An HVAC system includes a controller communicatively coupled to a subcool sensor, an outdoor temperature sensor, a compressor, and a blower of the HVAC system. For a first period of time, the controller periodically determines subcool values. For each determined subcool value, a corresponding compressor speed, outdoor temperature, and blower speed are determined. A baseline database is generated with baseline values associated with normal operation of the HVAC system. Following the first period of time, subcool values are determined based on the subcool signal. For each subcool value, a corresponding compressor speed, outdoor temperature, and blower speed are determined. The controller determines whether each subcool value satisfies a criteria based on the baseline database. If the criteria are not satisfied for at least a threshold time, the system is determined to be operating under a fault condition, and a corresponding alert is transmitted.

A multifunction adaptive whole house fan system can include a whole house fan to pull large volume of air through a building structure. The whole house fan can pull air from a motorized window or damper into the building structure and expel air through an attic. The system can monitor the environment to operate the whole house fan when desired conditions are present in coordination with other systems of the building structure to reduce overall energy consumption.

A thermostat is disclosed. The thermostat can include one or more temperature sensors configured to measure a plurality of temperature values within a building. The thermostat can include a processing circuit coupled to the one or more temperature sensors. The processing circuit can receive the plurality of measured temperature values from the one or more temperature sensors. The processing circuit can determine, based on a time invariant Non-Linear Least Squares (NLSQ) technique and the plurality of measured temperature values, a compensated temperature value within the building, wherein the compensated temperature value accounts for an unknown temperature state of the thermostat when the thermostat is turned on.

Methods, devices, and systems for space conditioning based on weather information are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive forecasted weather information, determine, based on the forecasted weather information, future weather conditions, determine based on the future weather conditions and historical setpoint data, whether conditioning of a space is expected, and generate an alert in response to conditioning of the space being expected.

A multi-area artificial fog pipe network control method and system based on a YOLOv5 algorithm are provided. The method includes: obtaining thermal sensation data of each target person based on facial skin temperature; calculating group thermal sensation data of each subarea and total group thermal sensation data of an artificial fog pipe network area; determining a total flow of fog-making water introduced into the artificial fog pipe network according to target number of people and total group thermal sensation data; controlling opening gears of atomization nozzles on the artificial fog pipe networks in subareas according to a number of the target person in each subarea, the group thermal sensation data and a micro-action type of each target person. The method can realize purposes of saving energy, reducing emission, accurately controlling the flow of the fog-making water, and the people-oriented aim and outdoor group heat comfort maximization.

A method includes operating equipment to affect a variable state or condition of a space and training weights of a neural network by outputting control dispatches from the neural network based on simulated inputs, simulating costs associated with operating the equipment in accordance with control dispatches, and adjusting the weights to reduce the costs. The method also includes generating a control dispatch for the equipment by applying an actual measurement relating to the space as an input to the neural network, and controlling the equipment in accordance with the control dispatch.

A climate control apparatus is disclosed. The climate control apparatus of the present invention switches between types of heat depending on the ambient temperature of an outdoor space. The climate control apparatus includes an exterior housing, an electric heating coil, a steam heating coil, a temperature sensor, a controller, and a heating switch to heat an indoor space more efficiently than existing climate control apparatuses.

A thermostat is disclosed. The thermostat can include one or more temperature sensors configured to measure one or more temperature values. The thermostat can include a processing circuit. The processing circuit can receive the one or more temperature values from the one or more temperature sensors. The processing circuit can receive one or more central processing unit (CPU) usage values, wherein the one or more CPU usage values indicate computing usage of the processing circuit. The processing circuit can determine, based on an empirical model comprising one or more gain values and one or more filters and based on one or more signals, a temperature of the building. The one or more signals comprise the one or more temperature values and the one or more CPU usage values. The empirical model accounts for dynamics of heat generated by the processing circuit and airflow acting on the thermostat.

Disclosed are methods for at least approximating any one or any combination of system targets of a) reducing the average energy expenditure for keeping at least one primary compartment of a building within a desired temperature range by means of active

e air conditioning, or b) reducing temperature variations during a typical 24-hour cycle within said at least one primary compartment of said building, or c) reducing one or both of the average temperature or the peak temperature of said at least one primary compartment of said building.

The invention concerns predominantly enclosed spaces, typically buildings, which are at least exposed to directionally and temporally varying levels of solar electromagnetic radiation as well as temporally varying levels of ambient air temperature and ambient air flow velocity and direction. Such a building comprising at least one primary compartment and at least one secondary compartment, and wherein said primary compartment predominantly serves to achieve the primary purpose of the building.

The disclosed methods are furthermore at least in part based on at least one electronic controller, which is able to one or both of a) controlling means to modulate the amount of passive air flow to and from said at least one secondary compartment, and b) controlling means to modulate the amount of actively driven air flow to and from said at least one secondary compartment, and said electronic controller furthermore comprising at least one, at least partially descriptive, analytical and/or, numerical, and/or reduced order model to at least approximately compute, i.e. predict, the thermal behavior of said building, and said controller using said at least partially descriptive model to derive control signals suitable to at least approximate said at least one system target. In some embodiments the disclosed methods are at least partially incorporated in a home automation system, including optionally internet connectivity.

In some embodiments the disclosed methods are at least partially capable of increasing the typical lifetime of some components of buildings and thus reducing resources associated with maintaining at least some buildings functional.

An HVAC system includes a suction-side sensor, a liquid-side sensor, an outdoor temperature sensor, and a controller. The controller determines that initial criteria are satisfied for initiating validation of the suction-side sensor and the liquid-side sensor. After determining that the initial criteria are satisfied, a suction-side property value, liquid-side property value, and outdoor temperature value are received. The controller determines whether a first validation criteria and a second validation criteria are satisfied. If both the first validation criteria and the second validation criteria are satisfied, the suction-side sensor, the liquid-side sensor, and the outdoor temperature sensor are determined to be functioning properly. Otherwise, the controller determines which one or more of the sensors are malfunctioning.