3726 results about "Energy management" patented technology

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.

Systems and methods are disclosed for using 802.11 based wireless protocols in various energy management applications wherein a host controller uses various types of communication networks to distribute information to an on-premise processor that in turn uses 802.11 based wireless protocols to communicate with various types of end devices, such as utility meters. Various forms of communication are defined between the end device, the on-premise processor, and the energy management host for accomplishing power load control, including determining when to activate or deactivate a load, requesting permission to activate a load, reading usage data, activating or deactivating a meter, and determining rate schedules. A flexible scheme allows control to be shifted to be resident in various entities. The architecture is applicable not only for power load control, but other control type and metering devices.

Systems and methods are disclosed for using 802.11 based wireless protocols in various energy management applications wherein a host controller uses various types of communication networks to distribute information to an on-premise processor that in turn uses 802.11 based wireless protocols to communicate with various types of end devices, such as utility meters. Various forms of communication are defined between the end device, the on-premise processor, and the energy management host for accomplishing power load control, including determining when to activate or deactivate a load, requesting permission to activate a load, reading usage data, activating or deactivating a meter, and determining rate schedules. A flexible scheme allows control to be shifted to be resident in various entities. The architecture is applicable not only for power load control, but other control type and metering devices.

The invention discloses an internet-of-things and android system based intelligent home system which comprises a control host and a plurality of terminal devices. The control host is provided with a high-performance arm processor, a touch screen and an android operation system, supports zigbee, blueTooth, wifi (wireless fidelity), 3G (the third generation) communication, is provided with a built-in web server and a built-in database, has functions of display, operation, control data storage, server, energy management, and particularly has functions of automatic control, hand-operated control, voice control and remote control. The terminal devices include a sensor terminal, a security terminal and a control terminal, are provided with independent processors and network addresses, have functions of data acquisition, data transmission, instruction receiving, transmitting and processing and IO (input / output) control, and support one or multiple wireless communication manners of zigbee, blueTooth, wifi and 3G.

An energy scavenging power system and method may include an energy conversion system having at least one transducer configured to harvest energy, an energy management and storage system configured to store harvested energy; and a load regulation system configured to provide stored energy to power one or more low power-consumption loads. The energy management and storage system may include a start-up capacitor having a small capacitance to allow for quick charging and fast turn-on, a short term capacitor to provide energy to the load or loads once turned-on, and a long term capacitor having a large capacitance to provide for sustained energy delivery to the loads. The system also may include a common charging bus that receives energy from each transducer, conditioned if necessary, and which then determines the capacitor to which the energy should be delivered.

Embodiments of the present invention assist customers in managing the four types of energy assets, that is, generation, storage, usage, and controllable load assets. Embodiments of the present invention for the first time develop and predict a customer baseline (“CBL”) usage of electricity, using a predictive model based on simulation of energy assets, based on business as usual (“BAU”) of the customer's facility. The customer is provided with options for operating schedules based on algorithms, which allow the customer to maximize the economic return on its generation assets, its storage assets, and its load control assets. Embodiments of the invention enable the grid to verify that the customer has taken action to control load in response to price. This embodiment of the invention calculates the amount of energy that the customer would have consumed, absent any reduction of use made in response to price. Specifically, the embodiment models the usage of all the customer's electricity consuming devices, based on the customer's usual conditions. This model of the expected consumption can then be compared to actual actions taken by the customer, and the resulting consumption levels, to verify that the customer has reduced consumption and is entitled to payment for the energy that was not consumed.

Methods and systems for energy management are disclosed. An example system includes a first port connected to an energy storage device for bidirectional flow of energy, a second port connected to an energy source device for unidirectional flow of energy, a third port connected to a utility grid for bidirectional flow of energy, and a unified control system with control logic configured to simultaneously control energy flow between the first, second, and third ports based on at least two factors from the group consisting of: a state of charge of the energy storage device, a state of the energy source device, and a state of the utility grid. Other embodiments are described and claimed.

The present invention provides a system, method and computer program for energy use management and reduction. The invention enables managing and reducing energy usage by monitoring energy usage of users and rewarding users for reducing energy usage. It includes monitoring energy consumption for users. Any reduction in energy consumption is commoditized. The commoditized energy can be sold on a market. Some or all of the revenues realized from the sale may be distributed to the users as encouragement to further reduce energy usage.

A method and system for energy management via energy-aware process scheduling provides per-process energy use / power dissipation control to manage system energy requirements and thermal conditions without throttling overall system performance. Use of energy by a particular process is measured or is estimated from resource requirements that are determined by the operating system or reported by the application owning the process. The scheduler then determines whether or not to allocate execution slices to the process in conformity with the measured or estimated energy requirements of the process. The scheduler may insert “idle” execution slices to reduce energy use / power dissipation or may prefer low energy-use processes over high energy-use processes. Pragmatic faults may be issued as warnings from the operating system to an application to indicate that energy requirements need to be curtailed. If the warning sent to the application does not result in sufficient energy use / power dissipation reduction, then the scheduler may implement the selective allocation of slices to processes that have an excessive energy requirement. The scheduler may be notified of such a condition through pragmatic “critical” faults that indicate a higher degree of severity than the previously-issued warning faults.

The invention concerns a method of managing energy consumed by a group of energy consuming devices (31 to 39) and energy consuming devices (31 to 36) for executing this method. Energy consuming devices (31 to 36) of the group of energy consuming devices exchange messages according to an energy management control protocol via a communication media (4). The energy management control protocol comprises an energy booking message type for announcing future energy consumption, an energy reduction indication message type for announcing possible reduction of energy consumption and a granting message type for granting an energy booking message and / or an energy reduction indication. The energy consuming devices (31 to 36) negotiate their energy consumption by means of the messages exchanged according to the energy management control protocol and control their energy consumption according to the result of this negotiation.

A system for providing network infrastructure for energy management and control is disclosed. A controller integrates powerline and wireless networking technologies in order to provide an integrated network. A gateway sends and receives command and control data across the integrated network. Client devices may connect to the integrated network and perform a variety of functions. An appliance module may send and receive data across the integrated network in relation to a particular appliance. A panel meter may send and receive data across the integrated network in relation to data measured at a distribution panel. A serial bridge may connect various devices to the integrated network. Computing devices may remotely or locally connect to the integrated network and send and receive data.

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.

Automatic energy management is provided, in even the most complex multi-building system. The necessity of a human operator for managing energy in a complex, multi-building system is reduced and even eliminated. Computer-based monitoring and computer-based recognition of adverse energy events (such as the approach of a new energy peak) is highly advantageous in energy management. Immediate automatic querying of energy users within a system of buildings for energy curtailment possibilities is provided. Such immediate, automatic querying may be answered by the energy users through artificial intelligence and / or neural network technology provided to or programmed into the energy users, and the queried energy users may respond in real-time. Those real-time computerized responses with energy curtailment possibilities may be received automatically by a data processing facility, and processed in real-time. Advantageously, the responses from queried energy users with energy curtailment possibilities may be automatically processed into a round-robin curtailment rotation which may be implemented by a computer-based control system. Thus, impact on occupants is minimized, and energy use and energy cost may be beneficially reduced in an intelligent, real-time manner. The invention also provides for early-recognition of impending adverse energy events, optimal response to a particular energy situation, real-time analysis of energy-related data, etc.

The invention concerns a method of managing energy consumed by a group of energy consuming devices (31 to 39) and energy consuming devices (31 to 36) for executing this method. Energy consuming devices (31 to 36) of the group of energy consuming devices exchange messages according to an energy management control protocol via a communication media (4). The energy management control protocol comprises an energy booking message type for announcing future energy consumption, an energy reduction indication message type for announcing possible reduction of energy consumption and a granting message type for granting an energy booking message and / or an energy reduction indication. The energy consuming devices (31 to 36) negotiate their energy consumption by means of the messages exchanged according to the energy management control protocol and control their energy consumption according to the result of this negotiation.

Automatic energy management is provided, in even the most complex multi-building system. The necessity of a human operator for managing energy in a complex, multi-building system is reduced and even eliminated. Computer-based monitoring and computer-based recognition of adverse energy events (such as the approach of a new energy peak) is highly advantageous in energy management. Immediate automatic querying of energy users within a system of buildings for energy curtailment possibilities is provided. Such immediate, automatic querying may be answered by the energy users through artificial intelligence and / or neural network technology provided to or programmed into the energy users, and the queried energy users may respond in real-time. Those real-time computerized responses with energy curtailment possibilities may be received automatically by a data processing facility, and processed in real-time. Advantageously, the responses from queried energy users with energy curtailment possibilities may be automatically processed into a round-robin curtailment rotation which may be implemented by a computer-based control system. Thus, impact on occupants is minimized, and energy use and energy cost may be beneficially reduced in an intelligent, real-time manner. The invention also provides for early-recognition of impending adverse energy events, optimal response to a particular energy situation, real-time analysis of energy-related data, etc.

A user interface is visibly displayed on a display device operatively connected to a first computer. The user interface enables an end user to enter at least one energy management rule for each of a plurality of electrical loads at a location, each rule including a command to be transmitted to the electrical load associated with the rule if a condition is met. The energy management rules for each of the plurality of electrical loads are received by a second computer. An energy management profile containing the energy management rules for each of the plurality of electrical loads at the location is created and stored using a second computer. The energy management profile is activated using the second computer. For each of the energy management rules where the condition has been met, the command associated with the rule is transmitted to the electrical load associated with the rule.

A method and system for energy management in a simultaneous multi-threaded (SMT) processing system including per-thread device usage monitoring provides control of energy usage that accommodates thread parallelism. Per-device usage information is measured and stored on a per-thread basis, so that upon a context switch, the previous usage evaluation state can be restored. The per-thread usage information is used to adjust the thresholds of device energy management decision control logic, so that energy use can be managed with consideration as to which threads will be running in a given execution slice. A device controller can then provide for per-thread control of attached device power management states without intervention by the processor and without losing the historical evaluation state when a process is switched out. The device controller may be a memory controller and the controlled devices memory modules or banks within modules if individual banks can be power-managed. Local thresholds provide the decision-making mechanism for each controlled device and are adjusted by the operating system in conformity with the measured usage level for threads executing within the processing system. The per-thread usage information may be obtained from a performance monitoring unit that is located within or external to the device controller and the usage monitoring state is then retrieved and replaced by the operating system at each context switch.