20014 results about "Load following power plant" patented technology

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.

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.

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.

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.

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.

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.

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.