Abstract: A method for testing a cooling component in a building HVAC system uses a state-based testing procedure. The method includes providing a control signal to the cooling component. The control signal instructs the cooling component to activate. The method includes monitoring feedback from a temperature sensor configured to measure temperature affected by the cooling component and evaluating a state transition condition by comparing the feedback from the temperature sensor to a threshold value. The state transition condition is satisfied if the feedback is less than the threshold value and not satisfied if the feedback is not less than the threshold value. The method includes transitioning into a pass state in response to the feedback from the temperature sensor satisfying the state transition condition and transitioning into a fail state in response to the feedback from the temperature sensor not satisfying the state transition condition.

Abstract: An adaptive capacity constraint management system receives a measured value affected by HVAC equipment at actual operating conditions and uses the measured value to determine an operating value for a variable that affects a capacity of the HVAC equipment at the actual operating condition. The system uses the operating value to calculate a gain factor for the variable relative to design conditions and uses the calculated gain factor to determine a capacity gain for the HVAC equipment relative to the design conditions. The system applies the capacity gain to a design capacity limit for the HVAC equipment to determine a new capacity limit for the HVAC equipment at the actual operating conditions. The system may use the new capacity limit as a constraint in an optimization routine that that selects one or more devices of the HVAC equipment to satisfy a load setpoint.

Abstract: Systems and methods for auto-commissioning and self-diagnostics of equipment in a building management system are provided. A self-testing module is implemented in a control unit of the building management system. The self-testing module exercises equipment of the building management system using a state-based testing procedure that differs from normal operation of the equipment and monitors feedback received from a sensor of the building management system in response to exercising the equipment. The self-testing module uses the feedback from the sensor to evaluate a state transition condition of the state-based testing procedure and to transition between states of the state-based testing procedure using a result of the evaluation.

Abstract: A method for detecting and responding to disturbances in a HVAC system using a noisy measurement signal and a signal filter is provided. The method includes detecting a deviation in the noisy measurement signal, resetting the filter in response to a detected deviation exceeding a noise threshold, filtering the noisy measurement signal using the signal filter to determine an estimated state value, and determining that a disturbance has occurred in response to the estimated state value crossing a disturbance threshold. In some embodiments, the method further includes performing one or more control actions in response to the detection of a disturbance.

Abstract: An adaptive capacity constraint management system receives a measured value affected by HVAC equipment at actual operating conditions and uses the measured value to determine an operating value for a variable that affects a capacity of the HVAC equipment at the actual operating condition. The system uses the operating value to calculate a gain factor for the variable relative to design conditions and uses the calculated gain factor to determine a capacity gain for the HVAC equipment relative to the design conditions. The system applies the capacity gain to a design capacity limit for the HVAC equipment to determine a new capacity limit for the HVAC equipment at the actual operating conditions. The system may use the new capacity limit as a constraint in an optimization routine that that selects one or more devices of the HVAC equipment to satisfy a load setpoint.

Abstract: A state-based control system for an air handling unit (AHU) includes a finite state machine configured to transition between a high cooling load state and a low cooling load state. In the high cooling load state, the system maintains the temperature of a supply airstream provided by the AHU at a fixed setpoint and controls the temperature of a building zone by modulating the speed of a supply air fan. In the low cooling load state, the system operates the supply air fan at a fixed speed and controls the zone temperature by modulating an amount of cooling applied to the supply airstream by one or more cooling stages. A feed-forward module manages disturbances caused by adding or shedding cooling stages by applying a feed-forward gain to the supply air fan setpoint.

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: Systems and methods for low level central plant optimization are provided. A controller for the central plant uses binary optimization to determine one or more feasible on/off configurations for equipment of the central plant that satisfy operating constraints and meet a thermal energy load setpoint. The controller determines optimum operating setpoints for each feasible on/off configuration and generates operating parameters including at least one of the feasible on/off configurations and the optimum operating setpoints. The operating parameters optimize an amount of energy consumed by the central plant equipment. The controller outputs the generated operating parameters via a communications interface for use in controlling the central plant equipment.

Abstract: Systems and methods for auto-commissioning and self-diagnostics of equipment in a building management system are provided. A self-testing module is implemented in a control unit of the building management system. The self-testing module exercises equipment of the building management system using a state-based testing procedure that differs from normal operation of the equipment and monitors feedback received from a sensor of the building management system in response to exercising the equipment. The self-testing module uses the feedback from the sensor to evaluate a state transition condition of the state-based testing procedure and to transition between states of the state-based testing procedure using a result of the evaluation.

Abstract: Systems and methods for controlling a central plant for a building are provided. The central plant has a plant load. An optimal combination of plant equipment for meeting the plant load is estimated. Estimating the optimal combination of plant equipment includes using binary optimization to determine at least two potential combinations of plant equipment. Estimating the optimal combination of plant equipment also includes using nonlinear optimization to determine a potential power consumption minimum for each of the at least two potential combinations. The central plant is controlled according to the estimated optimal combination of plant equipment.

Abstract: A computerized method for controlling a chiller plant for cooling a building is provided. The chiller plant has a chiller plant load. The method includes estimating an optimal combination of chiller plant equipment for meeting the chiller plant load. Estimating the optimal combination of chiller plant equipment includes using binary optimization to determine at least two potential combinations of chiller plant equipment. Estimating the optimal combination of chiller plant equipment also includes using nonlinear optimization to determine a potential power consumption minimum for each of the at least two potential combinations. The method also includes controlling the chiller plant according to the estimated optimal combination of chiller plant equipment.

Abstract: A method for detecting and responding to disturbances in a HVAC system using a noisy measurement signal and a signal filter is provided. The method includes detecting a deviation in the noisy measurement signal, resetting the filter in response to a detected deviation exceeding a noise threshold, filtering the noisy measurement signal using the signal filter to determine an estimated state value, and determining that a disturbance has occurred in response to the estimated state value crossing a disturbance threshold. In some embodiments, the method further includes performing one or more control actions in response to the detection of a disturbance.

Abstract: A computerized method for controlling a chiller plant for cooling a building is provided. The chiller plant has a chiller plant load. The method includes estimating an optimal combination of chiller plant equipment for meeting the chiller plant load. Estimating the optimal combination of chiller plant equipment includes using binary optimization to determine at least two potential combinations of chiller plant equipment. Estimating the optimal combination of chiller plant equipment also includes using nonlinear optimization to determine a potential power consumption minimum for each of the at least two potential combinations. The method also includes controlling the chiller plant according to the estimated optimal combination of chiller plant equipment.

Abstract: A device for use in a building automation system includes a first circuit configured to receive non-electrical energy from an environment in which the device is placed and convert the non-electrical energy to electrical energy. The electrical energy is used to power the first circuit. The first circuit configured to sense a parameter based on the non-electrical energy. A communications interface configured to be powered by the electrical energy and configured to communicate the sensed parameter to the building automation system.