74 results about "Energy dynamics" patented technology

The invention discloses a maximum power tracking method for a solar energy power supply system and the solar energy power supply unit thereof, relating to solar power generation technical field. And the method tracks the maximum power of the solar energy system by dynamic balancing. According to the method, it adds in intelligent charging-discharing mechanism to form an intelligent coordination solar energy device, comprising at least a solar panel, super capacitor, DC/DC buck-boost converter, pulse width modulation driver, storage battery, logic controller and load; and the method is characterized in that an instant power type super capacitor is connected between the solar panel and the DC/DC buck-boost converter to act as an energy dynamic balancer; it converts the electric energy produced by the solar panel into capacitor type electric energy to make the maximum power calculation, able to largely simplify calculation program, improving tracking calculation real-timeness and reliability and raising solar energy system efficiency. And the invention can be widely applied to solar LED lamps, and solar energy lamps, especially solar energy street lamps, solar traffic signal lamps, solar energy engineering lamps, etc.

The invention discloses a laser energy dynamic distribution model-based ablation depth solving method, belongs to the field of non-traditional machining, and relates to a laser maximum ablation depthsolving method based on a part surface energy dynamic distribution model during pulse laser machining. The method comprises the steps of firstly performing integration on energy distribution in a laser feeding direction according to an energy distribution equation of Gaussian pulse laser on a girdling plane, thereby obtaining an energy distribution equation of single pulse laser in a vertical feeding direction; according to geometric features of to-be-machined parts and laser machining process parameters, determining a geometric change law of a laser spot moving track and a discrete distribution feature of pulse laser, and obtaining the part surface energy dynamic distribution model during the pulse laser machining; and according to a laser ablation thermal energy balance law, giving out the laser maximum ablation depth solving method based on the part surface pulse laser energy dynamic distribution model. The method effectively solves the difficult problem of handling of a pulse laserdiscrete spot energy distribution problem, and is accurate in solving and easy in operation.

The invention provides a user-side IoT intelligent optical storage device energy dynamic allocation method, comprising the steps that user historical power consumption data are collected and uploaded to a server, and the server predicts a ultrashort-term power load based on the user historical power consumption data to obtain a user hourly power consumption; the server obtains the device information of an intelligent optical storage device through the Internet of Things and the weather information through a weather forecast API, and predicts the hourly photovoltaic generated power of the intelligent optical storage device by a photovoltaic output model algorithm or photovoltaic simulation software; the server automatically analyzes and dynamically adjusts an energy allocation strategy hourly according to the predicted hourly user power consumption and the hourly photovoltaic generated power of the intelligent optical storage device; the intelligent optical storage device acquires and updates the energy allocation strategy from the server every hour, and executes the energy allocation for the next hour according to the energy allocation strategy. The method can automatically analyze and dynamically adjust the energy allocation strategy, and can resist the instability of photovoltaic power generation and the change of the user's power consumption habit.

The invention relates to the field of X-ray energy spectrum detection and analysis through a semiconductor detector, and provides an X-ray energy spectrum detection and reconstruction analysis methodfor dual-energy CT imaging. The method can achieve the analysis of the projection information of different energy sections for image reconstruction, can achieve the multi-energy dynamic combination imaging while reducing the radiation dosage, and enlarging the dynamic range of CT system imaging. Therefore, the method comprises the steps: Step1, defining a dynamic dual-energy window for scanning imaging; Step2: carrying out the X-ray exposure and collecting and storing photo-induced charges; Step3: carrying out the grouped accumulation of the information of the photo-induced charges in a semiconductor; Step4: solving a projection result of different types of high-low energy spectrum combinations under the condition that the primary X-ray exposure is achieved, wherein the projection result is used for imaging. The method is mainly used for the X-ray energy spectrum detection occasions.

The invention provides a real-time estimation method for the flue gas energy of a hearth outlet of a thermal power generating unit boiler. The method particularly comprises the steps that 1, according to the running design discipline of the boiler, a main equipment structure parameter data bank is built, and related real-time data are read from a real-time data bank of a plant-level monitoring information system; 2, according to a working medium physical property parameter bank and a flue gas physical property parameter bank, the information of a server of the plant-level monitoring information system is combined to compute the physical property parameters of the working medium on the aerated water side and the flue gas on the wind-smoke side under the given time in a real-time mode; 3, the energy Qyq of the flue gas of the hearth outlet is obtained through a heat exchanger working medium quality and energy dynamic balance model and an exhaust gas heat loss model. The method is used for online estimation of the flue gas energy of the hearth outlet, and can also be used for online recognition of the average flue gas temperature of the hearth outlet and the as-fired coal heat value and online estimation of boiler efficiency and the like.

The invention provides a method for detecting the average temperature of hearth outlet smoke of a coal-fired power plant in real time. The method comprises the specific steps of 1 establishing a main device structure parameter database according to boiler operation design discipline and reading relevant real-time data from a real-time database of a plant-level supervisory information system; 2 calculating a given-moment steam-water-side working medium and wind-smoke-side smoke physical property parameters according to a working medium physical property parameter library, a smoke physical property parameter library and server information of the plant-level supervisory information system in a field in real time; 3 obtaining energy Qyq of the hearth outlet smoke through a heat exchanger working medium quality and energy dynamic balancing model and an exhaust smoke heat loss model; 4 establishing an ideal gas enthalpy calculating model and confirming the average temperature Tyq of the hearth outlet smoke in real time. The average temperature of the hearth outlet smoke is an important characteristic of the combustion condition, can be used for combustion state monitoring and low-nitrogen combustion optimal control and can be used for on-line identification of a coal-fired heat value and on-line estimation of boiler efficiency and the like.

The invention discloses a micro-energy network capacity optimization planning method based on an economy-environment and energy dynamic pricing double-layer game. The method comprises the following steps: designing a framework of the economy-environment and energy dynamic pricing double-layer game micro-energy network capacity optimization planning method, establishing an upper-layer environment-economy evolutionary game planning model, establishing a lower-layer energy dynamic pricing strategy master-slave game model, establishing a multi-energy conversion coupling hub model and the like. Theconflict relation between economic benefits and environmental benefits in the planning problem can be considered, meanwhile, the energy price dynamic characteristics are considered, the conflict benefits between a micro-energy network operator and a user are balanced, and the planning efficiency and economy are improved. The planning total cost can be effectively reduced, the user load peak-valley difference is balanced, the energy utilization efficiency is improved, meanwhile, emission of greenhouse gas CO2 and air pollutant NOx is reduced, and the environmental value is achieved. The methodhas the advantages of scientificity, reasonability, high applicability, good effect and the like.

The invention relates to a micro-grid energy optimization method, in particular to a micro-grid energy optimization method based on a versatile flow model. The method comprises the steps of (1) constructing a versatile flow model; (2) constructing a versatile flow digital model; and (3) conducting energy optimized management based on the versatile flow digital model, including energy static optimized management and energy dynamic optimized management. The method systematically describes the energy characteristics of energy flow in the processes of generation, conversion, transmission, storage and utilization through the unified quantitative versatile flow digital model, thereby facilitating the comprehensive energy optimized management of an energy network from the two aspects of static energy optimization and dynamic energy optimization; and meanwhile, the theory can also be used flexibly for energy unified quantitative analysis of a single device through lumped constraints. In this way, the invention achieves micro-grid multi-level fine energy management, improves the overall level of energy utilization, and ensures economic optimized operation.

The invention discloses a technology of a large-energy dynamic-compaction-treated foundation. The technology includes the specific steps of 1, construction measurement and first-time site leveling; 2, first-time local compaction, wherein the design parameters include the single compaction energy of 5,000 kN.m, the hammer weight of 250 kN, the compaction falling distance of 20 m and the each-point compaction time number of 10-12; 3, second-time site leveling; 4, second-time local compaction, wherein the design parameters include the single compaction energy of 5,000 kN.m, the hammer weight of 250 kN, the compaction falling distance of 20 m and the each-point compaction time number of 10 or above; 5, third-time site leveling; 6, first-time full compaction; 7, fourth-time site leveling; 8, second-time full compaction; 9, fifth-time site leveling; 10, vibration rolling; 11, detection. By means of the technology, the number of compaction times is decreased, the foundation treatment depth is increased, the labor cost, the machine cost and the like are saved, and the effects of the technology are particularly remarkable in original foundations formed through sand blasting and sea filling.

The invention provides a method for rapidly treating soft foundation through high vacuum densification. The method comprises the following steps: 1. respectively inserting a plastic drainage board and a vacuum well point tube into the soft foundation needing to be treated, wherein the plastic drainage board is covered by a geotextile; the upper end of the plastic drainage board is sealed by a cover; the cover is provided with a connector for connecting the cover with a hose and is connected to a vacuum-pumping system via the hose; and the vacuum well point tube is connected to the vacuum-pumping system via the hose; 2. covering the connector connecting the hose with the cover at the upper end of the plastic drainage board with clay to ensure the connector to be dense and air tight; and 3. starting the vacuum-pumping system to carry out cross densification construction combining variable energy dynamic compaction and vacuum pumping several times. The method provided by the invention has the advantages of further shortening of the construction period, saving of the construction cost, controllable quality, environment-friendliness and the like. By using the method provided by the invention, the moisture content of the soft soil can be rapidly reduced, the construction quality of the engineering can be ensured and the construction period can be shortened.

The invention discloses an energy dynamic allocation method for a maritime search and rescue wireless sensor network. The method includes the following steps: (1) encoding sensor nodes according to the distance between each sensor node and each aggregation node and initializing transmitting power of the sensor nodes, (2) using the transmitting power of the initialized sensor nodes as a set of to-be-selected solutions of follow-up optimized operation, (3) building up fitness function which is suitable for prolonging lifetime of the wireless sensor network, and (4) carrying out optimization selection operation on energy allocation of each sensor node according to a fitness function value of each solution of the energy dynamic allocation method, and basing the operation on an elite immigrant genetic method for optimizing the energy allocation of the sensor nodes. The method can utilize the high-quality solutions of an original environment to be convergent to the present optimization solutions, fully considers dynamism of environment and the nodes, effectively utilizes adaptability of the elite immigrant genetic algorithm to the dynamic environment, can be suitable for a network with high dynamism, and reduces unnecessary energy consumption.

The invention is suitable for the technical field of iron and steel energy production and information technology and provides a method for achieving decoupling of an optimization algorithm and an iron and steel enterprise energy integrated scheduling problem. The method comprises a step of establishing a unit mathematical model corresponding to unit equipment; a step of taking the overall cost optimization as an optimization object, and establishing an iron and steel enterprise energy dynamic balance and optimal scheduling mathematical model which can meet various constraint conditions; a step of designing an interface between the iron and steel enterprise energy dynamic balance and optimal scheduling mathematical model and a to-be-called optimization algorithm; a step of calling the optimization algorithm to solve an iron and steel enterprise energy dynamic balance and optimal scheduling problem; and a step of computing an iron and steel enterprise energy balance and scheduling scheme according to a chromosome of the optimal fitness value. According to the method provided by the invention, by defining a smart data structure and a decoupling flow, the optimization algorithm and a technology problem are enabled to have no direct association, and a method of calling only two interfaces of the iron and steel enterprise energy integrated scheduling problem in shared interfaces eliminates the contradiction when the standard optimization algorithm is used for solving the iron and steel enterprise energy integrated scheduling problem.

The invention discloses an MMC power operation interval optimization method based on an energy flow rule, and the method can achieve the maximum power transmission of a flexible DC power transmission(MMC-HVDC) system under an AC side fault. Firstly, fault feature analysis is carried out on an alternating current side; an energy distribution condition and an instantaneous energy fluctuation characteristic under different fault types of the alternating current side are understood, a coupling relationship between an energy dynamic process and each electrical parameter of the system is constructed, and the energy conversion rule of the flexible DC power transmission system is found, so that an MMC operation power interval is optimized based on the energy conversion rule, the analytical expression of the maximum active power transmission capability of the MMC under different fault working conditions is constructed, and the optimal energy distribution of the MMC-HVDC system is determined.