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    BUILDING MANAGEMENT SYSTEM FOR FORECASTING TIME SERIES VALUES OF BUILDING VARIABLES
    21.
    发明申请
    BUILDING MANAGEMENT SYSTEM FOR FORECASTING TIME SERIES VALUES OF BUILDING VARIABLES 审中-公开
    建筑管理系统预测建筑变量的时间序列值

    公开(公告)号：US20150316907A1

    公开(公告)日：2015-11-05

    申请号：US14717593

    申请日：2015-05-20

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel

    IPC: G05B13/04 ,  G06N99/00

    CPC classification number: G05B19/418 ,  G05B13/021 ,  G05B13/048 ,  G05B15/02 ,  G05B2219/2642 ,  G05B2219/31414 ,  G05B2219/32021 ,  G05F1/66 ,  G06N20/00 ,  G06N99/00 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q50/06 ,  Y02P70/161 ,  Y02P80/114 ,  Y02P90/86

    Abstract: A building management system (BMS) includes sensors that measure time series values of building variables and a deterministic model generator that uses historical values for the time series of building variables to train a deterministic model that predicts deterministic values for the time series. The BMS includes a stochastic model generator that uses differences between actual values for the time series and the predicted deterministic values to train a stochastic model that predicts a stochastic value for the time series. The BMS includes a forecast adjuster that adjusts the predicted deterministic values using the predicted stochastic value to generate an adjusted forecast for the time series. The BMS includes a demand response optimizer that uses the adjusted forecast to generate an optimal set of control actions for building equipment of the BMS. The building equipment operate to affect the building variables.

    Abstract translation: 建筑物管理系统（BMS）包括测量建筑变量的时间序列值的传感器和确定性模型生成器，其使用建筑变量的时间序列的历史值来训练预测时间序列的确定性值的确定性模型。 BMS包括使用时间序列的实际值和预测的确定值之间的差异来训练预测时间序列的随机值的随机模型的随机模型发生器。 BMS包括预测调节器，其使用预测的随机值来调整预测的确定值，以产生时间序列的调整后的预测。 BMS包括需求响应优化器，其使用经调整的预测来生成用于建立BMS设备的最佳控制动作集合。 建筑设备操作以影响建筑变量。

    Model predictive maintenance system with integrated measurement and verification functionality
    24.
    发明授权
    Model predictive maintenance system with integrated measurement and verification functionality 有权

    公开(公告)号：US11416955B2

    公开(公告)日：2022-08-16

    申请号：US16687571

    申请日：2019-11-18

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel ,  Jingduo Fan ,  Robert D. Turney

    IPC: G06Q10/04 ,  G06Q10/00 ,  G06Q50/16 ,  G06N5/02

    Abstract: A model predictive maintenance system for building equipment including one or more processing circuits including processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include obtaining an objective function that defines a cost of operating the building equipment and performing maintenance on the building equipment as a function of operating decisions and maintenance decisions for the building equipment for time steps within a time period. The operations include performing an optimization of the objective function to generate a maintenance and replacement strategy for the building equipment over a duration of an optimization period. The operations include estimating a savings loss predicted to result from a deviation from the maintenance and replacement strategy. The operations include adjusting an amount of savings expected to be achieved by energy conservation measures for the building equipment based on the savings loss.

    Central plant control system with asset allocation override
    26.
    发明授权
    Central plant control system with asset allocation override 有权

    公开(公告)号：US11271769B2

    公开(公告)日：2022-03-08

    申请号：US16684371

    申请日：2019-11-14

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. Elbsat

    IPC: G05B13/02 ,  H04L12/28

    Abstract: A controller for building equipment that operate to provide heating or cooling for a building or campus. The controller includes a processing circuit configured to perform an optimization of an objective function subject to an override constraint to determine amounts of one or more resources to be produced by the building equipment and control the building equipment to produce the amounts of the one or more resources determined by performing the optimization subject to the override constraint. The override constraint overrides an output of the optimization by specifying an override amount of a first resource of the one or more resources to be produced by a first subset of the building equipment.

    Building energy cost optimization system with asset sizing
    27.
    发明授权
    Building energy cost optimization system with asset sizing 有权

    公开(公告)号：US11238547B2

    公开(公告)日：2022-02-01

    申请号：US16518314

    申请日：2019-07-22

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel

    IPC: G05B13/02 ,  G06Q50/06 ,  G06Q30/02

    Abstract: A controller is configured to obtain a cost function defining a cost of operating building equipment over a time period. The cost function includes a revenue term defining revenue to be obtained by operating the equipment to participate in an incentive program over the time period. The controller is configured to modify the cost function to account for an initial purchase cost of a new asset to be added to the equipment and an effect of the new asset on the cost of operating the equipment. The initial purchase cost of the new asset and the effect of the new asset on the cost of operating the equipment are functions of asset size variables. The controller is also configured to perform an optimization of the modified cost function to determine values for energy load setpoints, the asset size variables, and participation in the incentive program over the time period.

    Cost optimization of a central energy facility with block-and-index rate structure
    29.
    发明授权
    Cost optimization of a central energy facility with block-and-index rate structure 有权

    公开(公告)号：US11164126B2

    公开(公告)日：2021-11-02

    申请号：US16223746

    申请日：2018-12-18

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel

    IPC: G06Q50/06 ,  G06Q10/04 ,  G06Q10/06

    Abstract: A building energy system includes equipment operable to consume, store, or generate one or more resources subject to a block-and-index rate structure. The building energy system includes a controller configured to obtain a cost function that represents a block of the resource(s) from the utility provider as being sourced from a first supplier at a fixed rate and a remainder of the resource(s) from the utility provider as being sourced from a second supplier at a variable rate. The controller is configured to optimize the cost function to generate values for one or more decision variables that indicate an amount of resource(s) to purchase, store, generate, or consume at each of a plurality of time steps, and control the equipment to achieve the values of the one or more decision variables at each of the time steps.

    Building energy optimization system with capacity market program (CMP) participation
    30.
    发明授权
    Building energy optimization system with capacity market program (CMP) participation 有权

    公开(公告)号：US11068821B2

    公开(公告)日：2021-07-20

    申请号：US16294490

    申请日：2019-03-06

    Applicant: Johnson Controls Technology Company

    Inventor： Michael J. Wenzel ,  Mohammad N. Elbsat

    IPC: G05B17/02 ,  G06Q10/06 ,  H02J3/14 ,  H04L12/24 ,  H02J3/32 ,  G06Q50/06 ,  H02J3/38 ,  H02J3/00

    Abstract: An energy optimization system for participating in a capacity market program (CMP) includes one or more memory devices storing instructions, that, when executed on one or more processors, cause the one or more processors to receive a nominated capacity value, generate an objective function and one or more CMP constraints, wherein the one or more CMP constraints cause an optimization of the objective function with the CMP constraints to generate a resource allocation that reduces the load of the facility by the nominated capacity value in response to receiving the dispatch from the utility, receive the dispatch from the utility, optimize the objective function based on the nominated capacity value, the dispatch, and the one or more CMP constraints to determine the resource allocation, and control one or more pieces of building equipment based on the determined resource allocation.

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