105 results about "Final energy" patented technology

An ion implanter includes an ion source for generating an ion beam, an analyzer for separating unwanted components from the ion beam, a first beam transport device for transporting the ion beam through the analyzer at a first transport energy, a first deceleration stage positioned downstream of the analyzer for decelerating the ion beam from the first transport energy to a second transport energy, a beam filter positioned downstream of the first deceleration stage for separating neutral particles from the ion beam, a second beam transport device for transporting the ion beam through the beam filter at the second transport energy, a second deceleration stage positioned downstream of the beam filter for decelerating the ion beam from the second transport energy to a final energy, and a target site for supporting a target for ion implantation. The ion beam is delivered to the target site at the final energy. In a double deceleration mode, the second transport energy is greater than the final energy for highest current at low energy. In an enhanced drift mode, the second transport energy is equal to the final energy for highest beam purity at low energy.

The invention discloses an expansion planning optimization method for electricity-gas-heat integrated energy system with wind power, comprising the following steps: (1) modelling an energy center including an energy center electric input vector and a gas input vector, CHP, PTG, an initial system, a heat pump system, a power storage system, a heat storage system and an electric, thermal and gas load; (2), carrying out refined expression on the uncertainty of the wind power according to the set time period; (3), according to the modeling in step (1) and the refined expression in step (2), establishing an IES expansion optimization planning model containing wind power, and using a two-stage planning solution strategy based on scene method to obtain the final energy system expansion result. As the couple planning of the power, the gas and the heat sources can reduce the overall planning cost, the economy of the system is greatly improved, and the expansion plan combined with the local wind power access capacity and the load level has a very critical influence on the system economy.

The invention discloses an energy storage configuration method for smoothing the power fluctuation of a wind and photovoltaic power storage system. The method comprises the following steps: firstly, fixing distributive generating system composition of stored energy to be distributed, definitizing historical generating data of various distributive generating equipment of the system, and a forming distributive generating power sample, secondly, performing discrete Fourier transform to power output sample data, thirdly, fixing a stabilizing target of the power fluctuation of the distributive generating system, fourthly, fixing a theoretical value required for energy storage power, fifthly, correcting the power requirement of an energy storage battery, and fixing final energy storage power, and sixthly, fixing the capacity requirement of the energy storage battery, and accomplishing the energy storage configuration. By configuring an energy storage system, distributive power output power fluctuation is smoothed through the operation characteristics that the system can be charged and discharged of the system, and as a distributive power source is accessed to a power grid, the stable operation of the power grid is guaranteed.

The invention discloses a method for positioning a ground micro-seismic based on four-dimensional energy focusing. The method comprises the following steps of: (a) meshing an underground model by utilizing a mesh of an appointed size according to a working condition; (b) aiming at one appointed mesh, calculating the reaching time that a micro-seismic signal reaches each wave detector in the mesh; (c) adding the amplitudes of effective waves corresponding to the reaching time that the micro-seismic signal reaches each wave detector so as to obtain overlapped energy; (d) obtaining overlapped energy at different reaching time points, and homing maximum values in the overlapped energy into the appointed mesh; (e) repeating the steps (b), (c) and (d) aiming at each mesh so as to obtain a final energy spectrum of the mesh; and (f) filtering an energy value of the final energy spectrum based on a preset threshold so as to position the mesh of which the energy value is larger than the threshold as a micro-seismic effective event point.

The invention provides a remainder driving range detection method and device and a vehicle. The method comprises the following steps that the initial energy expenditure rate of the vehicle is obtained; the gear state of the vehicle and operating data of electric equipment are detected, so that a consumption rate compensation value is obtained according to the gear state and the operating data; compensation is conducted on the initial energy expenditure rate according to the consumption rate compensation value, and a final energy consumption rate of the vehicle is obtained; residual energy of abattery is obtained; a remainder driving range of the vehicle is obtained according to the final energy consumption rate and the residual energy. According to the detection method, compensation can be conducted on the energy consumption rate according to the gear state and the operating data of the electric equipment, the accuracy of the remainder driving range is increased, the reliability of the data is effectively guaranteed, and then the usability of the vehicle is improved.

The invention discloses an energy feedback method and system of a vehicle and the vehicle. The method comprises the following steps of judging whether a vehicle meets an energy feedback condition or not; if yes, obtaining a constant feedback force moment according to a rotating speed of a motor, wherein the constant feedback force moment is a constant power feedback force moment or a constant torque feedback force moment; obtaining a maximum electrical braking force moment corresponding to a maximum braking acceleration limiting value, and a maximum charging force moment corresponding to a maximum charging power of a power battery; determining a maximum energy feedback force moment according to the constant feedback force moment, the maximum electrical braking force moment and the maximum charging force moment; and obtaining the final energy feedback force moment according to an energy feedback coefficient and the maximum energy feedback force moment, and controlling the motor to perform feedback braking according to the final energy feedback force moment. Through the energy feedback method of the vehicle disclosed by the embodiment of the invention, energy feedback efficiency can be improved, further energy consumption is reduced, and pollutant discharge is reduced.

The invention discloses a wind and photovoltaic complementation generation system optimization configuration method. The method comprises steps that, correlation between wind generation and photovoltaic generation is calculated to acquire wind and photovoltaic generation output joint probability distribution; influence of a wind speed and illumination on generation and energy storage battery life factors are comprehensively considered, and an optimization function taking lowest system generation cost as a target and a load power loss rate as a constraint condition is established; twice optimization is carried out by employing an improved harmony search algorithm, a needed wind generation power value, a photovoltaic generation power value and a theoretical energy storage battery capacity value are acquired through first optimization; the wind generation power value is adjusted to be a rated wind generator power existing in a market, and the target function is re-optimized to acquire the photovoltaic generation power and a final energy storage battery capacity target value which satisfy the constraint condition. Through the wind and photovoltaic complementation generation system optimization configuration method, a convergence speed in a solution process can be accelerated, secondary optimization satisfies practical demands, the optimization result is that power supply reliability can be improved, and system establishment cost can be reduced.

A power supply comprises a thermoelectric generator, an initial energy management assembly, an electrostatic converter and a final energy management assembly. The thermoelectric generator is adapted to generate an electrical activation energy with sufficiently high voltage in response to a temperature gradient acting across the thermoelectric generator. The initial energy management assembly is connected to the thermoelectric generator and is adapted to receive and condition the electrical activation energy produced by the thermoelectric generator. The electrostatic converter is connected to the initial energy management assembly and is activatable by the electrical activation energy received therefrom and is configured to generate electrical energy in response to vibrational energy acting thereupon. The final energy management assembly is connected to the electrostatic converter and is adapted to condition the electrical energy produced thereby.

An ion implantation system (600) having a dose cup (634) located near a final energy bend of a scanned or ribbon-like ion beam of a serial ion implanter for providing an accurate ion current measurement associated with the dose of a workpiece or wafer. The system comprises an ion implanter having an ion beam source for producing a ribbon-like ion beam (602). The system further comprises an AEF system configured to filter an energy of the ribbon-like ion beam by bending the beam at a final energy bend. The AEF system further comprises an AEF dose cup associated with the AEF system and configured to measure ion beam current, the cup located substantially immediately following the final energy bend. An end station (610) downstream of the AEF system is defined by a chamber wherein a workpiece is secured in place for movement relative to the ribbon-like ion beam for implantation of ions therein. The AEF dose cup is beneficially located up stream of the end station near the final energy bend mitigating pressure variations due to outgassing from implantation operations at the workpiece. Thus, the system provides accurate ion current measurement before such gases can produce substantial quantities of neutral particles in the ion beam, generally without the need for pressure compensation. Such dosimetry measurements may also be used to affect scan velocity to ensure uniform closed loop dose control in the presence of beam current changes from the ion source and outgassing from the workpiece.

The invention relates to an energy consumption measuring method of Android mobile phone based on Intel Atom, belonging to the technical field of measuring energy consumption of mobile phone platform. The method comprises the following steps: installing a DAQ signal collector in the mobile phone and measuring the DAQ; driving DAQ in an application and acquiring real-time data; analyzing the acquired measurement value in LabVIEW program; calculating the reliability of the measurement result and displaying the measurement result. An energy consumption value is read by DAQ in the invention; the software command runs the drive program, and voltage and temperature can be measured on the plate. The LabVIEW software platform can sample the energy consumption information; the final energy consumption value is analyzed by an analysis mode; in the process of running dynamic frequency modulation code, execution frequencies of a processor and a main memory are correspondingly set by the dynamic frequency modulation technology so that the dynamic frequency modulation code segment runs on the frequency which is more helpful for saving energy to the system. The invention can be used in all systems that supply the processor and are adjusted and supported by the main memory frequency, and has good simplicity and pertinency.

The invention provides a processing method and a processing system of ultrasonic Doppler blood imaging. The method comprises steps of acquiring echo FR signals and carrying out Hilbert transform thereon to form orthogonal IQ complex signals; in slow time directions, carrying out filtering processing on the orthogonal IQ complex signals to acquire corresponding filtering transformation signal; in quick time directions, carrying out short-time Fourier transformation on the acquired filtering transformation signals so as to allow results to form frequency domain matrixes; acquiring a frequency component in each quick time direction in the current frequency domain matrixes; according to the one-dimensional related algorithm, estimating the average speed and the energy of corresponding frequency component of each line of data in the current frequency domain matrixes; and carrying out linear fitting on the average speed and the energy of corresponding frequency component in the current frequency domain matrixes and acquiring final energy and final speed used for final frequency spectrum displaying. According to the invention, by considering effects on ultrasonic signals imposed by organization attenuation, based on broadband emission, quite high resolution is provided and quality of ultrasonic images is further improved.

The invention provides a clustered building coordination capacity allocation method based on load energy efficiency evaluation, which comprises the steps of: (1), determining building parameters including building number participating in coordination control, building industry types, demand response execution capacity thereof and a regional total cut-down capacity; (2) establishing a comprehensive index system for building energy efficiency evaluation, including a building level energy efficiency system and an equipment level energy efficiency system; (3) collecting historical electricity utilization data of buildings, and carrying out building energy efficiency evaluation on electricity utilization conditions of the buildings at the last month through a fuzzy comprehensive evaluation method to obtain final energy efficiency grading results of the buildings; (4) and calculating final cut-down capacities of the buildings by adopting an allocation principle algorithm according to parameters such as energy efficiency grades, industry coefficients and demand response execution capacity of the buildings to obtain a coordination allocation scheme. The clustered building coordination capacity allocation method achieves the purposes of completing capacity cut down and scientific allocation and promoting energy efficiency enhancement of the clustered buildings.

A high-energy ion implanter includes a high-energy multi-stage linear acceleration unit that accelerates an ion beam so as to generate a high-energy ion beam, a deflection unit that changes the direction of the high-energy ion beam toward a semiconductor wafer, and a beam transportation unit that transports the deflected high-energy ion beam to the wafer. The beam transportation unit includes a beam shaper, a high-energy beam scanner, a high-energy electric field type beam collimator, and a high-energy electric field type final energy filter.

An ion source configured for integration into both existing ion implanters used in semiconductor manufacturing and emerging ion implantation platforms. The ion source in accordance with the present invention includes the following features, all of which depart from the prior art to produce a well-focused, collimated and controllable ion beam. These features include: ionizing electron beams generated external to the ionization chamber, thereby extending the emitter lifetime; 90 degree magnetic deflection of electron beams such that no line-of-sight exists between the emitter and the process gas load, and the emitter is protected from bombardment by energetic charged particles; two opposed electron beams which can be operated simultaneously or separately; and use of a deceleration lens to adjust the final energy of the electron beam, substantially without affecting electron beam generation and deflection.

The embodiment of the invention provides a method of dynamically optimizing an energy storage capacity of an optical storage micro-grid system. The method mainly comprises steps: according to forecasted photovoltaic power output and load power output, a power output curve of an energy storage battery is calculated, the maximal energy storage power value and the minimal energy storage power value of the energy storage battery in an entire sample data cycle are acquired, and an initial energy storage battery capacity for smooth fluctuation is further acquired; according to the total capacity of the energy storage battery, the minimal energy storage capacity value for emergency and the initial energy storage battery capacity for smooth fluctuation, a final energy storage capacity for emergency and the energy storage capacity for smooth fluctuation are determined. According to the embodiment of the invention, according to results of photovoltaic power generation output forecasting and load forecasting, the capacity ratio of power fluctuation for emergency and smooth grid site connection in the energy storage system is calculated, and dual effects of smoothing power fluctuation of the optical storage micro-grid system and the grid-connected sites and improving the energy storage utilization rate can be achieved.

An electron gun used in a particle beam device, for example in an electron microscope, has a relatively good brightness and may be operated under vacuum conditions which can be easily achieved (i.e., for example, at a residual pressure of about 10−6 or 10−7 mbar). The electron gun comprises an electron source having an electron emission surface. Furthermore, the electron gun comprises a first electrode configured to control a path of electrons emitted from the electron emission surface, a second electrode which is configured to suppress emissions of electrons from a side surface of the electron source and a third electrode configured to accelerate electrons emitted from the electron source to a final energy. A first voltage, a second voltage and a third voltage are adjusted to avoid any crossover of electrons emitted from the electron emission surface.

The present invention proposes a process involving the use of at least one, preferentially several non-tethered airships of at least one type, at least carrying one solar energy unit (SEU) and / or one wind energy unit (WEU) for carrying out certain airborne missions of generating a given total amount of final energy (E), whereby preferentially most of which (E1) is used for energy distribution, including airborne energy transmission by means of onboard energy transmission units (ETU), and / or storage by means of onboard, energy storage units (ESO) and supply thereof by connecting to energy devices or grids at platforms (A) or consumers (B), and whereby at least most of the remanding energy amount (E2=E−E1) is used for direct uses by said airships, such as flight assistance systems, or for other uses, such as telecommunications; The present invention also proposes distinctive features of said airships, respective platforms and energy systems associated with, different missions of airborne energy generation and distribution.

The invention relates to the technical field of energy conservation and emission reduction simulation, in particular to a multi-agent interactive deduction simulation system capable of achieving energy conservation and emission reduction for energy consumption users. The system comprises a government Agent simulation unit, an energy conservation service company Agent simulation unit, an energy consumption enterprise Agent simulation unit, a system dynamics model establishment unit and an interactive unit. According to the multi-agent system, based on the actual data, the actions of all entities such as governments, high-energy-consumption enterprises, energy conservation service companies can be actually simulated, the purpose that the coping actions and the final energy conservation and emission reduction effect of other action body Agents can be observed through the action parameters of an individual in a human-computer interaction interface adjustment system, and the technology support and a simulation deduction platform are provided for formulating a long-term energy conservation and emission reduction mechanism by the governments and taking the corresponding energy conservation and emission reduction measures by the enterprises and companies.

The invention provides a method and device for calculating influences of changes of the environment temperature on coal consumption of a coal-fired power generation unit. The method includes the steps of obtaining the temperature of air at an inlet of an air pre-heater and the temperature of smoke at the inlet of the air pre-heater at the set environment temperature T, and calculating the temperature (please see the specification) of furnace exhaust smoke according to the temperature of the air at the inlet of the air pre-heater and the temperature of the smoke at the inlet of the air pre-heater; calculating the change amount deltaq<2> of heat losses of the furnace exhaust smoke according to the temperature (please see the specification) of the furnace exhaust smoke; obtaining the backpressure based on the influences of the environment temperature on the backpressure; finding a turbine backpressure correction curve according to the backpressure, and obtaining a difference value deltaH<R> between practical heat losses H<R> at the backpressure and design heat losses H<RTHA>; calculating the total quantity deltab of the influences of the environment temperature on the coal consumption of the unit according to the change amount deltaq<2> of the heat losses of the furnace exhaust smoke and the difference value deltaH<R>. By means of the method and device, the influences of the changes of the environment temperature on the coal consumption of the coal-fired power generation unit can be quantitatively calculated, the external condition deviation can be accurately calculated, and then the final energy efficiency level of the power generation unit can be researched.

A high-energy ion implanter includes a beam generation unit that includes an ion source and a mass analyzer, a high-energy multi-stage linear acceleration unit, a high-energy beam deflection unit that changes the direction of a high-energy ion beam toward a wafer, and a beam transportation unit that transports the deflected high-energy ion beam to the wafer. The beam transportation unit includes a beam shaper, a high-energy beam scanner, a high-energy beam collimator, and a high-energy final energy filter. Further, the high-energy beam collimator is an electric field type beam collimator that collimates a scan beam while performing the acceleration and the deceleration of a high-energy beam by an electric field.

The present invention provides a high-energy ion injection device, which maintains the uniformity of injected ion density of a scanned high-energy ion beam, and improves the removability of foreign ions. The high-energy ion injection device comprises an irradiation beam generation unit, having an ion source and a quality analyzing device; a high frequency multi-segment straight line acceleration unit; a deflection unit, including a magnetic field energy analyzing device which carries out ion filtering using the momentum; an irradiation beam transmission line unit; and a substrate processing supplying unit. In the high-energy ion injection device, an electric field final energy filter which enable a high-energy scanning beam to deflect up and down through an electric field is also inserted between an electric field irradiation beam parallelizing device and a wafer, except for a magnetic quality analyzing device and an energy analyzing device used as a momentum filter, and the high frequency multi-segment straight line accelerating unit used as a speed filter.

The invention discloses a heliostat field simulation method for CSP, which comprises the following steps: 1), calculating a sunlight incidence direction at the current location according to time and geographic information; 2), generating a random point on a solar disk, and calculating an actual incidence direction at the random point according to the sunlight incidence direction; 3), according to the actual incidence direction, calculating the emergent radiation energy of each random point by using a sun-shaped model; 4), according to a meteorological radiation model, calculating the actual radiation energy after the emergent radiation energy passes through the atmosphere and enters the ground; 5), using the monte carlo method to sample the direction of each reflection ray of the heliostat; 6), according to the actual radiation energy and the directions of the reflection rays, using a micro plane reflection model to calculate the light ray energy of each reflection ray; and 7), according to the light ray energy of each reflection ray and the path length between the heliostat and a receiver, calculating energy attenuation to obtain the final energy.

The invention provides a transformer substation energy efficiency evaluation method, which comprises the following steps of: firstly, finely analyzing various factors influencing the energy efficiencyof a transformer substation, obtaining the weight of each index by adopting a method of combining an analytic hierarchy process and an expert scoring method, and constructing an expert scoring weightsystem; meanwhile, in order to avoid the contingency of data results, different substations are investigated and researched, the initial data indexes of each substation are analyzed by accessing workers in the substations, a complete initial data index system is established, and then subsequent analysis is facilitated through data standardization; and finally, calculating the correlation coefficient and the weighted correlation degree to obtain the comprehensive energy efficiency evaluation index of each transformer substation, and simply evaluating the energy efficiency level of the investigated transformer substation by comparing the values to obtain the final energy efficiency levels of specific different transformer substations. According to the method, the energy efficiency analysisand evaluation of the transformer substation are simpler and more accurate.

The invention provides an energy storage current transformer combination optimizing method based on maximum energy efficiency. The method includes the following steps: A, inputting basic data of a photovoltaic micro-grid; B, calculating the load within all sampling intervals [delta]T and the net power of photovoltaic output according to load data and photovoltaic output data in the step A; setting the required total power PC of an energy storage current transformer according to a net power value P0' obtained in the step B and associated with the charge and discharge process of an energy storage system and also according to the maximum energy storage charge and discharge power PBmax; D, calculating all current transformer combinations that meet requirements according to optional current transformer specifications and the total power of the current transformer determined in the step C; E, adopting a smart algorithm to distribute power to each current transformer combination determined in the step D within each period of time relative to each current transformer in the combination according to the net power value P0' obtained in the step B and associated with the charge and discharge process of the energy storage system and also to the configured the total power PC of the energy storage current transformer; and F, selecting the current transformer combination the loss of which is the minimum within a whole counted period of time in the step E as a final energy storage current transformer combination scheme.

The invention provides a data collection method based on a monochromator quick-scanning control system, which is used for quickly obtaining an XAFS (X-ray Absorption Fine Structure) spectrum. The method comprises the following steps of: 1, initiating the monochromator quick-scanning control system, wherein the step of setting the rotation speed w of a monochromator is performed; 2, rotating the monochromator to an initial energy point, and starting an ADC (Analog To Digital Converter); 3, making the monochromator rotate at the constant rotation speed w continuously and the ADC carry out continuous sampling at a constant speed, carrying out synchronous processing on the data collected by the ADC to obtain the XAFS spectrum, and synchronously outputting the XAFS spectrum; and 4, stopping the rotation of the monochromator after the monochromator rotates to a final energy point, and stopping the sampling of the ADC. According to the data collection method based on the monochromator quick-scanning control system, provided by the invention, the XAFS spectrum is obtained by the continuous rotation of the monochromator and the continuous sampling of the ADC, the sampling time is greatly saved, the measuring efficiency is increased, and more importantly, a time-resolved XAFS test can be carried out.

The present invention provides a high-energy ion injection device, which carries out scanning, parallelization, and filtering on high-energy ion beams through an electric field. The high-energy ion injection device (100) comprises: a high energy multi-segment straight line accelerating unit (14), which accelerates the ion beam and thereby generating the high-energy ion beam; a deflection unit (16), which carries out direction conversion on the high-energy ion beam toward a semiconductor wafer; irradiation beam transmission line unit (18), which transmits the deflected high-energy ion beam to the wafer. The irradiation beam transmission line unit (18) comprises an irradiation beam reshaper (32), a high-energy irradiation beam scanner (34), and a high-energy electric field irradiation beam parallelization device (36), and an electric field final energy filter (38).

The invention discloses an ARM instruction virtualization-based software protection energy consumption evaluation method. First, a proper and precise scheme for measuring smart phone electric quantity is designed and a testing platform is established; a comparative research is made to before and after conditions of a program using the ARM instruction virtualization protection method, and a rational testing program is designed; the testing program is operated on the smart phone and electric quantity changes of the phone during the operation of the test program is measured and recorded; data acquired by measurement is analyzed, and effects of the ARM instruction virtualization protection method to energy consumption is researched and concluded; a linear regression model is utilized to generate a linear regression equation; and energy consumption due to the use of the ARM instruction virtualization protection method can be predicted and evaluated. By the use of the method, a software developer can easily learn the effects of the employed software protection method to the energy consumption, so a great balance can be maintained between software protection strength and final energy consumption.

The invention is suitable for the technical field of energy storage, and provides an energy storage system planning method and system. The method comprises the following steps of: obtaining a relateddata curve and obtaining a spectral analysis result; selecting an energy storage control strategy according to the spectral analysis result, and carrying out energy storage capacity optimization and computation to generate an optimized energy storage capacity and an optimized power capacity; generating an original energy storage scheme and a related index according to the energy storage capacity and the power capacity; obtaining a plurality of energy storage inverters and respectively carrying out energy consumption analysis on the energy storage inverters to generate energy storage inverter energy consumption analysis results; carrying out serial-parallel design on the plurality of energy storage inverters so as to generate a plurality of alternative schemes, assessing the plurality of alternative schemes to generate an assessment result, and selecting a final design scheme from the plurality of alternative schemes according to the assessment result. According to the method and system, different pieces of related data of different application scenes are obtained to correspondingly plan energy storage systems so as to obtain final energy storage design schemes, so that the power supply reliability of power distribution networks is improved, the resource configuration of the power distribution networks is optimized and the electric energy quality is improved.