283 results about "Energy load" patented technology

The power flexibility of energy loads is maximized using a value function for each load and outputting optimal control parameters. Loads are aggregated into a virtual load by maximizing a global value function. The solution yields a dispatch function providing: a percentage of energy for each individual load, a time-varying power level for each load, and control parameters and values. An economic term represents the value of the power flexibility to different players. A user interface includes for each time interval upper and lower bounds representing respectively the maximum power that may be reduced to the virtual load and the maximum power that may be consumed. A trader modifies an energy level in a time interval relative to the reference curve for the virtual load. Automatically, energy compensation for other intervals and recalculation of upper and lower boundaries occurs. The energy schedule for the virtual load is distributed to the actual loads.

A power management device, including: a monitor module that directly monitors energy usage of at least one energy load to generate at least one measurement of energy usage by the at least one energy load; and a control module operatively coupled to the monitor module to control energy usage by the at least one energy load in a pre-determined manner that is based on the at least one measurement of energy usage, wherein the control module controls the at least one energy load via a data link.

A method, system and program product for quantifying a risk of an expected unserved energy in an energy generation system using a digital simulation. An energy load demand forecast is generated based at least in part on a weather year model. A plurality of energy generation resources are committed to meet the energy load demand. An operating status is determined for each committed energy generation resource in the energy generation system. A determination is made as to whether or not the committed resources are sufficient to meet the energy load demand. A dispatch order for a plurality of additional energy resources is selected if the committed resources are not sufficient to meet the energy load demand. Additional resources are committed based on the selected dispatch order until the energy load demand is met. The expected unserved energy is determined and an equivalent amount of energy load demand is shed based at least in part on an expected duration of unserved energy and a customer class grouping. An associated cost for the expected unserved energy is also determined.

The present invention generally teaches systems and methods for creating appliance signatures based upon whole house composite load profiles. Methods may includes steps such as identifying primitive elements including transients and absolute steady state levels; clustering the primitive elements along multiple dimensions to form impulses; combining impulses to form simple bundles; combining simple bundles with each other or impulses to form complex bundles; and determining specific appliance signatures that substantially match the complex bundles. Methods may also include steps such as determining transitions within the whole house composite load profile; determining household specific appliance state machines for each appliance in the household; and disaggregating the whole house composite load profile into individual appliance energy loads by assigning the determined transitions to the determined household specific appliance state machines.

A method for coupling an energy storage system to a variable energy supply system includes providing an energy storage system including at least one Vanadium redox battery and at least one battery charge controller. The method also includes electrically coupling the at least one battery charge controller to the variable energy supply system such that the at least one battery is configured to supply a substantially consistent energy output during fluctuating energy loads of the energy supply system.

A thermal behavior model of a building may be constructed based on time series data. Based on the constructed thermal behavior model, forecasted zone temperature and energy usage for a next control time period may be predicted. An objective function may be constructed based on at least a dynamically priced grid energy cost, occupant comfort matrix, and one or more of: energy storage system cost and associated operational cost, and energy generation system cost and associated green house emission cost and associated operational cost. Constraints may be constructed based on at least the forecasted zone temperature values and energy usage values for the next control time period. A control profile of the HVAC system and sourcing decision of energy load of the HVAC system may be determined simultaneously based on the objective function and the plurality of constraints.

According to one embodiment, an energy management system is provided, which has the DSM function of controlling energy loads. The system has a database and a load adjustment range prediction unit. The unit predicts a load adjustment range by using the history data stored in the database and outputs the load adjustment range thus predicted.

An electro-mechanical energy conversion system coupled between an energy source and an energy load comprising an energy converter device including a permanent magnet induction machine coupled between the energy source and the energy load to convert the energy from the energy source and to transfer the converted energy to the energy load and an energy transfer multiplexer to control the flow of power or energy through the permanent magnetic induction machine.

Hydraulic circuits used to manipulate tools in, for example construction equipment, uses less power for a retraction of a hydraulic cylinder than for an extension of that cylinder. Provided is a hydraulic circuit that uses the stored energy from the low energy phase to lower the energy load on the hydraulic pump during the high energy phase. Energy from the hydraulic pump is increased during the low energy phase to increase the amount of stored hydraulic energy. The increased amount of stored energy is then used to intensify or add to the energy generated by the hydraulic pump for the high energy phase.

A light performance monitoring device and optionally integrated controller includes a monitor module that directly monitors energy usage of at least one energy load to generate at least one measurement of energy usage; a storage module stores a series of baseline values of energy usage of the energy load, a comparator module compares energy measurements made at predetermined intervals with the baseline values, and a notification module notifies a designated recipient that there is a deviation from the baseline values consistent with a burned out or non-operational light fixture, including but not limited to light bulbs or ballast devices. A control module optionally integrated with the light performance monitoring device can be operatively coupled to the monitor module to control energy usage by the at least one energy load via a data link in a pre-determined manner that is based on the at least one measurement of energy usage.

The present invention is directed to a method for managing body weight by measuring preload efficiency and having the energy load of a food serving and providing information as to the measured preload efficiency and energy load of the selected food serving to enable an informed choice of an appropriate food serving. The method can optionally further include the step of calculating a net preload effect that is based on the measured preload efficiency and a known or estimated energy load for the selected food serving.

A system, method, and computer program product for predicting operation for physical systems with distinct operating modes uses observable qualities of the system to predict other qualities of the system. Independent variables including temperature or production volume are observed to determine the degree to which a dependent modeled variable, including energy load, is influenced. Partition variables representing operating conditions of the dependent variables are defined as discrete values. Reference datasets with coincident values of the dependent variable, independent variable, and partition variables are received, and models are created for each discrete value of the partition variables in the reference dataset. Each model is populated with the values of the dependent variable and the independent variable. The dependent variable is modeled as a function of the independent variable. Model accuracy is evaluated by processing new input data to generate output data that includes values of the coincident dependent variable, the independent variable, and the partition variable from the input dataset.

A method, apparatus, and program product manage scheduling of a plurality of jobs in a parallel computing system of the type that includes a plurality of computing nodes and is disposed in a data center. The plurality of jobs are scheduled for execution on a group of computing nodes from the plurality of computing nodes based on the physical locations of the plurality of computing nodes in the data center. The group of computing nodes is further selected so as to distribute at least one of a heat load and an energy load within the data center. The plurality of jobs may be additionally scheduled based upon an estimated processing requirement for each job of the plurality of jobs.

A central site, using grid operator requirements to reduce portfolio power according to frequency decreases within a frequency band, determines the optimal frequency triggers at which each load within a portfolio should reduce power and by how much power. Power availability of each load is optimized. These triggers and individual load power reductions are periodically dispatched from the central site to the individual loads. Each load detects when a frequency deviation occurs and is able to independently and rapidly reduce its power consumption according to the triggers and corresponding power reductions it received previous to the frequency deviation. Reliance upon the central site to detect a frequency deviation and then to dispatch power reductions in real time is not needed. The system also detects frequency increases and directs a portfolio of loads to consume more power. The system applies to energy loads and detection of a grid signal in general.

The power flexibility of energy loads are maximized using a value function for each load and outputting optimal control parameters per load. These loads are aggregated into a virtual load by maximizing a global value function that includes the value function for each individual load. The solution yields a dispatch function providing: a percentage of energy to be assigned to each individual load, a possible time-varying power level within a time interval for each load, and control parameters and values. An economic term of the global value function represents the value of the power flexibility to different energy players. A user interface includes for each time interval upper and lower bounds representing respectively the maximum power that may be reduced to the virtual load and the maximum power that may be consumed by the virtual load. An energy trader modifies an energy level in a time interval relative to the reference curve for the virtual load. Automatically, energy compensation for the other intervals and recalculation of upper and lower boundaries occurs and is displayed. The energy schedule for the virtual load is distributed to the actual loads using the dispatch function.

An electro-mechanical energy conversion system coupled between an energy source and an energy load comprising an energy converter device including a doubly fed induction machine coupled between the energy source and the energy load to convert the energy from the energy source and to transfer the converted energy to the energy load and an energy transfer multiplexer to control the flow of power or energy through the doubly fed induction machine.

The present invention provides an energy load forecasting system and method based on weather big data. The system includes three modules: data acquisition, model learning and load forecasting. The main steps of the method include: firstly, according to the area where the energy load is located, the weather observation data, temperature The temperature value measured by the sensor and the temperature value of the local user's smart phone, where the weather observation data includes characteristic data such as temperature, humidity, wind, rainfall and light intensity; secondly, normalize the acquired weather data to form a weather Big data training set; then, use the XGBoost gradient boosting algorithm to extract the influence weight value of the weather data on the energy load data, and then use the LSTM neural network model to construct the energy load prediction model; finally, combined with the weather forecast data in the region, use the energy The load forecasting model predicts the energy load in the area to be forecasted. The invention effectively improves the traditional energy load single time series analysis method and improves the energy load prediction accuracy.

Systems and methods for faster, safer and lower cost means of interconnecting local generation or power monitoring systems to a residential or commercial electric power system so that the connection is made via a direct connection to the power meter socket on the consumer side of the meter. The breaker for the system is collocated with the interconnection. Further modern energy management system typically require measurement of an entire premise's power and energy load, requiring additional power measurement probes and communications wiring. Instead of being connected to a new, upgraded breaker in the main service panel on the consumer side of the meter which often requires extensive and time consuming work to do as well as additional potential complications, embodiments of the invention may allow for a quick interconnection by inserting an attachment underneath the existing standardized meter for simplified power connection, measurement and communications.

A method for performing energy management for a building includes generating a stack of energy loads representative of a plurality of building energy loads. The energy loads are prioritized from highest priority energy loads to lowest priority energy loads. The prioritized energy loads are then compared to a building power threshold. The lowest priority energy loads are shed until a sum of remaining energy loads is equal to or less than the building power threshold. The remaining energy loads are serviced. The processes of prioritizing the energy loads, comparing the prioritized energy loads to a building power threshold, and shedding the lowest priority energy loads is repeated in response to changes in circumstances affecting the building.

The invention relates to a charging and battery replacement station and a charging and battery replacement system. Bay level equipment of the system comprises a battery replacement device and a charging device. Station control level equipment comprises a master control device. The master control device communicates with the battery replacement device through a first type bus and communicates with the charging device through a second type bus. The master control device is configured to control the charging device to charge an energy loaded battery and / or an electric automobile according to a received charging instruction, and / or to determine a replaceable energy loaded battery of the electric automobile according to energy loaded battery charging state information fed back by the charging device and to control the battery replacement device to replace the determined replaceable energy loaded battery to the electric automobile. The charging and battery replacement station comprises the charging and battery replacement control system. Compared with the prior art, by adoption of the charging and battery replacement control system, flexibility extension of charging and battery replacement of the charging and battery replacement station is facilitated, and electric automobile charging and battery replacement demands increasing day by day are met.

The invention discloses a resource allocation method in a multi-user cooperative relay system on the basis of power minimization. According to the method, by means of equivalent channel gain, a two-hop link in the system is converted into a virtual direct-transmission link, then the joint optimization problem related to subcarrier allocation, relay selection and power allocation is decomposed into the following three sub-problems that firstly, the number of subcarriers occupied by users is determined by means of a power minimization rule according to average channel gain and the target rate of the users; secondly, on the principle that the channel condition is optimal, the target rate of the users is taken into consideration at the same time, subcarrier allocation is carried out in the mode that the subcarriers are used for selecting the users and a relay, so that the situation that one subcarrier is allocated to multiple users is avoided, and computation complexity is reduced; thirdly, by means of combination of a water-filling algorithm and channel environment, power allocation is carried out, and the fact that the total power of the system is minimum is guaranteed. Besides, in the processes of subcarrier allocation and relay selection, energy loaded on the subcarriers is minimum, and therefore energy consumption of the system is reduced.