Systems and methods for evaluating a fault condition in a building
    171.
    发明授权
    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况的系统和方法

    公开(公告)号:US09471722B2

    公开(公告)日:2016-10-18

    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。

    Systems and methods for determining the uncertainty in parameters of an energy use model
    172.
    发明授权
    Systems and methods for determining the uncertainty in parameters of an energy use model 有权
    确定能源使用模型参数不确定度的系统和方法

    公开(公告)号:US09355069B2

    公开(公告)日:2016-05-31

    申请号:US14137627

    申请日:2013-12-20

    Abstract: Systems and methods for determining the uncertainty in parameters of a building energy use model are provided. A disclosed method includes receiving an energy use model for a building site. The energy use model includes one or more predictor variables and one or more model parameters. The method further includes calculating a gradient of an output of the energy use model with respect to the model parameters, determining a covariance matrix using the calculated gradient, and using the covariance matrix to identify an uncertainty of the model parameters. The uncertainty of the model parameters may correspond to entries in the covariance matrix.

    Abstract translation: 提供了用于确定建筑物能量使用模型参数不确定度的系统和方法。 公开的方法包括接收建筑工地的能量使用模型。 能量使用模型包括一个或多个预测变量和一个或多个模型参数。 该方法还包括相对于模型参数计算能量使用模型的输出的梯度,使用所计算的梯度来确定协方差矩阵,以及使用协方差矩阵来识别模型参数的不确定性。 模型参数的不确定性可以对应于协方差矩阵中的条目。

    HIGH LEVEL CENTRAL PLANT OPTIMIZATION
    173.
    发明申请
    HIGH LEVEL CENTRAL PLANT OPTIMIZATION 审中-公开
    高层次中央工厂优化

    公开(公告)号:US20150316902A1

    公开(公告)日:2015-11-05

    申请号:US14634609

    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 high level optimization module is configured to optimize the objective function over the optimization period subject to load equality constraints and capacity constraints on the central plant equipment to determine an optimal distribution of the building energy loads over multiple groups of the central plant equipment.

    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。 高级优化模块被配置为在优化周期内优化目标函数,这受到中央设备设备上的负载均衡约束和容量限制,以确定建筑物能量负载在多组中央设备设备上的最佳分布。

    High level central plant optimization

    公开(公告)号:US12216452B2

    公开(公告)日:2025-02-04

    申请号:US18468118

    申请日:2023-09-15

    Abstract: A controller for equipment that operate to provide heating or cooling to a building or campus includes a processing circuit configured to obtain utility rate data indicating a price of resources consumed by the equipment to serve energy loads of the building or campus, obtain an objective function that expresses a total monetary cost of operating the equipment over an optimization period as a function of the utility rate data and an amount of the resources consumed by the equipment, determine a relationship between resource consumption and load production of the equipment, optimize the objective function over the optimization subject to a constraint based on the relationship between the resource consumption and the load production of the equipment to determine a distribution of the load production across the equipment, and operate the equipment to achieve the distribution.

    Model predictive maintenance system with budgetary constraints

    公开(公告)号:US11900287B2

    公开(公告)日:2024-02-13

    申请号:US16457314

    申请日:2019-06-28

    CPC classification number: G06Q10/06315 G06N5/02 G06Q10/20

    Abstract: A model predictive maintenance (MPM) system for building equipment. The MPM system includes an equipment controller configured to operate the building equipment to affect a variable state or condition in a building. The MPM system includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period. The MPM system includes a budget manager configured to generate one or more budget constraints. The MPM system includes an objective function optimizer configured to optimize an objective function subject to the one or more budget constraints to determine a maintenance and replacement schedule for the building equipment. The objective function includes maintenance and replacement costs of the building equipment and the predicted cost of operating the building equipment.

    Model predictive maintenance system with short-term scheduling

    公开(公告)号:US11635751B2

    公开(公告)日:2023-04-25

    申请号:US17017028

    申请日:2020-09-10

    Abstract: A method for performing model predictive maintenance (MPM) of building equipment includes obtaining a first objective function that defines a cost of operating the building equipment and at least one of replacing the building equipment or performing maintenance on the building equipment as a function of operating decisions and at least one of replacement decisions or maintenance decisions for the building equipment for multiple short-term time steps within a short-term horizon. The method also includes performing a first optimization of the first objective function to generate a short-term maintenance and replacement schedule for the building equipment over a duration of the short-term horizon. The method also includes using a result of the first optimization to perform a second optimization of a second objective function to generate a long-term maintenance and replacement schedule for the building equipment over a duration of a long-term horizon.

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