429results about "Analogue computers for nuclear physics" patented technology

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 intelligent monitoring and management of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a real-time energy pricing engine, virtual system modeling engine, an analytics engine, a machine learning engine and a schematic user interface creator engine. The real-time energy pricing engine generates real-time utility power pricing data. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The machine learning engine stores and processes patterns observed from the real-time data output and the predicted data output to forecast an aspect of the electrical system.

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.

Embodiments of the present invention provide power flow analysis and may process electrical power distribution system data in real time to calculate load, current, voltage, losses, fault current and other data. The power flow analysis system may include a detailed data model of the electrical power distribution system, and may accept a variety of real time measurement inputs to support its modeling calculations. The power flow analysis system may calculate data of each of the three distribution system power phases independently and include a distribution state estimation module which allows it to incorporate a variety of real time measurements with varying degrees of accuracy, reliability and latency.

A system and a method provide a photovoltaic system which regenerates the output characteristics of the photovoltaic at different ambient condition with high precision under all environmental conditions. The photovoltaic system includes a photovoltaic array, a buck / boost converter, a DC link capacitor to connect the buck / booster converter to a load / inverter, an adaptive network-based fuzzy inference maximum power point tracking controller, a voltage control loop, a proportional integral controller to maintain the output voltage of the photovoltaic array to the reference voltage by adjusting the duty ratio of buck / boost converter.

Systems and methods for energy monitoring and for providing the user with contextual information on the energy usage of a building area are disclosed. The methods may comprise performing an energy audit of a building and using the audit data and a building physics simulator to construct a computational model of the building's energy usage. An energy budget may be derived based on the computational model. The building's actual energy usage is reported with contextual information on energy usage from the computational model, the energy budget, historical data on energy usage, and other sources. The systems generally include energy monitoring hardware, a building physics simulator engine, and an interface. The interface may be implemented in hardware or software. The components of the system may be located in one building, or a central monitoring station with a building physics simulator engine may communicate with energy monitoring hardware in several buildings.

A system for an intelligent web-based monitoring and management of an electrical system is disclosed. The system comprises a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system; a web application server communicatively connected to the data acquisition component, the web application server configured to transmit a user interface to a client terminal, the web application server comprising: a virtual system model database communicatively connected to the data acquisition component, the virtual system model database configured to store a virtual system model of the electrical system, a power analytic simulation engine comprising a virtual system modeling engine communicatively connected to the virtual system model database, the virtual system modeling engine configured to generate a predicted data output for the electrical system utilizing the virtual system model of the electrical system, and an analytics engine communicatively connected to the virtual system model database, the analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, and to initiate a calibration and synchronization operation to update the virtual system model when a difference between the real-time data output and the predicted data output exceeds a threshold, and a client terminal communicatively connected to the web application server, the client terminal configured to display the user interface.

Systems and methods for real-time modeling of a microgrid. In an embodiment, real-time data is acquired from a microgrid. Predicted data for the microgrid is generated using a first virtual system model of the microgrid, which comprises a virtual representation of energy sources within the microgrid. The real-time data and the predicted data are monitored, and a calibration and synchronization operation is initiated to update the first virtual system model in real-time when a difference between the real-time data and the predicted data exceeds a threshold. Parameters of the first virtual system model can be modified to create a second virtual system model, and aspects can be forecasted for the microgrid operating under the modified parameters of the second virtual system model. In a further embodiment, market price information can be received, and optimization solutions can be generated based on the market price information.

A system for providing real-time modeling of protective device in an electrical system under management is disclosed. The system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component is communicatively connected to a sensor configured to provide real-time measurements of data output from protective devices within the system under management. The virtual system modeling engine is configured to update a virtual mode of the system based on the status of the protective devices and to generate predicted data for the system using the updated virtual model. The analytics engine is communicatively connected to the data acquisition system and the virtual system modeling engine and is configured to monitor and analyze a difference between the real-time data output and the predicted data output. The analytics engine is also configured to determine the bracing capabilities for the protective devices.

The present invention provides apparatus and methods to perform thermal management in a computing environment. In one embodiment, thermal attributes are associated with operations and / or processing components, and the operations are scheduled for processing by the components so that a thermal threshold is not exceeded. In another embodiment, hot and cool queues are provided for selected operations, and the processing components can select operations from the appropriate queue so that the thermal threshold is not exceeded.

A system, in one embodiment, provides means for acquired measurements of one or more operating parameters of a turbine engine. The system further includes means for determining an estimated value of a performance parameter of interest at a current time based at least partially upon the acquired measurements, means for adjusting a deterioration model at the current time based on a historical set of estimated values from previous times, and means for forecasting performance changes in the turbine engine based on the adjusted deterioration model.

A static heat transfer model is derived from a system of dynamic equations by integrating the dynamic equations over different time periods. That static heat transfer model links periodic (e.g., monthly) energy usage with cooling and heating degree hours, humidifying and dehumidifying hours. Its coefficients of measuring correlations correspond to the thermal parameters of buildings. Temporal data from a building may be used to estimate the overall heat transfer parameters. A clustering scheme may be developed to decompose all the buildings into different clusters based on one or more similarity criteria. The overall heat transfer parameters are separated into values for the wall, roof and window using multiple buildings' data in the same cluster or group.

A system for real-time optimization of power resources on an electrical system is disclosed. The system includes a data acquisition component, an analytics server, a control element and a client terminal. The data acquisition component is communicatively connected to a sensor configured to acquire real-time data output from the electrical system. The analytics server is communicatively connected to the data acquisition component and is comprised of a virtual system modeling engine, an analytics engine and a power flow optimization engine. The virtual system modeling engine is configured to generate predicted data output for the electrical system utilizing a virtual system model of the electrical system. The control element is interfaced with an electrical system component and communicatively connected to the analytics server. The client terminal is communicatively connected to the analytics server.

A method for distributed spectrum management of digital communication systems having a plurality of communication lines on which signals are transmitted and received by respective users, the method comprising the steps of: collecting information about line, signal and interference characteristics of a plurality of the communication lines from a plurality of sources; determining the line, signal and interference characteristics of a plurality of the communication lines; varying power allocation of particular plurality of the communication lines between respective transmitter and receiver taking into consideration the determined line, signal and interference characteristics of a plurality of the communication lines and consideration of a noise weight of a plurality of the communication lines to enable a minimum power on a plurality of the communication lines and to allow required effective data-rates for each of said respective users to be satisfied.

A system for real-time modeling of electrical system performance is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The power analytics server is comprised of a virtual system modeling engine, an analytics engine and a power system simulation engine. The virtual system modeling engine is configured to generate predicted data output utilizing a first virtual system model. The analytics engine is configured to synchronize the first virtual system model when a difference between the real-time data output and the predicted data output exceeds a threshold. The power system simulation engine is configured to store and process patterns and facilitate modification of parameters on the first virtual system model to create a second virtual system model; and forecast an aspect of the electrical system operating under parameters of the second virtual system model. The client terminal displays the forecasted aspects.

A dynamic power control system for controlling power utilization on a local level in a power sub-network of a power grid is presented. The power sub-network is configured with switchable power nodes, each having an associated priority level and each having a switch element that operates to switch coupling and uncoupling of first and second subsets of power lines in the sub-network. A sub-network controller monitors utility information that is associated with one of a plurality of system priority levels each of which is associated with one of a plurality of switch state configurations of the respective switch states of the switchable power nodes in the power sub-network, and effects the switch states of the switchable power nodes to comply with the switch state configuration associated with the received utility information.

The present disclosure provides a method for obtaining degradation of a battery comprising the steps of collecting data of the battery and data related to the degradation of the battery; processing the collected data to obtain parameters related to the degradation of the battery; creating and updating a degradation model for the battery with the obtained parameters; and computing the degradation of the battery by using the degradation model and the parameters.

A system and method to model and design a layout of an Internet Datacenter (IDC) for cooling. The IDC is defined as a collection of cells, the cells of the IDC are pre-characterized, an arrangement of the cells within the IDC is determined, and a profile for one or more parameters of interest for each cell are determined.

A network which includes electromagnetic components, such as a wireless communications system, is designed, optimized, modified and / or saved or exported to another applications program using a graphical interface. A display may present a graphical rendering of performance characteristics in a site specific manner showing elements such as walls, doors, windows, furniture, people, foliage, and terrain. The locations where performance characteristic information are presented can be automatically selected and adjusted to present more or less information. The display can be viewed at multiple perspectives, and the viewing angle can be adjusted. In one embodiment, the display can graphically present information related to two different performance characteristics. An infrastructure wiring diagram can be generated for analysis or for exportation to other applications using the system, wherein after components are positioned and connected within the context of a site map, the site map itself is eliminated or significantly reduced in prominence.

A method for monitoring a wind turbine is provided. The method includes defining at least one subsystem of the wind turbine and providing a simulation model for the at least one subsystem. During normal operation of the wind turbine at least an input parameter of the at least one subsystem is determined A behavior of the at least one subsystem is simulated using the at least one input parameter as an input of the simulation model. Based on the simulated behavior, it is determined, if the at least one subsystem operates within a given specification.

A dynamic power control system for controlling power utilization on a local level in a power sub-network of a power grid is presented. The power sub-network is configured with switchable power nodes, each having an associated priority level and each having a switch element that operates to switch coupling and uncoupling of first and second subsets of power lines in the sub-network. A sub-network controller monitors utility information that is associated with one of a plurality of system priority levels each of which is associated with one of a plurality of switch state configurations of the respective switch states of the switchable power nodes in the power sub-network, and effects the switch states of the switchable power nodes to comply with the switch state configuration associated with the received utility information.

Methods and systems for operating combined cycle electrical generating plants is provided. The method includes simulating the electrical power plant performance, simulating the steam utilizing process plant performance, parameterizing plant equipment and plant performance using the power plant and process plant simulation results, and solving parameterized simultaneous equations and constraints with an objective function to determine parameter settings that facilitate enhancing an efficiency of the combined cycle electrical generating / steam-utilizing process plant.

A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. The bi have a direct effect on the gain of a dynamic model (22). This is facilitated by a coefficient modification block (40). Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y. Additionally, the path that is traversed between steady-state value changes.

A method of analyzing power consumption for a DUT (device under test) that includes an integrated circuit or an electronic system includes: providing emulation data for states of the DUT in one or more time windows; determining operational mode values from the emulation data and a selection of operational modes that characterize circuit behavior in the one or more time windows; dividing each time window into one or more segments based on at least one power criterion; determining power-activity values for the one or more segments; determining power-consumption values for the one or more segments from the power-activity values; using the power-activity values and the power-consumption values to determine relative power activity across the one or more segments and adjusting the one or more segments to target high power activity over operational modes in the one or more time windows; and saving one or more values for power activity of the DUT in a computer-readable medium.

Systems and methods for real-time modeling of a microgrid. In an embodiment, real-time data is acquired from a microgrid. Predicted data for the microgrid is generated using a first virtual system model of the microgrid, which comprises a virtual representation of energy sources within the microgrid. The real-time data and the predicted data are monitored, and a calibration and synchronization operation is initiated to update the first virtual system model in real-time when a difference between the real-time data and the predicted data exceeds a threshold. Parameters of the first virtual system model can be modified to create a second virtual system model, and aspects can be forecasted for the microgrid operating under the modified parameters of the second virtual system model. In a further embodiment, market price information can be received, and optimization solutions can be generated based on the market price information.

A system, methods, and user-friendly program product to calculate global energy utility targets and define optimal driving force distribution for a process or cluster of processes under all possible process changes and streams specific minimum temperature approach values, simultaneously, and without enumeration, are provided. The program product can utilize stream-specific minimum temperature approach values ΔTmini, where the superscript i represents the specific hot stream, as the optimization parameters instead of the single global ΔTmin currently used, in addition to identifying the optimal operating conditions. The program product can define optimal process conditions and an optimal driving force distribution in heat recovery systems, and can produce an optimal Pareto-curve that shows the rigorous trade off between energy cost and capital cost for any energy recovery system.

A network which includes electromagnetic components, such as a wireless communications system, is designed, optimized, modified and / or saved or exported to another applications program using a graphical interface. A display may present a graphical rendering of performance characteristics in a site specific manner showing elements such as walls, doors, windows, furniture, people, foliage, and terrain. The locations where performance characteristic information are presented can be automatically selected and adjusted to present more or less information. The display can be viewed at multiple perspectives, and the viewing angle can be adjusted. In one embodiment, the display can graphically present information related to two different performance characteristics. An infrastructure wiring diagram can be generated for analysis or for exportation to other applications using the system, wherein after components are positioned and connected within the context of a site map, the site map itself is eliminated or significantly reduced in prominence.