3508 results about "Energy expenditure" patented technology

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.

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.

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 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.

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.

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 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.

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 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.