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    Incorporating a load change penalty in central plant optimization
    22.
    发明授权
    Incorporating a load change penalty in central plant optimization 有权

    公开(公告)号：US10101730B2

    公开(公告)日：2018-10-16

    申请号：US14634573

    申请日：2015-02-27

    Applicant: Johnson Controls Technology Company

    Inventor： Michael J. Wenzel ,  Robert D. Turney

    IPC: G06F19/00 ,  G05B19/418 ,  G05B13/02 ,  G05F1/66 ,  G05B13/04 ,  G05B15/02 ,  G06N99/00 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q50/06

    Abstract: An optimization system for a central plant includes a processing circuit configured to receive load prediction data indicating building energy loads and utility rate data indicating a price of one or more resources consumed by equipment of the central plant to serve the building energy loads. The optimization system includes a high level optimization module configured to generate an objective function that expresses a total monetary cost of operating the central plant over the optimization period as a function of the utility rate data and an amount of the one or more resources consumed by multiple groups of the central plant equipment. The optimization system includes a load change penalty module configured to modify the objective function to account for a load change penalty resulting from a change in an amount of the building energy loads assigned to one or more of the groups of central plant equipment.

    Systems and methods for cascaded model predictive control
    23.
    发明授权
    Systems and methods for cascaded model predictive control 有权

    公开(公告)号：US09852481B1

    公开(公告)日：2017-12-26

    申请号：US13802154

    申请日：2013-03-13

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Michael J. Wenzel

    IPC: G06Q50/06 ,  G06Q20/14

    CPC classification number: G06Q50/06 ,  G06Q20/085 ,  G06Q20/145

    Abstract: Methods and systems to minimize energy cost in response to time-varying energy prices are presented for a variety of different pricing scenarios. A cascaded model predictive control system is disclosed comprising an inner controller and an outer controller. The inner controller controls power use using a derivative of a temperature setpoint and the outer controller controls temperature via a power setpoint or power deferral. An optimization procedure is used to minimize a cost function within a time horizon subject to temperature constraints, equality constraints, and demand charge constraints. Equality constraints are formulated using system model information and system state information whereas demand charge constraints are formulated using system state information and pricing information. A masking procedure is used to invalidate demand charge constraints for inactive pricing periods including peak, partial-peak, off-peak, critical-peak, and real-time.

    SYSTEMS AND METHODS FOR RETRAINING OUTLIER DETECTION LIMITS IN A BUILDING MANAGEMENT SYSTEM
    27.
    发明申请
    SYSTEMS AND METHODS FOR RETRAINING OUTLIER DETECTION LIMITS IN A BUILDING MANAGEMENT SYSTEM 审中-公开
    用于重建建筑管理系统中的外部检测限制的系统和方法

    公开(公告)号：US20160313023A1

    公开(公告)日：2016-10-27

    申请号：US14694660

    申请日：2015-04-23

    Applicant: Johnson Controls Technology Company

    Inventor： Andrew J. Przybylski ,  Michael J. Wenzel ,  Andrew J. Boettcher

    IPC: F24F11/00

    CPC classification number: G05B23/0297 ,  F24F11/30 ,  F24F2110/20 ,  G05B2219/2614 ,  G05B2219/32201

    Abstract: A building management system (BMS) includes a controller that monitors performance values for a controlled process during a first time period relative to initial outlier detection limits and generates new outlier detection limits for the controlled process in response to a detected change in the controlled process during the first time period. The controller monitors the performance values relative to the new outlier detection limits during a second time period to detect outliers during the second time period. The controller calculates a confidence difference for an estimated confidence parameter based on a number of outliers detected using the new outlier detection limits during the second time period. The controller adjusts the new outlier detection limits in response to the confidence difference dropping below a threshold value.

    Abstract translation: 建筑物管理系统（BMS）包括一个控制器，该控制器在相对于初始异常值检测极限的第一时间段期间监视被控制过程的性能值，并响应于受控过程中检测到的变化而产生新受控过程的异常值检测限 第一时间段 控制器在第二时间期间监视相对于新的异常值检测限的性能值，以在第二时间段期间检测异常值。 控制器基于在第二时间段期间使用新的异常值检测限检测到的异常值的数目来计算估计置信参数的置信区间。 响应于置信区间下降到阈值以下，控制器调整新的异常值检测限。

    Systems and methods for energy cost optimization in a building system
    28.
    发明授权
    Systems and methods for energy cost optimization in a building system 有权
    建筑系统能源成本优化的系统和方法

    公开(公告)号：US09436179B1

    公开(公告)日：2016-09-06

    申请号：US13802279

    申请日：2013-03-13

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Michael J. Wenzel

    IPC: G05D3/12 ,  G05D5/00 ,  G05D9/00 ,  G05D11/00 ,  G05D17/00 ,  G01R11/56 ,  G01R21/133 ,  G06F17/00 ,  G05B23/02

    CPC classification number: G05B23/02 ,  G05B15/02 ,  G05B19/042 ,  G05B2219/2639 ,  G05B2219/2642 ,  Y02B70/32 ,  Y02B70/3225 ,  Y02B70/3241 ,  Y04S20/20 ,  Y04S20/222 ,  Y04S20/224 ,  Y04S20/40 ,  Y04S20/44 ,  Y04S20/46

    Abstract: Methods and systems to minimize energy cost in response to time-varying energy prices are presented for a variety of different pricing scenarios. A cascaded model predictive control system is disclosed comprising an inner controller and an outer controller. The inner controller controls power use using a derivative of a temperature setpoint and the outer controller controls temperature via a power setpoint or power deferral. An optimization procedure is used to minimize a cost function within a time horizon subject to temperature constraints, equality constraints, and demand charge constraints. Equality constraints are formulated using system model information and system state information whereas demand charge constraints are formulated using system state information and pricing information. A masking procedure is used to invalidate demand charge constraints for inactive pricing periods including peak, partial-peak, off-peak, critical-peak, and real-time.

    Abstract translation: 针对各种不同的定价情况，提出了响应时变能源价格最小化能源成本的方法和系统。 公开了一种级联模型预测控制系统，其包括内部控制器和外部控制器。 内部控制器使用温度设定值的导数控制功率使用，外部控制器通过功率设定值或功率延迟来控制温度。 优化程序用于在受到温度约束，等式约束和需求电荷约束的时间范围内最小化成本函数。 使用系统模型信息和系统状态信息制定平等约束，而使用系统状态信息和定价信息来制定需求收费约束。 屏蔽程序用于使包括峰值，部分峰值，非高峰，临界峰值和实时在内的非活动定价周期的需求电荷约束无效。

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