 5295,Esplanade Arts & Metiers, F-33400 Talence, France;

    Univ Bordeaux, CNRS, Arts & Metiers ParisTech, I2M,UMR 5295,Esplanade Arts & Metiers, F-33400 Talence, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Model predictive control; TABS; Floor heating system; Energy management; Optimal control;

    机译：模型预测控制;TABS;地板采暖系统;能源管理;最优控制;

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