-
公开(公告)号：US10282796B2
公开(公告)日：2019-05-07
申请号：US15405236
申请日：2017-01-12
Applicant: Johnson Controls Technology Company
Inventor： Mohammad N. ElBsat , Michael J. Wenzel , Robert D. Turney
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.
-
公开(公告)号：US20190107825A1
公开(公告)日：2019-04-11
申请号：US16214984
申请日：2018-12-10
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Robert D. Turney , Kirk H. Drees , Matthew J. Asmus
IPC: G05B19/418 , G06Q10/04 , G06Q10/06 , G06Q50/06 , G05B15/02 , G05F1/66 , G05B13/02 , G05B13/04 , G06N20/00
Abstract: A controller for equipment obtains utility rate data indicating a price of one or more resources consumed by the equipment to serve energy loads. The controller generates 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 one or more resources consumed by the equipment at each of a plurality of time steps. The controller optimizes the objective function to determine a distribution of predicted energy loads across the equipment at each of the plurality of time steps. Load equality constraints on the objective function ensure that the distribution satisfies the predicted energy loads at each of the plurality of time steps. The controller operates the equipment to achieve the distribution of the predicted energy loads at each of the plurality of time steps.
-
公开(公告)号：US20190078801A1
公开(公告)日：2019-03-14
申请号：US16185274
申请日：2018-11-09
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Matthew J. Ellis , Michael J. Wenzel , Mohammad N. ElBsat , Juan Esteban Tapiero Bernal , Brennan H. Fentzlaff
Abstract: A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.
-
公开(公告)号：US20180313563A1
公开(公告)日：2018-11-01
申请号：US15963857
申请日：2018-04-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Nishith R. Patel
Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.
-
公开(公告)号：US20170103483A1
公开(公告)日：2017-04-13
申请号：US15247879
申请日：2016-08-25
Applicant: Johnson Controls Technology Company
Inventor： Kirk H. Drees , Michael J. Wenzel , Robert D. Turney
CPC classification number: G06Q50/16 , G05B13/021 , G05F1/66 , G06Q10/04 , G06Q10/06315 , G06Q30/0207 , G06Q50/06 , H02J3/14 , H02J3/32 , H02J15/00 , Y02B70/3225 , Y04S20/222
Abstract: A building management system includes building equipment configured to consume electrical energy and generate thermal energy, thermal energy storage configured to store at least a portion of the thermal energy generated by the building equipment and to discharge the stored thermal energy, electrical energy storage configured to store electrical energy purchased from a utility and to discharge the stored electrical energy, and a controller. The controller is configured to determine, for each time step within a time horizon, an optimal amount of electrical energy stored or discharged by the electrical energy storage by optimizing a value function.
-
Patent Agency Ranking
公开(公告)号：US20150316902A1
公开(公告)日：2015-11-05
申请号：US14634609
申请日：2015-02-27
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Robert D. Turney , Kirk H. Drees , Matthew J. Asmus
CPC classification number: G05B19/418 , G05B13/021 , G05B13/048 , G05B15/02 , G05B2219/2642 , G05B2219/31414 , G05B2219/32021 , G05F1/66 , G06N99/005 , G06Q10/04 , G06Q10/06 , G06Q50/06 , Y02P70/161 , Y02P80/114 , Y02P90/86
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。
-
公开(公告)号：US12216452B2
公开(公告)日：2025-02-04
申请号：US18468118
申请日：2023-09-15
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Robert D. Turney , Kirk H. Drees , Matthew J. Asmus
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.
-
公开(公告)号：US20240061404A1
公开(公告)日：2024-02-22
申请号：US18468118
申请日：2023-09-15
Applicant: Johnson Controls Technology Company
Inventor： Michael J. Wenzel , Robert D. Turney , Kirk H. Drees , Matthew J. Asmus
CPC classification number: G05B19/418 , G05B15/02 , G06Q10/04 , G06Q10/06 , G06Q50/06 , G06N20/00 , G05B13/048 , G05B2219/2642 , G05B2219/31414 , G05B2219/32021 , Y02P70/10 , Y02P80/10 , G05B2219/2639
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.
-
公开(公告)号：US11900287B2
公开(公告)日：2024-02-13
申请号：US16457314
申请日：2019-06-28
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Sudhi R. Sinha , Michael J. Wenzel , Mohammad N. Elbsat
IPC: G06Q10/20 , G06Q10/0631 , G06N5/02
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.
-
50.发明授权公开(公告)号：US11445024B2
公开(公告)日：2022-09-13
申请号：US16695519
申请日：2019-11-26
Applicant: Johnson Controls Technology Company
Inventor： Robert D. Turney , Serdar Suindykov , Mohammad N. Elbsat , Michael J. Wenzel
Abstract: A smart edge controller for building equipment that operates to affect a variable state or condition within a building. The controller includes processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including obtaining sensor data indicating environmental conditions of the building and include determining an amount of available processing resources at the smart edge controller or at the building equipment. The operations include automatically scaling a level of complexity of an optimization of a cost function based on the available processing resources and include performing the optimization of the cost function at the automatically scaled level of complexity to generate a first setpoint trajectory. The first setpoint trajectory includes operating setpoints for the building equipment at time steps within an optimization period. The operations include operating the building equipment based on the first setpoint trajectory.
-
-
-
-
-
-
-
-
-
Search Results
128
records
(took 0.087 seconds)
