BUILDING CONTROL SYSTEM WITH AUTOMATIC CONTROL PROBLEM FORMULATION USING BUILDING INFORMATION MODEL

    公开(公告)号:US20210149353A1

    公开(公告)日:2021-05-20

    申请号:US16688864

    申请日:2019-11-19

    Abstract: A controller for a building including one or more processors and one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include parsing a computer-aided design (CAD) file or a building information model (BIM) file for the building to identify building equipment that operates to affect a variable state or condition of a zone of the building. The operations include generating one or more zone models describing one or more control relationships between the building equipment and the variable state or condition of the zone based on the CAD file or the BIM file. The operations include using the one or more zone models to perform a model-based operation for the building equipment.

    BUILDING HVAC SYSTEM WITH MODULAR CASCADED MODEL

    公开(公告)号:US20210041127A1

    公开(公告)日:2021-02-11

    申请号:US16906562

    申请日:2020-06-19

    Abstract: A controller for HVAC equipment stores a cascaded model that includes a disturbance model configured to predict a heat disturbance affecting the building zone as a function of one or more exogenous parameters and a physics model configured to predict a temperature of the building zone as a function of the heat disturbance and an amount of heating or cooling provided to the building zone by HVAC equipment. The processing circuit is configured to execute a combined training procedure to determine parameters of the disturbance model and parameters of the physics model, generate control signals for the HVAC equipment using the disturbance model to predict the heat disturbance and applying the heat disturbance as an input to the physics model, and operate the HVAC equipment to provide the heating or cooling to the building zone in accordance with the control signals.

    SYSTEMS AND METHODS FOR CONTROLLING AND PREDICTING HEAT LOAD DISTURBANCES

    公开(公告)号:US20210190355A1

    公开(公告)日:2021-06-24

    申请号:US16719469

    申请日:2019-12-18

    Abstract: An environmental control system for a building space including heating, ventilation, or air conditioning (HVAC) equipment that operates to control a temperature of the building space. The system includes lighting equipment that operates to control a luminosity and affect a heat load disturbance for the building space. The system includes an environmental controller including a processing circuit configured to predict the heat load disturbance based on potential operating states of the lighting equipment over a time period. The heat load disturbance affects the temperature of the building space. The processing circuit is configured to generate control decisions for the HVAC and lighting equipment based on the predicted heat load disturbance and subject to constraints on the temperature and luminosity of the building space. The processing circuit is configured to operate the HVAC and lighting equipment based on the control decisions.

    MODEL PREDICTIVE MAINTENANCE SYSTEM FOR PERFORMING MAINTENANCE AS SOON AS ECONOMICALLY VIABLE

    公开(公告)号:US20200096985A1

    公开(公告)日:2020-03-26

    申请号:US16697099

    申请日:2019-11-26

    Abstract: A model predictive maintenance system for building equipment that performs operations including obtaining an objective function defining a cost of operating and performing maintenance on the equipment as a function of operating and maintenance decisions for time steps within a time period of a life cycle horizon and including performing a first computation of the objective function under a first scenario where maintenance is performed on the equipment during the period, a result of the first computation indicating a first cost. The operations include performing a second computation under a second scenario in which maintenance is not performed during the period, a result indicating a second cost. The operations include initiating an automated action to perform maintenance on the equipment in accordance with decisions defined by the first scenario if the first cost is less than or equal to the second cost.

    MODEL PREDICTIVE MAINTENANCE SYSTEM WITH BUDGETARY CONSTRAINTS

    公开(公告)号:US20190325368A1

    公开(公告)日:2019-10-24

    申请号:US16457314

    申请日:2019-06-28

    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.

    BUILDING ENERGY STORAGE SYSTEM WITH PLANNING TOOL

    公开(公告)号:US20180254632A1

    公开(公告)日:2018-09-06

    申请号:US15474511

    申请日:2017-03-30

    Abstract: An energy storage system for a building includes a battery asset configured to store electricity and discharge the stored electricity for use in satisfying a building electric load. The system includes a planning tool configured to identify one or more selected functionalities of the energy storage system and generate a cost function defining a cost of operating the energy storage system over an optimization period. The cost function includes a term for each of the selected functionalities. The planning tool is configured to generate optimization constraints based on the selected functionalities, attributes of the battery asset, and the electric energy load to be satisfied. The planning tool is configured to optimize the cost function to determine optimal power setpoints for the battery asset at each of a plurality of time steps of the optimization period.

Patent Agency Ranking