Patent classifications
F24F11/47
Model predictive control-based building climate controller incorporating humidity
Systems and methods are configured to control operation of an HVAC system providing climate control for a zone of a structure. In various embodiments, a constrained optimization problem is performed to set control commands for controlling operation of the HVAC system to achieve one or more objectives while providing a supply air flow at an air temperature and a humidity ratio for the zone at a future time. For instance, the optimization problem may include a cost function having constraints based on a desired temperature setpoint and a humidity ratio for the zone. A value is set for each control command based on the performance of the constrained optimization problem to achieve at least one of the objectives and as a result, the supply air flow at the air temperature and humidity ratio is provided by the HVAC system at the future time to the zone based on the values.
Model predictive control-based building climate controller incorporating humidity
Systems and methods are configured to control operation of an HVAC system providing climate control for a zone of a structure. In various embodiments, a constrained optimization problem is performed to set control commands for controlling operation of the HVAC system to achieve one or more objectives while providing a supply air flow at an air temperature and a humidity ratio for the zone at a future time. For instance, the optimization problem may include a cost function having constraints based on a desired temperature setpoint and a humidity ratio for the zone. A value is set for each control command based on the performance of the constrained optimization problem to achieve at least one of the objectives and as a result, the supply air flow at the air temperature and humidity ratio is provided by the HVAC system at the future time to the zone based on the values.
Automatic changeover mode in an HVAC controller with reversible deadband enforcement
An HVAC controller is configured to automatically change between a HEAT mode and a COOL mode in accordance with a sensed temperature in the building structure, a HEAT temperature set point and a COOL temperature set point. The user is allowed to adjust the HEAT temperature set point and the COOL temperature set point, with the HVAC controller automatically adjusting one of the set points in response to the user making a change to the other of the other of the set points that violates a minimum deadband. If the user readjusts the user-adjusted set point in a way that no longer violates the minimum deadband, the HVAC controller will adjust the other set point back towards its previous setting.
Automatic changeover mode in an HVAC controller with reversible deadband enforcement
An HVAC controller is configured to automatically change between a HEAT mode and a COOL mode in accordance with a sensed temperature in the building structure, a HEAT temperature set point and a COOL temperature set point. The user is allowed to adjust the HEAT temperature set point and the COOL temperature set point, with the HVAC controller automatically adjusting one of the set points in response to the user making a change to the other of the other of the set points that violates a minimum deadband. If the user readjusts the user-adjusted set point in a way that no longer violates the minimum deadband, the HVAC controller will adjust the other set point back towards its previous setting.
Smart energy scheduling of HVAC system during on-peak hours
Systems and techniques are described for monitoring energy use habits of consumers. In some implementations, a method includes obtaining temperature data from a monitored property. An energy model of the monitored property is generated based on the obtained temperature data. The current temperature data is obtained from the monitored property. The current temperature data is provided to the generated energy model to generate a duty-cycle for turning an HVAC system of the monitored property off an on during the on-peak hours. The HVAC system of the monitored property is instructed to cycle off and on during the on-peak hours based on the generated duty-cycle.
AIR CONDITIONING SYSTEM AND METHOD FOR CONTROLLING AIR CONDITIONING SYSTEM
An air conditioning system and a method for controlling an air conditioning system are provided. The air conditioning system may determine loads for each indoor unit of a plurality of indoor units considering capacities of the plurality of indoor units, a length of an indoor unit pipe connected from a pump to each indoor unit, and map the plurality of indoor units and a plurality of pumps based on the determined loads.
AIR CONDITIONING SYSTEM AND METHOD FOR CONTROLLING AIR CONDITIONING SYSTEM
An air conditioning system and a method for controlling an air conditioning system are provided. The air conditioning system may determine loads for each indoor unit of a plurality of indoor units considering capacities of the plurality of indoor units, a length of an indoor unit pipe connected from a pump to each indoor unit, and map the plurality of indoor units and a plurality of pumps based on the determined loads.
Climate control adaptive temperature setpoint adjustment systems and methods
The present disclosure presents techniques for improving operational efficiency of climate control systems. A climate control system may include climate control equipment, a sensor that measures temperature in a building, and a control system that controls operation of the equipment using a first temperature schedule, which associates each time step with a temperature setpoint, when the building is occupied. When not occupied, the control system determines an expected return time based on historical occupancy data associated with the building, determines the temperature setpoint associated with the expected return time, determines candidate schedules each expected to result in the inside air temperature meeting the temperature setpoint, determines efficiency metrics each associated with one of the candidates based on historical performance data resulting from previous operation of the climate control system, and controls operation of the equipment based on a second temperature schedule selected from the candidates based on associated efficiency metrics.
Climate control adaptive temperature setpoint adjustment systems and methods
The present disclosure presents techniques for improving operational efficiency of climate control systems. A climate control system may include climate control equipment, a sensor that measures temperature in a building, and a control system that controls operation of the equipment using a first temperature schedule, which associates each time step with a temperature setpoint, when the building is occupied. When not occupied, the control system determines an expected return time based on historical occupancy data associated with the building, determines the temperature setpoint associated with the expected return time, determines candidate schedules each expected to result in the inside air temperature meeting the temperature setpoint, determines efficiency metrics each associated with one of the candidates based on historical performance data resulting from previous operation of the climate control system, and controls operation of the equipment based on a second temperature schedule selected from the candidates based on associated efficiency metrics.
SMART THERMOSTAT WITH MODEL PREDICTIVE CONTROL
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.