Abstract:
Embodiments of the invention describe thermostats that are configured to precondition an enclosure and methods for performing the same. According to one embodiment, a method of preconditioning an enclosure includes providing a thermostat and computing a set of preconditioning criteria information (PCI) with said thermostat. The computed PCI is typically representative of time and ambient temperature conditions for which preconditioning should be performed. The PCI may be stored in memory and used to compare against a current time and current ambient temperature condition of the enclosure to determine whether to enter the thermostat into a preconditioning state. If a determination is made that the PCI criteria are satisfied, the thermostat may be entered into the preconditioning state to heat or cool the enclosure. One or more of these processes may be performed while a processor of the thermostat is in a relatively high power mode or relatively low power mode.
Abstract:
Systems and methods are described for controlling fan-only cooling. A first phase of a first cooling cycle may be initiated in an enclosure using an air conditioning system having a compressor and a fan that passes air over an evaporator coil. The first phase may include activation of the compressor and activation of the fan. A relative humidity may be measured within the enclosure during the first phase of the first cooling cycle. Subsequent to the first phase and in response to the relative humidity being determined to be below a threshold relative humidity, a second phase of the first cooling cycle may be initiated during which the fan is activated but the compressor is not activated.
Abstract:
A thermostat includes a processing system configured to control an HVAC system. The thermostat may also include a plurality of HVAC connectors configured to receive corresponding HVAC control wires, and a connection sensing module configured to determine the identities of HVAC connectors into which corresponding wires have been inserted. The processing system may be further configured to identify, based on the subset of HVAC connectors, whether (i) only a single possible HVAC system configuration is indicated thereby, or (ii) multiple possible HVAC system configurations are indicated thereby, resolve a particular one of the multiple possible HVAC system configurations that is applicable, and operate the HVAC system according to the HVAC system configuration.
Abstract:
A thermostat may include a memory and a processing system. The processing system may operate by determining a set of wake-up conditions for the processor to enter into a second operating state from a first operating state, the set of wake-up conditions including at least one threshold value associated with at least one environmental and/or time-of-day condition; causing the set of wake-up conditions to be stored in a memory; operating in a first mode in which the processor is in the first operating state during a time interval subsequent to causing the set of wake-up conditions to be stored in the memory; determining, while the processor is in the first operating state, whether at least one of the set of wake-up conditions has been met; and then operating in a second mode in which the processor is in the second operating state.
Abstract:
Apparatus, systems, methods, and related computer program products for carrying out a demand response (DR) event via an intelligent, network-connected thermostat associated with a structure. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat is operable to control an HVAC system. Control during a DR event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function comprising a combination of a first factor representative of a total energy consumption during the DR event period, a second factor representative of a metric of occupant discomfort, and a third factor representative of deviations of a rate of energy consumption over the DR event period.
Abstract:
Various arrangements for installing or configuring an electronic device are presented. The device may determine which wire connectors of a set of one or more wire connectors have a wire attached. A user inquiry may be output based on the electronic device identifying the wire connector with which the wire has been connected. The electronic device may be operated based on the response to the user inquiry and the electronic device identifying the wire connector with which the wire has been connected.
Abstract:
Systems and methods are provided for efficiently controlling energy-consuming systems, such as heating, ventilation, or air conditioning (HVAC) systems. For example, an electronic device used to control an HVAC system may encourage a user to select energy-efficient temperature setpoints. Based on the selected temperature setpoints, the electronic device may generate or modify a schedule of temperature setpoints to control the HVAC system.
Abstract:
The current application is directed to intelligent controllers that continuously, periodically, or intermittently calculate and display the time remaining until a control task is projected to be completed by the intelligent controller. In general, the intelligent controller employs multiple different models for the time behavior of one or more parameters or characteristics within a region or volume affected by one or more devices, systems, or other entities controlled by the intelligent controller. The intelligent controller collects data, over time, from which the models are constructed and uses the models to predict the time remaining until one or more characteristics or parameters of the region or volume reaches one or more specified values as a result of intelligent controller control of one or more devices, systems, or other entities.
Abstract:
HVAC schedules may be programmed for a thermostat using a combination of pre-existing schedules or templates and automated schedule learning. For example, a pre-existing schedule may be initiated on the thermostat and the automated schedule learning may be used to update the pre-existing schedule based on users' interactions with the thermostat. The preexisting HVAC schedules may be stored on a device or received from a social networking service or another online service that includes shared HVAC schedules.
Abstract:
The current application is directed to intelligent controllers that use sensor output and electronically stored information, including one or more of electronically stored rules, parameters, and instructions, to determine whether or not one or more types of entities are present within an area, volume, or environment monitored by the intelligent controllers. The intelligent controllers select operational modes and modify control schedules with respect to the presence and absence of the one or more entities. The intelligent controllers employ feedback information to continuously adjust the electronically stored parameters and rules in order to minimize the number of incorrect inferences with respect to the presence or absence of the one or more entities and in order to maximize the efficiency by which various types of systems controlled by the intelligent controllers carry out selected operational modes.