3522 results about "Energy expenditure" patented technology

A nutrition and activity management system is disclosed that monitors energy expenditure of an individual through the use of a body-mounted sensing apparatus. The apparatus is particularly adapted for continuous wear. The system is also adaptable or applicable to measuring a number of other physiological parameters and reporting the same and derivations of such parameters. A weight management embodiment is directed to achieving an optimum or preselected energy balance between calories consumed and energy expended by the user. An adaptable computerized nutritional tracking system is utilized to obtain data regarding food consumed, Relevant and predictive feedback is provided to the user regarding the mutual effect of the user's energy expenditure, food consumption and other measured or derived or manually input physiological contextual parameters upon progress toward said goal.

Systems and methods for providing energy management utilize wireless wide-area network broadcast signals and a decentralized receiver architecture to allow customers to make informed choices with regard to energy consumption and load shedding for particular appliances. A receiver assembly embedded within an appliance receives a broadcast signal, e.g., an FM subcarrier signal, including tariff data and other electrical grid data. A processor coupled with the receiver controls the appliance in accordance with the received data and in accordance with user-defined preferences. In some embodiments, a transceiver assembly is embedded in one or more appliances in a household. Each transceiver is configured to receive broadcast signals regarding grid data, and to communicate with other appliances and / or a usage meter over a wireless personal area network. Meter data from one or more households may be aggregated and uplinked back to the energy provider or other entities.

A system and method are disclosed for performing energy usage management within a network. The system may include an energy management system, such as a thermostat device, that may be associated with an energy consuming entity, such as a residence. A server may be remotely located from the energy consuming entity and may perform one or more energy curtailment management operations within the network. The server may be in communication with the energy management system over the network. One or more software applications may be stored thereon for remotely controlling the energy management system in accordance with a particular energy curtailment management operation. Additionally, a database may be associated with the server for storing curtailment event information relating to the network. A signal may be transmitted by the server to the thermostat device to alter an offset temperature setting of the thermostat device thereby remotely controlling the operation of the thermostat device. The thermostat device may also include a networking software application for enabling the remote monitoring and controlling of the thermostat device.

A context-aware smart home energy management (CASHEM) system and method is disclosed. CASHEM dynamically schedules household energy use to reduce energy consumption by identifying contextual information within said household, selecting a comfort of service preference, wherein said comfort of service preference is based on different said contextual information, and extracting an appliance use schedule for maximum energy savings based on said contextual information in light of said comfort of service preferences, by executing a program instruction in a data processing apparatus. CASHEM correlates said contextual information with energy consumption levels to dynamically schedule said appliance based on an energy-saving condition and a user's comfort. Comfort of service preferences are gathered by CASHEM by monitoring occupant activity levels and use of said appliance. CASHEM can also recommend potential energy savings for a user to modify comfort of service preferences.

The present invention provides a system and method relating to the operation of plug-in hybrid electric vehicles powered both by electricity from rechargeable batteries and by consumable fuel powered means, such as an internal combustion engine or a fuel cell. More particularly, the system and method of the claimed invention enable optimization of the energy cost associated with the operation of such plug-in hybrid electric vehicles, especially when the cost of recharging batteries from external electric power sources may be less than the cost of recharging batteries from the onboard consumable fuel powered means. To this end, the invention enables maximization of the use of electricity from external electric power sources and minimization of the use of electricity produced by the plug-in hybrid electric vehicle's onboard consumable fuel powered means, when the cost of recharging batteries from external electric power sources is less than the cost of recharging batteries from the onboard consumable fuel powered means.

Methods and systems are disclosed for controlling energy consumption at a facility, or a group of facilities, using current and future energy prices, and seasonal and environmental information to control a load shedding scheme.

A method for adaptively load balancing user sessions to reduce energy consumption includes identifying a session type for each of a plurality of user sessions. A server group is defined, providing access to a subset of the user sessions having a common session type. A power management schedule is also defined for the server group. The method includes consolidating, onto at least one server in the server group, the subset of user sessions. In still another aspect, a method for reducing energy consumption by dynamically managing power modes for a plurality of servers, includes monitoring, via a power monitoring agent, a level of load on one of the servers. A power management console generates a power management schedule for a server, responsive to the monitored level of load. Responsive to the power management schedule, a power management controller dynamically controls a level of power for the server.

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.

Voltage and frequency scaling techniques that are based upon monitored data are provided. The techniques may be used to better manage the power and energy consumption of a processor in an embedded system, such as a cellular telephone, personal data assistant, smart device, or the like. The techniques may be used with processors that offer a performance monitoring capability. The performance monitor may monitor thread-level utilization at runtime. Instructions per cycle and memory references per cycle are example metrics that may be monitored by the performance monitor. The voltage and frequency scaling techniques may adjust the operating voltage and operating frequency of the processor based on the values of these two metrics. For example, the techniques may include accessing a voltage and frequency scheduler lookup table. The techniques may be employed with non-embedded systems, as well, embedded systems.

Systems and methods for managing power supplied over an electric power grid by an electric utility and / or other market participants to multiplicity of grid elements and devices for supply and / or load curtailment as supply, each of which having a Power Supply Value (PSV) associated with its energy consumption and / or reduction in consumption and / or supply, and wherein messaging is managed through a network by a Coordinator using IP messaging for communication with the grid elements and devices, with the energy management system (EMS), and with the utilities, market participants, and / or grid operators.

A method of monitoring energy consumption includes steps of establishing an energy budget for a future time period, receiving device information for a plurality of electrical devices and associating the device information with the energy budget, periodically measuring electrical usage from the plurality of electrical devices, projecting future energy consumption for the future time period based on the measured electrical usage, comparing the projected future energy consumption to the energy budget, and if the projected future energy consumption deviates from the energy budget, automatically generating an alert. The projected future energy consumption can take into account various factors such as energy available from non-grid sources; weather forecasts; battery storage; and historical data. A system employing the method can automatically control devices to bring predicted consumption within the budget.

Methods and apparatus for gathering and processing data sensed on an individual from portable heart monitors and accelerometers aligned along three orthogonal axes determine substantially equivalent oxygen consumption information during an individual's physical activities without requiring gas-flow or gas-analysis equipment. Such information promotes calculations of physiological energy expenditures, and analyses of the accelerometer data associated with a specific sensing location on an individual's body provide indication of the particular physical activity for selecting appropriate scaling factors and filtering requirements in analyzing the data to determine various parameters indicative of the individual's expenditure of physiological energy, and other health-oriented factors.

A nutrition and activity management system is disclosed that monitors energy expenditure of an individual through the use of a body-mounted sensing apparatus. The apparatus is particularly adapted for continuous wear. The system is also adaptable or applicable to measuring a number of other physiological parameters and reporting the same and derivations of such parameters. A weight management embodiment is directed to achieving an optimum or preselected energy balance between calories consumed and energy expended by the user. An adaptable computerized nutritional tracking system is utilized to obtain data regarding food consumed, Relevant and predictive feedback is provided to the user regarding the mutual effect of the user's energy expenditure, food consumption and other measured or derived or manually input physiological contextual parameters upon progress toward said goal.

A method for managing an energy consuming load in a group of energy consuming loads and a method for managing the group of energy consuming loads. The method includes generating sets of load state data from the loads, making enablement state decisions for one or more loads independently of the other loads using the sets of load state data, and implementing the enablement state decisions. An apparatus for managing an energy consuming load in a group of energy consuming loads, including a transmitter for transmitting a set of load state data generated from the load, a receiver for. receiving sets of load state data from other loads, a processor for processing the sets of load state data to make an enablement state decision for the load, and a controller for implementing the enablement state decision.

A “Smart Grid Pricer” enables automated balancing of the supply and demand of energy supply and consumption, such as the generation and consumption of electricity between electricity providers and electricity consumers. The Smart Grid Pricer automatically computes and delivers real-time energy pricing information to consumers on behalf of energy retailers (e.g., electricity utilities) to help drive the balance of demand with supply. In various embodiments, real-time pricing is determined by using various probabilistic models to estimate overall consumer demand as a function of factors such as energy price, time of day, region, weather, etc. to compute a price that will result in an energy demand that is closely balanced to the available supply. On the consumer side, various components of the Smart Grid Pricer automatically respond to such pricing information to optimize energy consumption in accordance with a variety of automated and / or user defined rules and preferences.

The present invention discloses a system for monitoring and estimating the consumption of energy resources in real-time. The system includes an interactive user module, a measuring unit and a wireless network. The measuring unit is interfaced to a utility meter. Optionally, the measuring unit can also function as a stand alone device. The measuring unit is further connected to the interactive user module via the wireless network. The system monitors energy resource consumption such as electricity, gas or water consumption in real-time, generates and displays graphs of energy resource consumption over user selected time periods and enables communication with at least one utility company. The system increases the users' awareness of their energy consumption and aids users in dynamic or deregulated pricing environments to shed load when the energy resource is most expensive. With knowledge of their energy use, the users can take proactive steps to control their energy consumption and save money. A method of estimating the energy resource consumption over a period of time is also provided.

An electric power meter includes an embedded decomposition module that is configured to decompose a power meter signal into constituent loads to segregate and identify energy consumption associated with each individual energy consumption device within a plurality of energy consumption devices coupled to the power meter.

Various embodiments of methods and systems described herein relate to tracking and / or managing any combination of energy consumption, GHG emissions, carbon credits, and / or costs associated with one or more pieces of equipment, one or more sites, or an entire enterprise.

An energy management system uses an expert engine and a numerical solver to determine an optimal manner of using and controlling the various energy consumption, producing and storage equipment in a plant / communities in order to for example reduce energy costs within the plant, and is especially applicable to plants that require or that are capable of using and / or producing different types of energy at different times. The energy management system operates the various energy manufacturing and energy usage components of the plant to minimize the cost of energy over time, or at various different times, while still meeting certain constraints or requirements within the operational system, such as producing a certain amount of heat or cooling, a certain power level, a certain level of production, etc. In some cases, the energy management system may cause the operational equipment of the plant to produce unneeded energy that can be stored until a later time and then used, or that can be sold back to a public utility, for example, so as to reduce the overall cost of energy within the plant.

A system and method for managing energy consumption of a building system includes a source of actual energy consumption data, a source of actual weather data, and a database correlating discrete weather data values with expected energy consumption values for at least one component of the building system. A computer accesses the actual weather data, actual energy consumption data and database, wherein the computer compares the expected energy consumption values with actual energy consumption data and generates an output based on the comparison. The expected energy consumption values are generated for the discrete weather data values using an energy consumption model that functionally relates discrete weather data values and design information for the building system component.

A system for reducing utility consumption of at least one subsystem of a facility is disclosed. A utility meter is coupled to the subsystem for monitoring utility consumption of the subsystem and provides data corresponding to the measured energy consumption. A controller in communication with the subsystem and the energy meter is configured to control the operation of the subsystem by employing an operating protocol with the protocol dependent on the data received from the utility meter. The system measures the reduction in utility consumption and generates a credit based on the measured reduction.

A behavior modification system includes a network of components that interact to collect various data and provide user feedback. The network may include a personal device, an Internet-enabled storage device and a hub capable of receiving communications from the personal device and communicating to the storage device. The personal device may include bio-impedance measurement circuitry, an accelerometer and a processor for determining energy expenditure based on data from the accelerometer(s). The system may include a smart hub capable of routing communications between various components within the system. The hub may include different transceivers for different communication protocols. The system may incorporate a low-power RF wake-up system. The system may include bio-impedance measurement circuitry that is reconfigurable to function as an alternative type of sensor. In other aspects, the present invention provides a method for measuring bio-resonance and a method for determining caloric intake from body composition and caloric expenditure.

A method for the treatment of obesity or other disorders, by wireless electrical activation or inhibition of the sympathetic nervous system. This activation or inhibition can be accomplished by wirelessly stimulating the greater splanchnic nerve or other portion of the sympathetic nervous system using a wireless electrode inductively coupled with a radiofrequency field. The source of radiofrequency energy may be internal or external to the patient. This nerve activation can result in reduced food intake and increased energy expenditure.

A system and method is provided to enable consumers to intelligently manage their consumption of energy. In one embodiment, waveform data is collected for a plurality of appliances which may be found in a residential or commercial setting using a plurality of multi-port outlet monitoring devices. The collected waveform data is processed and analyzed to obtain power consumption profiles that indicate power consumption on a per-appliance and / or per-outlet basis and / or per user basis.

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.

An improved apparatus and methods of posture and physical activity monitoring. The apparatus is physically mountable to or associated with an object or person, includes a multi-axis accelerometer, and derives measurements of posture and of acceleration. Methods are disclosed which provide improved estimations of posture, acceleration, energy expenditure, movement characteristics and physical activity, detect the influence of externally-caused motion, and permit automatic calibration of the apparatus in the field.

An illustrative mobile computing device executing weight, nutrition, health, behavior and exercise application software serves as a simulated combination personal trainer and dietician / nutritionist for the user using comprehensive databases storing personalized health, nutrition and exercise information. A mobile computing device, such as a smartphone, executing such software monitors, tracks and / or adjusts caloric intake, energy expenditure taking into account nutritional information and behavioral factors. The mobile computing device receives food consumption, exercise-related, behavior and other input using speech input and the device's GPS subsystem to ease data entry burden on users and to promote continued long-term usage. The system rewards user goal achievement in an automatic, seamless manner, through, for example, downloading music, books, or other media. In illustrative implementations, the system assists users to make healthy food and exercise choices by using a comprehensive color code system to identify good choices, bad choices and those in between.

The present invention discloses a system for monitoring and estimating the consumption of energy resources in real-time. The system includes an interactive user module, a measuring unit and a wireless network. The measuring unit is interfaced to a utility meter. Optionally, the measuring unit can also function as a stand alone device. The measuring unit is further connected to the interactive user module via the wireless network. The system monitors energy resource consumption such as electricity, gas or water consumption in real-time, generates and displays graphs of energy resource consumption over user selected time periods and enables communication with at least one utility company. The system increases the users' awareness of their energy consumption and aids users in dynamic or deregulated pricing environments to shed load when the energy resource is most expensive. With knowledge of their energy use, the users can take proactive steps to control their energy consumption and save money. A method of estimating the energy resource consumption over a period of time is also provided.

Methods and therapeutics are provided for treating metabolic disorders by activation of melanocortin signaling pathways. Generally, the methods and therapeutics can induce activation of melanocortin receptor signaling to increase energy expenditure and induce weight loss. In one embodiment, a method for performing a diagnostic procedure can be chosen, energy expenditure then assess in light of the diagnostic procedure and a definitive procedure(s) can be selected dependent on the outcome of the energy assessment. In another embodiment, a diagnostic procedure can be chosen to activate melanocortin receptor pathways, energy expenditure can be assessed and a definitive procedure(s) can be chosen that selectively and optimally activate melanocortin receptor pathways.

A power saving method for self-luminous displays and an apparatus thereof, comprises determining active and inactive portions of a display screen. The inactive portions of the display screen are modified in accordance with criteria to save power by reducing energy consumption of the inactive portions while the active portions remain powered.