INCORPORATING A DEMAND CHARGE IN CENTRAL PLANT OPTIMIZATION
    32.
    发明申请
    INCORPORATING A DEMAND CHARGE IN CENTRAL PLANT OPTIMIZATION 审中-公开
    在中央工厂优化中纳入需求费用

    公开(公告)号:US20150316901A1

    公开(公告)日:2015-11-05

    申请号:US14634599

    申请日:2015-02-27

    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 an optimization period as a function of the utility rate data and an amount of the one or more resources consumed by the central plant equipment. The optimization system includes a demand charge module configured to modify the objective function to account for a demand charge indicating a cost associated with maximum power consumption during a demand charge period. The high level optimization module is configured to optimize the objective function over the demand charge period.

    Abstract translation: 用于中央设备的优化系统包括处理电路,其被配置为接收指示建筑物能量负载的负荷预测数据和表示中央设备的设备消耗的一个或多个资源的价格的效用率数据,以用于建筑物能量负荷。 优化系统包括高级优化模块,其被配置为生成目标函数,该目标函数表示在优化周期内操作中央工厂的总货币成本,作为效用率数据的函数,以及所述一个或多个资源消耗的量 中央工厂设备。 所述优化系统包括需求费用模块,所述需求费用模块被配置为修改所述目标函数以考虑在需求充电期间指示与最大功耗相关联的成本的需求费用。 高级优化模块被配置为在需求充电期间优化目标函数。

    SYSTEMS AND METHODS FOR EVALUATING A FAULT CONDITION IN A BUILDING
    33.
    发明申请
    SYSTEMS AND METHODS FOR EVALUATING A FAULT CONDITION IN A BUILDING 有权
    用于评估建筑物中的故障状态的系统和方法

    公开(公告)号:US20140222394A1

    公开(公告)日:2014-08-07

    申请号:US13759933

    申请日:2013-02-05

    CPC classification number: G06F17/5009 G06Q10/0635

    Abstract: Systems and methods for evaluating a fault condition in a building include determining a change to energy use model parameters attributable to the fault condition. The change to the energy use model parameters are used to calculate a corresponding change to the building's energy consumption.

    Abstract translation: 用于评估建筑物中的故障状况的系统和方法包括确定归因于故障状况的能量使用模型参数的变化。 能源使用模型参数的变化用于计算建筑物能源消耗的相应变化。

    Incorporating a demand charge in central plant optimization

    公开(公告)号:US11275355B2

    公开(公告)日:2022-03-15

    申请号:US16543320

    申请日:2019-08-16

    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 an optimization period as a function of the utility rate data and an amount of the one or more resources consumed by the central plant equipment. The optimization system includes a demand charge module configured to modify the objective function to account for a demand charge indicating a cost associated with maximum power consumption during a demand charge period. The high level optimization module is configured to optimize the objective function over the demand charge period.

    SYSTEMS AND METHODS FOR INTERVENTION CONTROL IN A BUILDING MANAGEMENT SYSTEM

    公开(公告)号:US20210240147A1

    公开(公告)日:2021-08-05

    申请号:US16795197

    申请日:2020-02-19

    Abstract: A method of predicting a time of effect of an intervention of a point of a Building Management System (BMS). The method includes evaluating a first input to determine how an intervention of a point will affect a variable of the BMS; predicting a time at which the intervention will affect the variable of the BMS; presenting feedback to a user via a user interface before implementing the intervention of the point, the feedback comprising the time at which the intervention of the point is predicted to affect the variable; and implementing the intervention or a cancellation of the intervention based at least in part on a second input from the user or an automated response to the feedback. The method allows for users to determine whether to implement proposed interventions in real-time.

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