788 results about "Energy requirement" patented technology

A business methodology for optimizing energy procurement energy demand (usage) and energy supply for a facility or complex. After ascertaining a baseline model, energy consumption is monitored and adjusted to reflect dynamic economic factors of operations. With the accumulation of data, contract negotiations with energy suppliers may provide further energy savings. Over time and patterns of usage determined further savings and optimization in energy, equipment, staffing and other operational areas are obtained. Remote access provides efficient monitoring of established systems.

A rechargeable battery energized unmanned aerial vehicle having surveillance capability and an ability to clandestinely collect propulsion and other energy needs from a conveniently located and possibly enemy owned energy transmission line. Energy collection is by way of a parked vehicle engagement with the transmission line in a current flow dependent, magnetic field determined, rather than shunt, voltage dependent, conductor coupling. Surveillance during both a parked or docked condition and during aerial vehicle movement is contemplated.

A system that facilitates and implements energy savings decisions by a home owner. The system will provide a mechanism to reduce the peak level of energy demand. A controller in logical communication with energy consuming appliances responds to request for energy from energy consuming appliances and devices by permitting or curtailing energy supply to the appliances or devices based on evaluation of a plurality of logical considerations. The controller may be operated to provide energy to fewer than all of the energy requesting appliances to reduce the energy demand on an energy supply source, including the instantaneous peak demand.

A decentralized load management and control system and method are provided herein. A plurality of loads in a system are associated with a multitude of respective networked load controllers. If energy demand exceeds optimum limits in operation then the networked load controllers collaborate to determine which load(s) will be shed based on an optimization algorithm that considers, inter alia, variable load priority and business objectives. Additionally and / or alternatively, if the metered energy demand is less than optimum, the load controllers can determine which loads to reconnect again based at least upon load priority and business objectives.

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.

An energy management system and method providing a holistic premise energy optimization and energy efficiency reclamation system comprised of an interconnected system of software, analytics and automated process that optimizes the energy generation and storage technologies, energy consumption, energy demand and energy utilization of energy consuming assets within a premise.

A system for shifting energy demand from on-peak time windows to off-peak time windows by using hot water heater load shifting, while providing the end user with the level of service (i.e., availability of hot water) according to the user's customary use described by service quality criteria. The shift is accomplished by a controller located at the end user establishment and in communication with a central control server. The controller monitors local water heater upper and / or lower temperature and controls upper and / or lower water heater heating elements in accordance with a demand shift process commanded by the central control server. The controller may determine usage and remaining capacity for reporting back to the central control server. A volumetric capacity and usage determination is disclosed. The control server may select water heaters according to use patterns and / or measured capacity. One embodiment is adapted for use with existing water heaters without disrupting safety features of the existing water heater.

A method to calculate energy demand in an energy generation, transmission and distribution network including one or more power plants based on different energy source types including renewable energy, a communications system and one or more local consumption metering units. A customer demand profile for one or more customers is provided. A customer-specified proportion of power demand to be supplied from a given energy source type is registered. A total predicted energy demand dependent is calculated in part on an accumulated demand for the given energy source type.

An energy optimization method and control apparatus may be used in a single building or a group of buildings to optimize utility-supplied and renewable sources in order to minimize the total energy cost. Simultaneously, it may also produce and store energy, such as electricity or hydrogen, that can be used to fuel vehicles, provide a means for independent production of household energy needs, or both. Various factors, such as the production of thermal energy and electricity from the renewable sources, the current store of stored energy, the current and expected thermal and electricity requirements of the building (based on a profile), the current and expected electricity loads of the equipment used to process stored energy, the expected thermal and electricity generating capacity of the renewable sources and other factors can be used to determine the mix of renewable-based and utility-based energy that minimizes the total energy cost.

Described herein are methods and systems, including computer program products, for optimizing and controlling the energy consumption of a building. A first computing device generates a set of thermal response coefficients for the building based on energy characteristics of the building and weather data associated with the location of the building. The first computing device predicts an energy response of the building based on the set of thermal response coefficients and forecasted weather associated with the location of the building. The first computing device selects minimal energy requirements of the building based on an energy consumption cost associated with the building. The first computing device determines one or more temperature set points for the building based on the energy response and the minimal energy requirements. The first computing device transmits the one or more temperature set points to a thermostat of the building.

The present invention comprises a method, and corresponding system, apparatus and memory for trading energy commitments to reduce or increase energy demand (a demand response commitment), to increase or reduce energy production (a supply response commitment) upon demand or to deliver or to not deliver energy (an energy delivery commitment). Such commitments are made available by energy consumers, energy generators and energy delivery companies, respectively, to an entity that provides consideration for these energy commitments and trades them as fungible commodities to energy market participants. In one embodiment, the present invention comprises a method for trading energy commitments to reduce or increase energy consumption, to increase or reduce energy generation, or to deliver energy, comprising receiving a plurality of multi-year energy commitments; providing consideration for each of the multi-year energy commitments; and trading at least one of the plurality of energy commitments upon demand.

An Intelligent Thermostat (IT) device and method of use for the retrieval and display of real-time energy demand and energy pricing. The IT device is configured to perform automatic adaptation of energy conservation based on real-time fluctuations in the energy pricing from a Utility Company. The IT device controls a multicolor backlight to immediately notify the user of real-time fluctuations in the energy pricing.

A neurostimulation system comprising stimulation output circuitry configured for delivering stimulation pulses to target tissue in accordance with a set of stimulation parameters. The neurostimulation system comprises monitoring circuitry configured for continuously measuring action potentials evoked in the target tissue in response to the delivery of the stimulation pulses to the target tissue, memory configured for storing a characteristic of a reference evoked action potential, and at least one processor configured for initiating an automatic mode, in which a characteristic of the measured evoked action potentials is compared to the corresponding characteristic of the reference evoked action potential, and one or more stimulation parameter values in the set of stimulation parameters are adjusted to decrease or increase the energy level of the stimulation pulses, thereby evoking action potentials in the target tissue having substantially the same corresponding characteristic as the reference evoked action potential.

A method and apparatus for treatment of heart failure by reducing LV diastolic volume and pressure by pumping blood out of the LV during diastole. A pump is synchronized to the heart cycle, connected to the apex of the LV and discharging into the right atrium of the heart. A left ventricle to aorta one-way valved conduit with added compliance decreases blood pressure in the aorta and the resistance to the ejection of blood by the heart decreases the energy requirements of the heart.

Fully automated demand response may be implemented at end users, in accordance with terms agreed to by end users to reduce energy demand during demand response events. Demand reduction actions to implement the objectives of a demand response event at the end users may be determined, desirably using artificial intelligence and neural networks, based on energy demand curtailment objectives of the demand response event, hierarchy(ies) of demand reduction actions for respective demand response events ordered to minimize undesired impact at the end users, and monitoring data received from, or relating to implementing energy demand curtailment at, the end users. In addition, demand reduction actions may be automatically implemented at end users in the absence of a demand response event, to implement energy demand curtailment according to criteria of end users, where the demand reduction actions are determined based on monitoring data and a hierarchy(ies) of demand reduction actions and using artificial intelligence and neural networks.

The invention relates to an energy storing method and apparatus for use by end-users of energy, such as commercial property owners and operators. The system differs from past systems, insofar as it is not intended to be used by and in connection with energy suppliers, such as large utility and power supply plants and grids. The system preferably relates to the manner in which an end-user of energy can implement energy and costs savings, by using energy storage and time-shifting methods, to control and regulate the consumption of energy in a manner that achieves a cost savings over a period of time. One aspect of the method relates to accurately forecasting and predicting the energy demands and peaks that might occur on a daily basis, by recording and analyzing the prior day's history, as well as the overall energy demand histories, using short and long term forecasts, and then setting up a variable energy storage / use plan or schedule that helps to reduce the peak demands by time-shifting the energy that is used, i.e., reducing consumption during high demand / high cost periods, and using the energy stored during low demand / low cost periods during the high demand / high cost periods.

An energy saving apparatus for use with a heat exchange system having a cooled chamber, a compressor, a condenser, an evaporator, an evaporator fan, and refrigerant within refrigerant carrying lines has an evaporator fan controller for monitoring operational status of the system (cooling or non-cooling) and setting an energy saving operational speed for the evaporator fan based on the operational status of the system (cooling or non-cooling) and a current sensor coupled to the evaporator fan controller for detecting the operational status of the system (cooling or non-cooling). If the system is detected as cooling, the evaporator fan controller directs the evaporator fan to operate at a high speed and if the system is detected as not cooling (non-cooling), the evaporator fan controller decreases the operational speed of the evaporator fan to a low speed, thereby decreasing evaporator fan produced heat, resulting in an overall decreased energy requirement for the heat exchange system.

A controller and / or a gateway acts as a feedback-based energy estimator for controlling initial and refined estimates of energy usage of one or more buildings controlled by the controller or gateway. An initial estimate of a building's energy needs for a specified time in the future (e.g., a month or a week ahead) are calculated, and then over time, in conjunction with an energy company, the initial estimate (and subsequent estimates) is revised based on the costs of the energy predicted or quoted by the energy company. The controller may examine jobs to be performed at the time as well as predictive information that may affect the building's energy needs (e.g., the predicted temperature for the time of the predicted energy needs). As expectations change (or as predicted factors such as temperature change), the energy company may be informed of the additional energy that will be needed (e.g., if the predicted temperature is increasing and cooling will be needed) or the excess energy that is expected (e.g., if the predicted temperature is decreasing and less cooling will be needed).

A method of price forecasting in an electrical energy supply network and / or load (energy demand) forecasting of a given consumer of electrical energy, in the context of an electrical energy supply network that is adapted to supply electrical energy to a number consumers connected to the network. The method includes developing a multi-regime, regime switching stochastic model for determining day ahead / spot market energy prices using at least one historical profile and subjective opinion from at least one expert; and the multiple regimes correspond to a number of combinations of physical factors. A regime is identifiable by at least three factors. The method thus facilitates identifying the optimal mix of energy hedge and exposure to day ahead / spot market prices for deriving economic benefits in overall energy expenditure.

The invention relates to an energy storing method and apparatus for use by end-users of energy, such as commercial property owners and operators. The system differs from past systems, insofar as it is not intended to be used by and in connection with energy suppliers, such as large utility and power supply plants and grids. The system preferably relates to the manner in which an end-user of energy can implement energy and costs savings, by using energy storage and time-shifting methods, to control and regulate the consumption of energy in a manner that achieves a cost savings over a period of time. One aspect of the method relates to accurately forecasting and predicting the energy demands and peaks that might occur on a daily basis, by recording and analyzing the prior day's history, as well as the overall energy demand histories, using short and long term forecasts, and then setting up a variable energy storage / use plan or schedule that helps to reduce the peak demands by time-shifting the energy that is used, i.e., reducing consumption during high demand / high cost periods, and using the energy stored during low demand / low cost periods during the high demand / high cost periods.

A package case is structured by a plurality of substantially identical and flat frames stacked on one another. Flat laminate cells (accumulator cells) are individually accommodated in the frames and stacked on one another, so that the number of flat laminate cells (accumulator cells) can readily be changed simply by increasing / decreasing the number of frames to be stacked to meet energy needs and the like. The accumulator device is segmented using the plurality of flat frames, so that externally applied impacts can readily be dispersed and the impact transmitted to the flat laminate cells (accumulator cells) can be reduced without reinforcing the accumulator device 1 with more than necessary strength.

Energy-aware software control in a computer system requires a plurality of displays. At least two of the displays have diverse attributes that enable reduction in the energy consumption of the computer system. The energy-aware software control involves profiling screen usage patterns and their impact on energy consumption by the displays and in turn by the computer system. The profiling results in an energy model. A determination is made when to activate (or deactivate) the energy-aware software control of the displays in order to decrease their energy consumption. Under the energy-aware software control, and guided by the energy model, a screen fashioned by one or more applications is divided up into sub-screens. Then, the energy needs associated with the sub-screens are matched to particular displays in accordance with their respective attributes and the energy model. The idea is to put the sub-screens on view by matched and likely different displays without significantly diminishing the user experience.

This disclosure generally relates to stabilizing energy provided by an energy source, and more particularly to systems and methods for using multiple types of energy storage devices to selectively capture and provide energy. An energy source provides energy, and the energy storage devices selectively capture energy provided by the energy source in excess of an immediate energy requirement of a load and selectively provide energy when the immediate energy requirement of the load exceeds the energy provided by the energy source.

Event-driven processor architectures are particularly suited for use in multiple sensor node networks and simulators of such networks. A first variation of the processor is particularly suited for use in a sensor node in a wireless sensor network. Through use of the event-driven architecture and special message and timing coprocessors, this embodiment of the invention is optimized for low energy requirements and data monitoring operations in sensor networks. A second embodiment of the invention includes modifications necessary for use of the processor in a network simulation protocol.

A method, system and program product for quantifying risk of unserved energy in an energy system using a digital simulation. An energy demand forecast is generated based at least in part on a weather model for near term future periods. A plurality of energy supply resources are committed to meet the plurality of energy demand assisted by a plurality of storage devices and associated ancillary services. A probable operating status is specified for each committed energy supply resource in the energy system. Renewable energy resources such as wind, solar cells, and biofuels are also included in the models for energy supply sources. A determination is made as to whether or not the committed supply resources and storage devices are sufficient to meet the energy demand as well as determine the cost of production above a prespecified LODP and EUE.

A power inverter control adjusts input power to track with output power to reduce energy handling requirements for an inverter DC bus. Input power to the power inverter circuit is measured and compared with a measurement of inverter output power. The comparison result is applied to a power factor correction circuit to adjust input power to track with output power, while obtaining a good power factor for the power inverter circuit. The energy requirements and ripple voltages or ripple currents on the DC bus are reduced, leading to a reduction in rating specifications for passive energy storage elements on the DC bus.