SYSTEMS AND METHODS FOR MONETIZING AND PRIORITIZING BUILDING FAULTS
    21.
    发明申请
    SYSTEMS AND METHODS FOR MONETIZING AND PRIORITIZING BUILDING FAULTS 审中-公开
    用于制造和优化建筑物故障的系统和方法

    公开(公告)号:US20150227870A1

    公开(公告)日:2015-08-13

    申请号:US14179672

    申请日:2014-02-13

    CPC classification number: G06Q10/0635

    Abstract: A fault parameter of an energy consumption model is modulated. The energy consumption model is used to estimate an amount of energy consumption at various values of the fault parameter. A first set of variables is generated including differences between a target value of the fault parameter and the various values of the fault parameter. A second set of variables is generated including differences between an estimated amount of energy consumption with the fault parameter at the target value and the estimated amounts of energy consumption with the fault parameter at the various values. The first set of variables and second set of variables are used to develop a regression model for the fault parameter. The regression model estimates a change in energy consumption based on a change in the fault parameter. Regression models are developed for multiple fault parameters and used to prioritize faults.

    Abstract translation: 能量消耗模型的故障参数被调制。 能量消耗模型用于估计各种故障参数值下的能量消耗量。 生成第一组变量,包括故障参数的目标值与故障参数的各种值之间的差异。 产生第二组变量,包括估计的能量消耗量与目标值的故障参数之间的差异以及在各种值下的故障参数的估计能量消耗量之间的差异。 第一组变量和第二组变量用于开发故障参数的回归模型。 回归模型基于故障参数的变化来估计能量消耗的变化。 开发了多种故障参数的回归模型,用于确定故障的优先级。

    SYSTEMS AND METHODS FOR DETERMINING THE UNCERTAINTY IN PARAMETERS OF AN ENERGY USE MODEL
    22.
    发明申请
    SYSTEMS AND METHODS FOR DETERMINING THE UNCERTAINTY IN PARAMETERS OF AN ENERGY USE MODEL 有权
    用于确定能源使用模型参数中的不确定度的系统和方法

    公开(公告)号:US20150178633A1

    公开(公告)日:2015-06-25

    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。

    Building energy storage system with multiple demand charge cost optimization

    公开(公告)号:US10909642B2

    公开(公告)日:2021-02-02

    申请号:US16352485

    申请日:2019-03-13

    Abstract: An energy storage system includes a battery and an energy storage controller. The battery is configured to store electrical energy purchased from a utility and to discharge the stored electrical energy for use in satisfying a building energy load. The energy storage controller is configured to generate a cost function including multiple demand charges. Each of the demand charges corresponds to a demand charge period and defines a cost based on a maximum amount of the electrical energy purchased from the utility during any time step within the corresponding demand charge period. The controller is configured to modify the cost function by applying a demand charge mask to each of the multiple demand charges. The demand charge masks cause the controller to disregard the electrical energy purchased from the utility during any time steps that occur outside the corresponding demand charge period when calculating a value for the demand charge.

    Systems and methods for prediction model update scheduling for building equipment

    公开(公告)号:US10884398B2

    公开(公告)日:2021-01-05

    申请号:US16240466

    申请日:2019-01-04

    Abstract: A building system includes building equipment operable to consume one or more resources and a control system configured to generate, based on a prediction model, predictions of a load on the building equipment or a price of the one or more resources for a plurality of time steps in an optimization period, solve, based on the predictions, an optimization problem to generate control inputs for the equipment that minimize a predicted cost of consuming the resources over the optimization period, control the building equipment to operate in accordance with the control inputs, monitor an error metric that characterizes an error between the predictions and actual values of the at least one of the load on the building equipment or the price of the one or more resources during the optimization period, detect an occurrence of a trigger condition, and in response to detecting the trigger condition, update the prediction model.

    BUILDING ENERGY STORAGE SYSTEM WITH MULTIPLE DEMAND CHARGE COST OPTIMIZATION

    公开(公告)号:US20190213695A1

    公开(公告)日:2019-07-11

    申请号:US16352485

    申请日:2019-03-13

    CPC classification number: G06Q50/06 G05B13/026 G06Q30/0284 Y04S10/54

    Abstract: An energy storage system includes a battery and an energy storage controller. The battery is configured to store electrical energy purchased from a utility and to discharge the stored electrical energy for use in satisfying a building energy load. The energy storage controller is configured to generate a cost function including multiple demand charges. Each of the demand charges corresponds to a demand charge period and defines a cost based on a maximum amount of the electrical energy purchased from the utility during any time step within the corresponding demand charge period. The controller is configured to modify the cost function by applying a demand charge mask to each of the multiple demand charges. The demand charge masks cause the controller to disregard the electrical energy purchased from the utility during any time steps that occur outside the corresponding demand charge period when calculating a value for the demand charge.

    BUILDING ENERGY STORAGE SYSTEM WITH PEAK LOAD CONTRIBUTION COST OPTIMIZATION

    公开(公告)号:US20180196456A1

    公开(公告)日:2018-07-12

    申请号:US15405234

    申请日:2017-01-12

    Abstract: An energy storage system for a building includes a battery and an energy storage controller. The battery is configured to store electrical energy purchased from a utility and to discharge stored electrical energy for use in satisfying a building energy load. The energy storage controller is configured to generate a cost function including a peak load contribution (PLC) term. The PLC term represents a cost based on electrical energy purchased from the utility during coincidental peak hours in an optimization period. The controller is configured to modify the cost function by applying a peak hours mask to the PLC term. The peak hours mask identifies one or more hours in the optimization period as projected peak hours and causes the energy storage controller to disregard the electrical energy purchased from the utility during any hours not identified as projected peak hours when calculating a value for the PLC term.

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