A system includes a modulating furnace and control circuitry. The control circuitry is configured to receive a call for heating associated with a quick heat cycle. In response to the call for heating, the control circuitry is also configured to operate the modulating furnace in a quick heat operating mode for a threshold time period. Subsequent to the threshold time period, the control circuitry is also configured to operate the modulating furnace in a modulating heat operating mode.

Climate control systems and related methods and systems therefore a disclosed. In an embodiment, the climate control system includes a heat exchanger configured to discharge conditioned air to an indoor space. In addition, the climate control system includes a display and a controller coupled to the display. The controller is to generate an operation selection option on the display. The operation selection option includes a plurality of selections for operating of the climate control system based on operational efficiency or occupant comfort within the indoor space. The controller is to adjust a temperature of the heat exchanger relative to a user selection from the plurality of selections.

A system and method include a computer processor, computer memory associated with the computer processor and a network interface. A plurality of temperature sensors are each associated with a respective electric heating element. Optionally, in one form, the plurality of sensors are associated with the computer processor wherein the temperature sensors send respective signals to the computer processor via the network interface. The computer processor is programmed to provide varying amounts of power to one or more of the electric heating elements based on signals sent to the computer processor.

The systems and methods described herein provide for a novel deep learning approach to estimating and predicting faulty mechanical system conditions before they occur without using any measurements from the system itself. Environmental data, such as temperature, humidity, occupancy, volatile organic compounds (VOC), equivalent carbon dioxide (eCO2) and particulate matter may be used in the estimation and prediction of faults, failures, and other inefficiencies within the HVAC system.

Internal control devices (41A to 41D) included respectively in air conditioners (10A to 10D) in an air conditioning system (1) are communicably connected one by one correspondingly to external control devices (42A to 42D). Each of the external control devices (42A to 42D) is configured to execute command generating operation of generating an operation command to a corresponding one of the air conditioners (10A to 10D). The external control devices (42A to 42D) constitute an external control system (50). In the external control system (50), one of the external control devices (42A) functions as a master control device configured to execute the command generating operation whereas remaining ones of the external control devices (42A to 42D) other than the external control device (42A) functioning as the master control device function as sub control devices configured not to execute the command generating operation.

Method, apparatus and computer program product for generating a supply stream temperature set-point for a particular distribution channel element associated with a heating, ventilation, and air-conditioning (HVAC) system. In one example, a method includes identifying a hierarchical position of the particular distribution channel element; identifying potential set point configuration actions associated with the particular distribution channel element, wherein each potential set point configuration action is expected to cause transition of the particular distribution channel element from a current state to a future state; determining an overall cost measure for each potential set point configuration action based at least in part on the hierarchical position of the particular distribution channel element, and generating the supply stream temperature set-point based on each overall cost measure associated with a potential set point configuration action.

A method is provided for controlling an HVAC system. The method includes receiving zone airflow target values for zones of a conditioned space. The method includes accessing a duct model including a first term that describes a flow factor for a zone damper as a nonlinear function of damper position, and a second term that describes zone airflow as a function of the flow factor and a branch pressure across zone-specific branches of an air circulation path. The method includes applying the zone airflow target values to the duct model to determine a damper position set, and actuating zone dampers to respective damper positions of the damper position set. The method may also include determining a value of total airflow to achieve the zone airflow target values with a total pressure target, and causing a fan to provide conditioned air with the value of the total airflow.

An air conditioner system according to an aspect of the present disclosure is operated in an operation mode corresponding to whether a user enters building or whether the user is in a predetermined space, and thus, can be operated in an optimal operation mode by combining whether the user enters the building and whether the user is in the predetermined space.

Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system obtains a history of emissions rates. Based on the history of emissions rates, a future time period of predicted high emissions is identified. An emission demand response event participation level of an account mapped to a thermostat is determined for the future time period of predicted high emissions. The emissions demand response event participation level may be one of a plurality of emissions demand response event participation levels. based on the emissions demand response event participation level of the account, an emissions demand response event is generated during the future time period of predicted high emissions. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

A camera takes an image of a user. A room environment information sensor detects room environment information about an environment in a room where the user is present. An estimation unit estimates a concentration degree of the user based on the image of the user taken by the camera and the room environment information sensed by the room environment information sensor.