19760results about "Control inputs involving air properties" patented technology

A system and method manage delivery of energy from a distribution network to one or more sites. Each site has at least one device coupled to the distribution network. The at least one device controllably consumes energy. The system includes a node and a control system. The node is coupled to the at least one device for sensing and controlling energy delivered to the device. A control system is coupled to the node and distribution network for delivering to the node at least one characteristic of the distribution network. The node for controls the supply of energy to the device as a function of the at least one characteristic.

A system and method for calibrating a set-point for climate control includes a sensor network having a plurality of sensors configured to report a climate condition. A database is configured to receive reports from the sensors and generate one or more profiles reflecting at least one of historic climate control information and occupant preferences. A controller is configured to receive information from the profiles to generate a set-point based upon an optimization program. The optimization program is implemented to balance competing goals to generate the set-point for controlling climate control equipment in accordance with the set-point.

A method for controlling energy consumption within a building includes providing at least one environment sensing device and at least one energy consumption sensing device associated with the building. Current data is collected from the environment sensing device and the energy consumption sensing device along with associated time-of-day data. A value of a future energy consumption parameter is predicted based upon the collected current data, the associated time-of-day data, and historic data collected from the environment sensing device and the energy consumption sensing device. A profile of future costs per unit of energy consumption as a function of time is determined. Energy consumption is controlled dependent upon the predicted future energy consumption parameter value and the determined profile of energy consumption costs.

A system for remotely controlling an ambient temperature in a building is provided. The system comprises a thermostat, a computing device, and a thin client. The thermostat has one or more settings and is equipped for wireless communication. The computing device is equipped for wireless communication with the thermostat. The thin client device is remotely located from the thermostat and operatively coupled to the computing device through a wide area network. The thin client device permits manipulation of the one or more settings which are wirelessly communicated from the computing device to the thermostat such that the ambient temperature of the building is remotely controlled.

Thermostatic HVAC and other energy management controls that are connected to a computer network. For instance, remotely managed load switches incorporating thermostatic controllers inform an energy management system, to provide enhanced efficiency, and to verify demand response with plug-in air conditioners and heaters. At least one load control device at a first location comprises a temperature sensor and a microprocessor. The load control device is configured to connect or disconnect electrical power to the an attached air conditioner or heater, and the microprocessor is configured to communicate over a network. In addition, the load control device is physically separate from an air conditioner or heater but located inside the space conditioned by the air conditioner or heater.

An thermostat 10 includes an improved user interface, including automatic scheduling, remote control, system failure warning messages, and Energy Star compliance messages. Diagnostics can be provided without additional communication links to the thermostat. A sub-base accepts multiple thermostats and uses color coded terminals to ease installation. Glow-in-the-dark features reduce power needs. In one embodiment, thermostats are coupled to AC power sources and communicate using wireless communications to control an HVAC system. A dampered system can be effected through a thermostat that communicates directly with zoned dampers.

Remote control of energy consumption is realized using a readily installable, flexible approach. According to an example embodiment of the present invention, a remote source communicates with a wireless controller for executing energy usage control. The remote source sends signals to the wireless controller via a gateway located near or, in one implementation, forming part of the wireless controller. In response to the signals, the wireless controller sets control settings for operating one or more of a variety of equipment types, such as a furnace, air conditioner, water heater or heat pump. With this approach, wired connections from the gateway to energy-consuming equipment do not necessarily need to be made in order to effect remote energy-consumption control. For instance, when used in connection with a controller wired to the energy-consuming equipment, the gateway need only communicate wirelessly with the controller and does not necessarily need to be coupled to the energy-consuming equipment. In addition, access to the energy-consuming equipment for establishing remote energy control is not necessary; rather, the remote energy control can be effected by accessing user-friendly locations, such as those where thermostats and other controllers are typically located.

A home control system using galvanic skin responses and heart rate information and a method thereof. Whether a user is awake is judged using a galvanic skin response sensor, and the extent of stress of a user is determined using the user's heart rate, thereby extracting a user's emotional state and sleeping state. Furthermore, based on these, various systems in the home network of a user are controlled according to the user's emotional state and sleeping state. In addition, those control results are stored in a database so as to create the optimum control conditions.

A method for processing airflow distribution in a data center comprises monitoring airflow in a ventilation system including a plurality of fans in at least one server in the data center, and controlling cooling in the ventilation system as a function of the sensed airflow.

Systems and methods for modeling the behavior of an enclosure for use by a control system of an HVAC system are described. A model for the enclosure that describes the behavior of the enclosure for use by the control system is updated based on a weather forecast data. The weather forecast data can include predictions more than 24 hours in the future, and can include predictions such as temperature, humidity and/or dew point, solar output, precipitation. The model for the enclosure can also be updated based on additional information and data such as historical weather data such as temperature, humidity, wind, solar output and precipitation, occupancy data, such as predicted and/or detected occupancy data, calendar data, and data from the one or more weather condition sensors that sense current parameters such as temperature, humidity, wind, precipitation, and/or solar output. The model for the enclosure can be updated based also on an enclosure model stored in a database, and/or on enclosure information from a user. The model can be updated based on active testing of the enclosure which can be performed automatically or in response to user input. The testing can include heating and/or cooling the enclosure at times when the enclosure is not likely to be occupied.

An HVAC control system is described comprising: a server (32) having planned information, a man-machine interface (50) capable of communication with the server (32) to provide dynamic information about building occupancy based on a change in cold water in a mains riser. A central control unit (28) which can communicate with the server (32), and a room node (22, 24) for providing information about conditions within the room whereby, the information about room conditions is compared to planned information and/or dynamic information and adjustments made accordingly. The room node (22, 24) may comprise sensors (276, 278, 272, 274) which provide information about conditions in the room. Dynamic information can include changes to planned occupancy, the effect of solar heating and weather conditions. Changes to planned occupancy can be established through detecting location (internally or externally) or destination of a user; and calculating estimated time of arrival of a user.

A thermostat system with a thermostat control program is disclosed for controlling a Heating Ventilation and/or Air Conditioning (HVAC) system which incorporates a mechanism for detecting activity or occupancy in a room, area or conditioned space served by the HVAC system. The thermostat control program analyzes levels, counts or other aspects of activity detected in the conditioned space, with an operating sequence which may include pattern recognition techniques. The operating sequence of the thermostat control program may further depend upon time of day, and upon periods of time identified as being periods for special handling of occupancy, or the recognition of occupancy. These factors may then be utilized by the thermostat control program to influence determination of the temperature setpoint, or to select from alternative programming provided either by the user of the thermostat, or by factory programming, with purpose of balancing energy savings and comfort.

A hybrid manual/programmable thermostat for a furnace or air conditioner offers the simplicity of a manual thermostat while providing the convenience and versatility of a programmable one. Initially, the hybrid thermostat appears to function as an ordinary manual thermostat; however, it privately observes and learns a user's manual temperature setting habits and eventually programs itself accordingly. If users begin changing their preferred temperature settings due to seasonal changes or other reasons, the thermostat continues learning and will adapt to those changes as well. For ease of use, the thermostat does not require an onscreen menu as a user interface. In some embodiments, the thermostat can effectively program itself for temperature settings that are set to occur at particular times daily or just on weekends, yet the user is not required to enter the time of day or the day of the week.

Apparatus, systems, methods, and related computer program products for managing demand-response programs and events. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat acquires various information about the residence, such as a thermal retention characteristic of the residence, a capacity of an HVAC associated with the residence to cool or heat the residence, a likelihood of the residence being occupied, a forecasted weather, a real-time weather, and a real-time occupancy. Such information is used to manage the energy consumption of the structure during a demand-response event.