Systems and methods for adaptively updating equipment models

    公开(公告)号:US10317864B2

    公开(公告)日:2019-06-11

    申请号:US15694033

    申请日:2017-09-01

    Abstract: A system for generating and using a predictive model to control building equipment includes building equipment operable to affect one or more variables in a building and an operating data aggregator that collects a set of operating data for the building equipment. The system includes an autocorrelation corrector that removes an autocorrelated model error from the set of operating data by determining a residual error representing a difference between an actual output of the building equipment and an output predicted by the predictive model, using the residual error to calculate an autocorrelation for the model error, and transforming the set of operating data using the autocorrelation. The system includes a model generator module that generates a set of model coefficients for the predictive model using the transformed set of operating data and a controller that controls the building equipment by executing a model-based control strategy that uses the predictive model.

    CENTRAL PLANT CONTROL SYSTEM WITH EQUIPMENT MAINTENANCE EVALUATION

    公开(公告)号:US20190066236A1

    公开(公告)日:2019-02-28

    申请号:US16112582

    申请日:2018-08-24

    Abstract: A control system for cost optimal operation of an energy facility including equipment covered by a maintenance contract includes equipment configured to operate during an optimization period and a controller. The controller modifies a cost function to include a maintenance cost term that defines a maintenance cost as a function of a rate variable and an equipment usage variable. The controller simulates a cost of operating the energy facility over the optimization period at each of a plurality of different values of the rate variable, selects a value of the rate variable that results in a lowest cost of operating the energy facility over the optimization period, performs an online optimization of the cost function with the rate variable set to the selected value to generate one or more setpoints for the equipment, and operates the equipment during the optimization period in accordance with the generated setpoints.

    SYSTEM IDENTIFICATION AND MODEL DEVELOPMENT
    125.
    发明申请

    公开(公告)号:US20190025774A1

    公开(公告)日:2019-01-24

    申请号:US16144192

    申请日:2018-09-27

    Abstract: A controller for a building system receives training data including input data and output data. The output data indicate a state of the building system affected by the input data. The controller pre-processes the training data using a first set of pre-processing options to generate a first set of training data and pre-processes the training data using a second set of pre-processing options to generate a second set of training data. The controller performs a multi-stage optimization process to identify multiple different sets of model parameters of a dynamic model for the building system. The multi-stage optimization process includes a first stage in which the controller uses the first set of training data to identify a first set of model parameters and a second stage in which the controller uses the second set of training data to identify a second set of model parameters. The controller uses the dynamic model to operate the building system.

    BUILDING ENERGY OPTIMIZATION SYSTEM WITH AUTOMATED AND DYNAMIC ECONOMIC LOAD DEMAND RESPONSE (ELDR) OPTIMIZATION

    公开(公告)号:US20180356770A1

    公开(公告)日:2018-12-13

    申请号:US15974411

    申请日:2018-05-08

    Abstract: An energy optimization system for a building includes a processing circuit configured to provide a first bid including one or more first participation hours and a first load reduction amount for each of the one or more first participation hours to a computing system. The processing circuit is configured to operate one or more pieces of building equipment based on one or more first equipment loads and receive one or more awarded or rejected participation hours from the computing system responsive to the first bid. The processing circuit is configured to generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads based on the one or more awarded or rejected participation hours and operate the one or more pieces of building equipment based on the one or more second equipment loads.

    BUILDING ENERGY STORAGE SYSTEM WITH MULTIPLE DEMAND CHARGE COST OPTIMIZATION

    公开(公告)号:US20180197253A1

    公开(公告)日:2018-07-12

    申请号:US15405236

    申请日:2017-01-12

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

    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.

    RENEWABLE ENERGY SYSTEM WITH SIMULTANEOUS RAMP RATE CONTROL AND FREQUENCY REGULATION

    公开(公告)号:US20170104342A1

    公开(公告)日:2017-04-13

    申请号:US15247872

    申请日:2016-08-25

    Abstract: A frequency regulation and ramp rate control system includes a battery configured to store and discharge electric power, a battery power inverter configured to control an amount of the electric power in the battery, a photovoltaic power inverter configured to control an electric power output of a photovoltaic field, and a controller. The controller generates a battery power setpoint for the battery power inverter and a photovoltaic power setpoint for the photovoltaic power inverter. The generated setpoints cause the battery power inverter and the photovoltaic power inverter to simultaneously perform both frequency regulation and ramp rate control.

    CASCADED SYSTEMS AND METHODS FOR CONTROLLING ENERGY USE DURING A DEMAND LIMITING PERIOD
    129.
    发明申请
    CASCADED SYSTEMS AND METHODS FOR CONTROLLING ENERGY USE DURING A DEMAND LIMITING PERIOD 审中-公开
    用于控制需求限制期间能源使用的分类系统和方法

    公开(公告)号:US20160195888A1

    公开(公告)日:2016-07-07

    申请号:US15068475

    申请日:2016-03-11

    Abstract: A cascaded control system is configured to control power consumption of a building during a demand limiting period. The cascaded control system includes an energy use setpoint generator and a feedback controller. The energy use setpoint generator is configured to use energy pricing data and measurements of a variable condition within the building to generate an energy use setpoint during the demand limiting period. The feedback controller is configured to use a difference between the energy use setpoint and a measured energy use to generate a control signal for building equipment that operate to affect the variable condition within the building during the demand limiting period.

    Abstract translation: 级联控制系统被配置为在需求限制期间控制建筑物的功率消耗。 级联控制系统包括能量使用设定点发生器和反馈控制器。 能量使用设定点发生器被配置为在建筑物内使用能量定价数据和可变条件的测量,以在需求限制期间产生能量使用设定点。 反馈控制器被配置为使用能量使用设定点和测量的能量使用之间的差异来生成用于在需求限制周期期间操作以影响建筑物内的可变状况的建筑设备的控制信号。

    SYSTEMS AND METHODS FOR ENERGY COST OPTIMIZATION IN A BUILDING SYSTEM
    130.
    发明申请
    SYSTEMS AND METHODS FOR ENERGY COST OPTIMIZATION IN A BUILDING SYSTEM 有权
    建筑系统能源成本优化的系统和方法

    公开(公告)号:US20160195866A1

    公开(公告)日:2016-07-07

    申请号:US15068470

    申请日:2016-03-11

    Abstract: A controller is configured to use an energy cost function to predict a total cost of energy purchased from an energy provider as a function of one or more setpoints provided by the controller. The energy cost function includes a demand charge term defining a cost per unit of power corresponding to a maximum power usage of the building system. The controller is configured to linearize the demand charge term by imposing demand charge constraints and to mask each of the demand charge constraints that applies to an inactive pricing period. The controller is configured to determine optimal values of the one or more setpoints by performing an optimization procedure that minimizes the total cost of energy subject to the demand charge constraints and to provide the optimal values of the one or more setpoints to equipment of the building system that operate to affect the maximum power usage.

    Abstract translation: 控制器被配置为使用能量成本函数来预测作为由控制器提供的一个或多个设定点的函数的从能量提供者购买的能量的总成本。 能量成本函数包括定义与建筑物系统的最大功率使用相对应的每单位功率成本的需求费用项。 控制器被配置为通过施加需求费用约束来线性化需求费用条款,并且掩蔽适用于非活动定价周期的每个需求费用约束。 控制器被配置为通过执行最小化受需求电荷约束的能量的总成本的优化过程来确定一个或多个设定点的最佳值,并且将一个或多个设定点的最佳值提供给建筑物系统的设备 其操作以影响最大功率使用。

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