20086 results about "Load following power plant" patented technology

A method for recharging an electric storage battery in the charging system of an electric vehicle from an electric utility power grid includes determining the length of time required to recharge the battery, determining the desired time when the recharge is to be completed, transmitting to the electric power utility the length of time required to recharge the battery and the desired time, and recharging the battery from the utility grid during a period when projected load demand is lower than peak demand and ending no later than the desired time.

This invention generally relates to automated shade systems that employ one or more algorithms to provide appropriate solar protection from direct solar penetration; reduce solar heat gain; reduce radiant surface temperatures; control penetration of the solar ray, optimize the interior natural daylighting of a structure and optimize the efficiency of interior lighting systems. The invention additionally comprises a motorized window covering, radiometers, and a central control system that uses algorithms to optimize the interior lighting of a structure. These algorithms include information such as: geodesic coordinates of a building; solar position; solar angle solar radiation; solar penetration angles; solar intensity; the measured brightness and veiling glare across a surface; time, solar altitude, solar azimuth, detected sky conditions, ASHRAE sky models, sunrise and sunset times, surface orientations of windows, incidence angles of the sun striking windows, window covering positions, minimum BTU load and solar heat gain.

A large-scale, capacitor-based electrical energy storage and distribution system capable of effectuating load-leveling during periods of peak demand on a utility, and of effectuating a cost savings associated with the purchase of electrical energy. A capacitor or multitude of capacitors may be charged with electrical energy produced by the utility, such as during periods of low demand or low cost, and discharged during periods of high electrical energy consumption or high electrical energy cost. One or more capacitors may be located at a consumer's residence or business. Alternatively, a farm of capacitors may be provided at or near a utility, or at or near a location experiencing high demand. In another embodiment, one or more capacitors may be located in or on a vehicle, such as an automobile, a truck, or a train of a light rail system.

A hydraulic fracturing system for fracturing a subterranean formation includes a power generation system, a transmission section, and an equipment load section. The power generation system includes a turbine generator that generates electricity that is used to power equipment in the equipment load section. The equipment in the equipment load section conditions and pressurizes fluid that is injected into a wellbore for fracturing the formation. The power generation and equipment load sections are distal from one another are separated by a long distance. The transmission section connects the power generation and equipment load sections, and thus spans the long distance between these sections.

The present invention provides a method and system for optimizing building energy usage. The method comprising receiving a plurality of input values associated with a building or plurality of buildings. The method then constructs a thermal and an electrical load model based on the inputs and constructs an overall energy model, the overall energy model being based on the thermal and electrical load models. The method next generates a plurality of demand models and optimizes the demand models using complex multivariate optimization techniques, wherein optimizing is based on usage data and energy rules. Finally, the method displays recommendations based on the optimized model or generating real-time, complementary control instructions based on the optimized model, the determination based on client preferences.

An interactive system for controlling the operation of an HVAC system is provide that comprises a thermostat for initiating the operation of the HVAC system in either a full capacity mode of operation or at least one reduced capacity mode of operation, and a controller for an outside condenser unit having a condenser fan motor and a compressor motor, the controller being capable of operating the compressor in a full capacity mode and at least one reduced capacity mode. The system also comprises a controller for an indoor blower unit having a blower fan motor, the controller being capable of operating the blower fan motor in a full capacity mode an at least one reduced capacity mode. The system further includes a communication means for transmitting information between the outside condenser unit controller and at least the indoor blower controller, where the information relates to the operation of the indoor blower and the outdoor condenser unit. The indoor blower controller responsively controls the operation of the blower fan motor in a full capacity mode or a reduced capacity mode based on the information received from the outdoor unit controller, and the outdoor unit controller responsively controls the operation of the compressor in a full capacity mode or a reduced capacity mode based on the information received from the indoor blower controller.

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.

An Energy and Cost Savings Calculation System is provided that automates the determination of energy and cost savings due to energy conservation measures. The system provides Multi-Variant, Non-Linear (MVNL) load forecasting techniques, energy and cost savings calculations, and Weather Ranking. The load forecasting technique may accept numerous external parameters as input. The technique may use multiple Baselines. It may also use multiple Basic Reference Periods to reduce the load forecasting error. The load forecasting technique may utilize external parameters that are updated on a daily basis, such as dry bulb temperature, dew point temperature, solar condition, and interval meter data. The technique may use Baseline Extensions to perform forecasts and Reference Period Modifications to enhance accuracy. The system may calculate energy and cost savings using Complex Rates and time-of-use (TOU) energy data. The system may rank a plurality of sources providing weather data to identify the most accurate weather data.

This invention is a server for calculating a value of a power generated by distributed power generation with a small environmental load. The server has a function of receiving power information on a distributed power-generation facility transmitted through a network from an information terminal possessed by at least one of a holder of the distributed generation facility, a power manager of the distributed generation facility, and a trader brokering power related payment of the holder of the distributed generation facility, a function of accumulating the received power information, directly inputted power information, and value information used for determining a value of the power, and an arithmetic function of calculating the value of the power from the power information and value information.In a distributed power generation management system, the value of the power generated by using natural energy is calculated and evaluated so as to expedite introduction of the generation facility using natural energy.

An operation and maintenance control point (OMCP) operates at an intermediate level in a telecommunications network between the network elements and the network management system (NMS). The OMCP reduces the processing load on the NMS, and rather than reporting symptoms, provides the NMS with suggested corrective actions to correct reported problems. The NMS executes the suggested corrective actions and compares the actual results in the network with predicted results. Feedback on the results is then provided to the OMCP to improve its analysis and provide more effective corrective actions are suggested if the problem recurs. By automatically interfacing with the NMS, which analyzes and executes the suggested corrective actions, the OMCP creates a self-engineering telecommunications network.

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.

A method and system for distributing work load in a cluster of at least two service resources. Depending upon the configuration, a service resource may be an individual process, such as a single instance of a computer game, or a node on which multiple processes are executing, such as a Server. Initial connection requests from new clients are directed to a single entry-point service resource in the cluster, called an intake. A separate intake is designated for each type of service provided by the cluster. The clients are processed in a group at the service resource currently designated as the intake to which clients initially connected, for the duration of the session. Based upon its loading, the current intake service resource determines that another service resource in the cluster should become a new intake for subsequent connection requests received from new clients. Selection of another service resource to become the new intake is based on the current work load of each resource in the cluster. All resources in the cluster are periodically informed of the resource for each service being provided that was last designated as the intake, and of the current load on each resource in the cluster. Subsequently, new clients requesting a service are directed to the newly designated intake for that service and processed on that resource for the duration of the session by those clients.

A method and system is provided for optimizing the performance of a power generation and distribution system by forecasting very short term load forecasts through the use of historical load data, demand patterns and short term load forecasts.

A hydraulic fracturing system for fracturing a subterranean formation includes a power generation system, a transmission section, and an equipment load section. The power generation system includes a turbine generator that generates electricity that is used to power equipment in the equipment load section. The equipment in the equipment load section conditions and pressurizes fluid that is injected into a wellbore for fracturing the formation. The power generation and equipment load sections are distal from one another are separated by a long distance. The transmission section connects the power generation and equipment load sections, and thus spans the long distance between these sections.

Systems, methods, and related computer program products for controlling one or more HVAC systems using a distributed arrangement of wirelessly connected sensing microsystems are described. A plurality of wirelessly communicating sensing microsystems is provided, each sensing microsystem including a temperature sensor and a processor, at least one of the sensing microsystems being coupled to an HVAC unit for control thereof. The plurality of sensing microsystems is configured to jointly carry out at least one shared computational task associated with control of the HVAC unit. Each sensing microsystem includes a power management circuit configured to determine an amount of electrical power available for dedication to the at least one shared computational task. The at least one shared computational task is apportioned among respective ones of the plurality of sensing microsystems according to the amount of electrical power determined to be available for dedication thereto at each respective sensing microsystem.

A method for schedule-based load estimation in a system including a utility energy provider and a utility energy consumer, comprises the steps of generating a near-term proposed schedule set containing at least one near-term proposed schedule for operation of power-consuming resources; monitoring energy consumption of the consumer for providing a set of historical consumption data; providing from priorly stored data a set of historical schedule data for the consumer; providing a set of historical unscheduled factors that affect the consumer's power consumption; providing a set of unscheduled factor predictions; and performing a correlation operation on the near-term proposed schedule set, the set of historical consumption data, the set of historical schedule data, the set of historical unscheduled factors, and the set of unscheduled factor predictions, for providing a respective near-term load estimate for each near-term proposed schedule in the near-term proposed schedule set.

The invention relates to a miniature power supplying system containing a plurality of distributed power supplies, and discloses an intelligent energy control system capable of controlling a microgrid by using forecast information. The intelligent control system for microgrid energy comprises a microgrid system and a control system, wherein the microgrid system comprises a power supply unit, an energy storage unit and a load unit, and the control system comprises an information collecting system and a central processing unit. The central processing unit comprises a load forecasting module, a microgrid online status estimating module, an energy forecasting module of an intermittent power supply energy forecasting and storing unit, a microgrid system analyzing module and a microgrid multiobjective optimization operation and comprehensive coordination control module. The intelligent control system for microgrid energy can control the microgrid according to the forecast information and accomplish the intelligent operation of the microgrid.

Provided is a day-ahead load reduction system based on a customer baseline load for inducing a user to efficiently manage energy consumption by applying an incentive (user compensation according to load reduction) to achieve load reduction and load decentralization. The day-ahead load reduction system based on a customer baseline load operates in connection with a provider terminal and a user terminal through a network to induce a reduction in the load of a user and includes an AMI / AMR translator collecting load profile data of the user in real time, converting the load profile data and storing the load profile data in a meter data warehouse; a meter data management system monitoring and analyzing the load profile data stored in the meter data warehouse in real time; a demand response operation system managing the demand of the user by using the load profile data and performing overall management, analysis and verification of a day-ahead load reduction event; a customer energy management system operating in connection with the demand response operation system and providing information on the load to the user through the user terminal in real time to allow the user to control the load; and an account system operating in connection with the demand response operation system and the customer energy management system, calculating an incentive for the day-ahead load reduction event and notifying a provider and the user of the incentive through the provider terminal and the user terminal.

The invention discloses a power system load modelling method, including the steps that: A, load classification based on daily active load curve; B, load modelling based on statistic synthesis method; C, load model parameter sensitivity analysis and range analysis based on simulation analysis; D, load model parameter node identification based on genetic algorithm, namely node identification is carried out by taking fitted local disturbance data as target, setting low sensitivity parameter value as statistic synthesis method surveying parameter value and adopting the genetic algorithm, so as to obtain multiple groups of load model parameters; E, load model parameter wide area check based on WAMS, namely load model parameter check is carried out by taking the multiple groups of solutions identified by node as initial value and taking accurate fitting on system wide area dynamic characteristic as target, so as to obtain unique solution capable of reflecting wide area dynamic characteristic when system is subject to disturbance. The invention solves the problems of multiple solutions and identifiability of overall measuring identifying method by load point classification and load model parameter aggregation and has popularization and application values.

An operation management apparatus includes an air conditioning thermal load prediction unit configured to calculate an air conditioning thermal load predicted value indicating a predicted amount of heat required to adjust temperature to a pre-set temperature on a day-of-prediction, a power generation output prediction processing unit configured to calculate power generation output prediction data indicating a generated power obtained by a generator within the day-of-prediction, and an operation planning unit configured to prepare an air conditioning heat source operation plan, and determines a purchased power and the generated power using the power generation output prediction data to thereby prepare a power facility operation plan indicating a schedule of a power output from the purchased power source and the generator, so that the purchased power per predetermined time supplied from a purchased power source of a commercial power system becomes a target value.

A power load management system for regulating power demand from a distribution panel of a residence or building is disclosed. Load control switches placed in-line between circuit breakers of the distribution panel and the loads they control, such as a water heater, pump, AC unit etc., provide load feedback data to a load management CPU. The load management CPU monitors the load feedback data and other operational parameters for selectively switching load control switches to the open circuit state to ensure that the total load demanded does not exceed the demand limits imposed by the power source. The load management CPU includes adaptive algorithms to automatically prioritize loads based on user and utility applied weighting factors, and patterns of loading based on time and date.

Methods and systems are provided for realizing energy cost savings through load shifting utilizing a battery bank that may serve as a battery back-up on a premises for providing power in the event of a grid power outage or curtailment. A budget of unreserved cycles of battery charging and discharging is determined, taking into account the rated battery life in terms of both time (e.g., years) and number of cycles. That cycle budget is allocated to days of the year identified as days on which the greatest savings can be realized through load shifting. These days are identified by taking into account the peak and off-peak usage rates applicable on those days, any rate tiers that may be entered as a result of the additional energy expended to load shift, and the round trip efficiency of the charge / discharge cycles. Load shifting is executed in accordance with an established schedule of the identified days, by discharging the batteries during peak usage hours and charging the batteries during off-peak periods. In the event the budget of unreserved cycles exceeds the number of profitable days for load shifting, the depth of discharge on each cycle may be increased to realize greater savings on the scheduled days, at the tolerable cost of losing cycles not expected to be used in any event.

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 part load method controls delivery of diluent fluid, fuel fluid, and oxidant fluid in thermodynamic cycles using diluent, to increase the Turbine Inlet Temperature (TIT) and thermal efficiency in part load operation above that obtained by relevant art part load operation of Brayton cycles, fogged Brayton cycles, or cycles operating with some steam delivery, or with maximum steam delivery. The part load method may control the TIT at the design level by controlling one or both of liquid and / or gaseous fluid water over a range from full load to less than 45% load. This extends operation to lower operating loads while providing higher efficiencies and lower operating costs using water, steam and / or CO2 as diluents, than in simple cycle operation.

The invention discloses a non-intrusive mode electrical load identification system and method. The load identification system comprises electrical load, a load identification terminal and a load monitoring main station; and the load identification terminal performs information interaction with the load monitoring main station through modes of optical fibers, an Ethernet and a wireless public network. The load identification terminal, by analyzing waveform characteristics of current, voltage, active power and the like of typical electrical equipment, defines different characteristic parameters based on a steady state process and a transient state process to establish a standard transient library, and then establishes an electrical load identification model by combination of the steady state and the transient state characteristic similarity of the electrical equipment. The identification system module is high in integration level, the terminal is smaller in size, the construction cost of the system is lower, the running and maintaining of the system are simple without affecting production and life of users; and the non-intrusive mode electrical load identification method can realize accurate identification of load types and running states of multiple paths of electrical equipment at the same time.

An electric power load management system and method that uses a multiplicity of remote power supplies in a controlled manner such that the aggregate system has the capacity to offset critical power company peak electric demand periods thereby preventing severe and detrimental power shortages and interruptions.

The invention relates to the technical field of photovoltaic micro-grid control, and particularly discloses a real-time coordination and control method of a photovoltaic micro-grid system. A central real-time optimal control layer and a local control layer are involved in the real-time coordination and control method. The central real-time optimal control layer collects the voltage and frequency of an AC bus of the photovoltaic micro-grid system, the charge state of a storage battery pack, the output power of photovoltaic power generation micro-sources, the output power of the storage battery pack, the output power of a super capacitor and the real-time power of a load in real time, generates a real-time coordination and control strategy and a secondary frequency modulation and scheduling plan, and issues the strategy and the plan to all local controllers. The local control layer coordinates and controls all the micro-sources in real time, and particularly achieves the scheduling plan issued by the central real-time optimal control layer. According to the real-time coordination and control method, a micro-grid central optimizing controller can manage, coordinate and control all the local controllers in a unified mode, the micro-grid can efficiently and economically run, the output power of the photovoltaic power generation unit is utilized to the maximum extent, the output power fluctuation and the tracking load change of the photovoltaic power generation unit are restrained, the running method of the micro-grid is reasonably adjusted, and energy balance is achieved.

Systems, methods, and related computer program products for controlling one or more HVAC systems using a distributed arrangement of wirelessly connected sensing microsystems are described. A plurality of wirelessly communicating sensing microsystems is provided, each sensing microsystem including a temperature sensor and a processor, at least one of the sensing microsystems being coupled to an HVAC unit for control thereof. The plurality of sensing microsystems is configured to jointly carry out at least one shared computational task associated with control of the HVAC unit. Each sensing microsystem includes a power management circuit configured to determine an amount of electrical power available for dedication to the at least one shared computational task. The at least one shared computational task is apportioned among respective ones of the plurality of sensing microsystems according to the amount of electrical power determined to be available for dedication thereto at each respective sensing microsystem.

A dimmer switch for controlling the amount of power delivered to and thus the intensity of a lighting load comprises a visual display operable to provide a visual indication representative of energy savings and usage information. The visual display may comprise a single visual indicator or a linear array of visual indicators. The visual display is illuminated in a first manner when the intensity of the lighting load is less than or equal to a predetermined eco-level intensity, and is illuminated in a second manner when the intensity of the lighting load is greater than the eco-level intensity. For example, the single visual indicator may be illuminated a first color, such as green, when the intensity of the lighting load is less than or equal to the eco-level intensity, and illuminated a second different color, such as red, when the intensity of the lighting load is greater than the eco-level intensity.