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The Nest Thermostat is a smart thermostat developed by Google Nest and designed by Tony Fadell, Ben Filson, and Fred Bould. [1] It is an electronic, programmable, and self-learning Wi-Fi -enabled thermostat that optimizes heating and cooling of homes and businesses to conserve energy.
A thermostat exerts control by switching heating or cooling devices on or off, or by regulating the flow of a heat transfer fluid as needed, to maintain the correct temperature. A thermostat can often be the main control unit for a heating or cooling system, in applications ranging from ambient air control to automotive coolant control.
This regulation is now carried out by an internal thermostat. Conveniently, both the sensing element of the thermostat and its control valve may be placed at the same location, allowing the use of a simple self-contained non-powered thermostat as the primary device for the precise control of engine temperature. [2]
A thermostatic radiator valve on position 2 (15–17 °C) Installed thermostatic radiator valve with the adjustment wheel removed A thermostatic radiator valve (TRV) is a self-regulating valve fitted to hot water heating system radiator, to control the temperature of a room by changing the flow of hot water to the radiator.
Unfortunately, many people who own programmable thermostats do not know how to use the thermostat or are not using all of the features that are offered. One study conducted a number of interviews, surveys, and observations to determine that the vast majority of programmable thermostat owners are not using the thermostats for their intended purpose.
Honeywell electronic thermostat in a store. Heating and cooling losses from a building (or any other container) become greater as the difference in temperature increases. A programmable thermostat allows reduction of these losses by allowing the temperature difference to be reduced at times when the reduced amount of heating or cooling would not be objectionable.
The Nest Learning Thermostat is an electronic, programmable, and self-learning Wi-Fi-enabled thermostat that optimizes heating and cooling of homes and businesses to conserve energy. [43] It is based on a machine-learning algorithm: for the first weeks users have to regulate the thermostat in order to provide the reference data set.
Updates to the standard are planned to occur biannually. [28]Version 1.0 of the specification was published on 4 October 2022. [29] It introduced support for lighting products (such as mains power plugs, electric lights and switches), door locks, thermostats and heating, ventilation, and air conditioning controllers, blinds and shades, home security sensors (such as door, window and motion ...