F24F11/46

PEAK DEMAND RESPONSE OPERATION WITH IMPROVED SENSIBLE CAPACITY
20230086486 · 2023-03-23 ·

An HVAC system includes a variable-speed compressor which compresses refrigerant flowing through the HVAC system, a blower which provides a flow of air through the HVAC system at a controllable flow rate, and a controller communicatively coupled to the variable-speed compressor and the blower. The controller receives a demand request which includes a command to reduce power consumption by the HVAC system. In response to receiving the demand request, a speed of the variable-speed compressor is decreased and the controllable flow rate of the flow of air provided by the blower is adjusted.

PEAK DEMAND RESPONSE OPERATION WITH IMPROVED SENSIBLE CAPACITY
20230086486 · 2023-03-23 ·

An HVAC system includes a variable-speed compressor which compresses refrigerant flowing through the HVAC system, a blower which provides a flow of air through the HVAC system at a controllable flow rate, and a controller communicatively coupled to the variable-speed compressor and the blower. The controller receives a demand request which includes a command to reduce power consumption by the HVAC system. In response to receiving the demand request, a speed of the variable-speed compressor is decreased and the controllable flow rate of the flow of air provided by the blower is adjusted.

ELECTRONIC APPARATUS AND OPERATION METHOD FOR PREDICTING HVAC ENERGY CONSUMPTION USING MACHINE LEARNING
20230087048 · 2023-03-23 ·

An operation method for reducing energy consumption and an electronic apparatus thereof are provided. The operation method includes obtaining, by the electronic apparatus, weather forecast information, inputting, by the electronic apparatus, the weather forecast information to an artificial intelligence model for predicting an amount of power to be consumed by a first air conditioner, and displaying, by the electronic apparatus, the predicted power consumption amount of the first air conditioner output from the artificial intelligence model, wherein the artificial intelligence model is trained to obtain correlation information between a weather condition and a power consumption amount of an air conditioner, based on a weather history and operations of a plurality of air conditioners related to the weather history, and predict the amount of power to be consumed by the first air conditioner based on the correlation information and the weather forecast information.

ELECTRONIC APPARATUS AND OPERATION METHOD FOR PREDICTING HVAC ENERGY CONSUMPTION USING MACHINE LEARNING
20230087048 · 2023-03-23 ·

An operation method for reducing energy consumption and an electronic apparatus thereof are provided. The operation method includes obtaining, by the electronic apparatus, weather forecast information, inputting, by the electronic apparatus, the weather forecast information to an artificial intelligence model for predicting an amount of power to be consumed by a first air conditioner, and displaying, by the electronic apparatus, the predicted power consumption amount of the first air conditioner output from the artificial intelligence model, wherein the artificial intelligence model is trained to obtain correlation information between a weather condition and a power consumption amount of an air conditioner, based on a weather history and operations of a plurality of air conditioners related to the weather history, and predict the amount of power to be consumed by the first air conditioner based on the correlation information and the weather forecast information.

AIR CONDITIONER
20230089866 · 2023-03-23 ·

An air conditioner includes an outdoor unit, a plurality of indoor units, a plurality of detecting units, an operating device that receives an instruction on use of all prediction results obtained for all of a plurality of spaces, a determining circuitry, and a deciding circuitry. The detecting circuitries each detect a state relating to temperature of an associated space. A prediction result obtained for each of the spaces is a predicted temperature of the space associated with one of the detecting circuitries a predetermined time after a detection result is obtained by the one of the detecting circuitries, which is predicted on the basis of the detection result. When all the prediction results are determined not to be the same, the deciding circuitry determines how air conditioning is to be performed on the basis of part or the whole of all the prediction results in accordance with an instruction received by the operating device.

AIR CONDITIONER
20230089866 · 2023-03-23 ·

An air conditioner includes an outdoor unit, a plurality of indoor units, a plurality of detecting units, an operating device that receives an instruction on use of all prediction results obtained for all of a plurality of spaces, a determining circuitry, and a deciding circuitry. The detecting circuitries each detect a state relating to temperature of an associated space. A prediction result obtained for each of the spaces is a predicted temperature of the space associated with one of the detecting circuitries a predetermined time after a detection result is obtained by the one of the detecting circuitries, which is predicted on the basis of the detection result. When all the prediction results are determined not to be the same, the deciding circuitry determines how air conditioning is to be performed on the basis of part or the whole of all the prediction results in accordance with an instruction received by the operating device.

OCCUPANCY TRACKING USING USER DEVICE DETECTION

An occupancy tracking device configured to identify devices connected to an access point over a predetermined time period. The device is further configured to populate entries in a device log for the identified devices. The device is further configured to determine a predicted occupancy level and to control a Heating, Ventilation, and Air Conditioning (HVAC) system based on the predicted occupancy level.

OCCUPANCY TRACKING USING USER DEVICE DETECTION

An occupancy tracking device configured to identify devices connected to an access point over a predetermined time period. The device is further configured to populate entries in a device log for the identified devices. The device is further configured to determine a predicted occupancy level and to control a Heating, Ventilation, and Air Conditioning (HVAC) system based on the predicted occupancy level.

BUILDING HVAC SYSTEM WITH MULTI-LEVEL MODEL PREDICTIVE CONTROL

A heating, ventilation, or air conditioning (HVAC) system for a building includes HVAC equipment configured to provide heating or cooling to one or more building spaces and one or more controllers. The one or more controllers include one or more processing circuits configured to generate energy targets for the one or more building spaces using a thermal capacitance of the one or more building spaces to which the heating or cooling is provided by the HVAC equipment, generate setpoints for the HVAC equipment using the energy targets for the one or more building spaces to which the heating or cooling is provided by the HVAC equipment, and operate the HVAC equipment using the setpoints to provide the heating or cooling to the one or more building spaces.

Building ventilation apparatus and method

A ventilation system with: (i) a volumetric enclosure having an inlet and an outlet and for coupling to an interior of a building habitable by human occupants; (ii) a fan located within the volumetric enclosure and for drawing air exterior to the building and supplying the air to the interior of the building; (iii) a programmable control apparatus for enabling and disabling the fan in response to a plurality of parameters, at least some of the parameters relating to quality of air to me moved in response to the fan; and (iv) circuitry coupled between the inlet and the outlet for measuring a signal representative of a volume of air passing through the volumetric enclosure over a period of time.