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.

    CENTRAL PLANT OPTIMIZATION WITH OPTIMIZATION MODIFICATION

    公开(公告)号:US20200379447A1

    公开(公告)日:2020-12-03

    申请号:US16428548

    申请日:2019-05-31

    Abstract: A control system for a central plant having subplants including devices operating to serve energy loads of a building. The system includes a high level optimization module that performs high level optimization of thermal loads subject to constraints to generate subplant load allocations. The control system includes a low level optimization module that performs low level optimization of the subplant load allocations to determine operating states for the devices. The control system includes a constraint modifier that modifies the constraints for the high level optimization module based on equipment schedules. The control system also includes a binary optimization modifier including a pruner module that receives the minimum off schedule to determine adjusted branches and a seeder module that receives the minimum on schedule to determine a starting node for use in binary optimization performed by the low optimization module.

    Building HVAC system with multi-level model predictive control

    公开(公告)号:US10809676B2

    公开(公告)日:2020-10-20

    申请号:US16601391

    申请日:2019-10-14

    Abstract: A heating, ventilation, or air conditioning (HVAC) system for a building includes indoor subsystems, a high-level controller, and low-level controllers. Each indoor subsystem includes one or more indoor units configured to provide heating or cooling to one or more building spaces. The high-level controller generates a plurality of indoor subsystem energy targets, each indoor subsystem energy target corresponding to one of the plurality of indoor subsystems and generated based on a thermal capacitance of one or more building spaces to which heating or cooling is provided by the corresponding indoor subsystem. Each low-level indoor controller corresponds to one of the indoor subsystems and generates indoor setpoints for the one or more indoor units of the corresponding indoor subsystem using the indoor subsystem energy target for the corresponding indoor subsystem and operates the one or more indoor units of the corresponding indoor subsystem using the indoor setpoints.

    Photovoltaic energy system with stationary energy storage control and power factor correction

    公开(公告)号:US10797511B2

    公开(公告)日:2020-10-06

    申请号:US16147356

    申请日:2018-09-28

    Abstract: An energy storage system includes a photovoltaic energy field, a stationary energy storage device, an energy converter, and a controller. The photovoltaic energy field converts solar energy into electrical energy and charges the stationary energy storage device with the electrical energy. The energy converter converts the electrical energy stored in the stationary energy storage device into AC power at a discharge rate and supplies a campus with the AC power at the discharge rate. The controller predicts a required load of the campus and an electrical generation of the photovoltaic energy field across a time horizon and optimizes a cost function subject to a set of constraints to determine a discharge rate of the AC power to achieve a desired power factor. At least one of the set of constraints applied to the cost function ensures that the energy converter can convert the electrical energy stored in the stationary energy storage device into AC power having the determined power factor and discharge rate.

    FREQUENCY RESPONSE CONTROL SYSTEM WITH CLIPPING PARAMETER DETERMINATION

    公开(公告)号:US20190245368A1

    公开(公告)日:2019-08-08

    申请号:US15887575

    申请日:2018-02-02

    CPC classification number: H02J3/32 H02J3/12 H02J2003/007

    Abstract: A frequency response optimization system includes a battery, a power inverter, and a frequency response controller. The battery is configured to store and discharge electric power. The power inverter is configured to control an amount of the electric power stored or discharged from the battery. The frequency response controller includes a high level controller configured to determine values of clipping parameters and a low level controller configured to use the values of the clipping parameters to modify battery power setpoints. The power inverter is configured to use the modified battery power setpoints to control the amount of the electric power stored or discharged from the battery.

    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.

Patent Agency Ranking