29results about How to "Efficient consumption" patented technology

The invention relates to the technical field of cables, in particular to a polyethylene insulating material, a preparation method thereof and a high-voltage direct-current cable. The polyethylene insulation material provided by the invention is prepared from the following preparation raw materials: 70 to 100 parts of polyethylene matrix, 0.1 to 30 parts of grafting master batch, 1 to 2 parts of cross-linking agent and oxidation inhibitor, the grafting master batch is prepared from the following raw materials: polyethylene resin, a grafting monomer and an antioxidant, wherein the grafting monomer comprises one or more of compounds with a structure as shown in a formula (I). The polyethylene insulating material provided by the invention has relatively high breakdown strength and relatively low conductivity.

The invention discloses a passive anti-impact parallel platform which comprises a movable platform, a variable damper, a variable stiffness impact isolator, a static platform, a lower ball seat, an overshoot protector and an upper ball seat, the movable platform is connected with inertial navigation equipment, the static platform is connected with a ship body, the movable platform and the static platform are connected through the variable damper and the variable stiffness impact isolator, and the upper ball seat is connected with the overshoot protector. The lower ball seat is arranged on the surface of the static platform, and the upper ball seat is arranged on the surface of the movable platform. Through the synergistic effect of the variable dampers and the variable-stiffness impact isolators, the platform can efficiently absorb and consume impact energy, the damping force of the variable dampers is increased along with the increase of displacement of the offset balance position, the response of the movable platform is effectively weakened, the movable platform is rapidly helped to recover to the balance position, and due to the multi-stage anti-vibration design of the variable-stiffness impact isolators, the damping force of the variable dampers is reduced. Therefore, when the platform is impacted, initial impact energy can be absorbed with low rigidity, then generation of large displacement is limited with higher rigidity, and the impact resistance is further improved.

The application discloses a data-driven optimal control method for a grid-connected inverter. The method comprises the following steps: constructing a DeePC optimization controller of the grid-connected inverter on the grid side; acquiring a data matrix of the grid-connected inverter in a preset historical period and an initial trajectory after a preset adjacent period, inputting the controller, setting parameters for different control targets and types of the grid-connected inverter, outputting an optimal input data sequence after processing, generating a sinusoidal pulse width modulation wave signal and acting on the grid-connected inverter, and realizing data-driven optimal control. The method can automatically perceive and adapt to the dynamic characteristics of the actual power grid through real-time data-driven predictive control, can present or enhance the control behavior of the grid-constructing or grid-following inverter by modifying the cost parameters, can realize multi-mode flexible, optimal and coordinated control, has excellent dynamic response and steady-state performance, is beneficial to safe and stable operation, and improves the ability to adapt to complex and variable operating conditions and power grid strength.

The invention discloses a highway self-consistent energy system based on ammonia energy storage and an operation method of the highway self-consistent energy system, and belongs to the technical field of comprehensive energy systems. The system comprises an energy supply part, an electricity-hydrogen conversion unit, an ammonia energy storage unit, a multi-energy flow load part and a cascade energy utilization unit, the cascade energy utilization unit comprises a solid oxide fuel cell module, a micro gas turbine, a waste heat boiler and a heat storage tank; the solid oxide fuel cell module uses ammonia in an ammonia storage tank for first-stage power generation; high-temperature waste gas is guided into the micro gas turbine for second-stage power generation; medium and low temperature waste heat discharged by the micro gas turbine is captured by the waste heat boiler and stored in the heat storage tank; and heat energy in the heat storage tank is used for cold-state start preheating of the ammonia synthesis module in the ammonia energy storage unit by a start preheating loop. According to the system, energy gradient utilization of first-stage power generation, second-stage power generation and third-stage heat supply is achieved, the multi-energy flow load requirements of electricity, heat and hydrogen can be met at the same time, and the total energy efficiency, the self-consistent rate and the green low-carbon level of the system are greatly improved.

The invention relates to the technical field of heat supply systems, and provides a centralized heat supply system and a control method thereof.The centralized heat supply system comprises a centralized heat supply module and an energy module, and the energy module comprises an air heat exchange unit, a heat storage unit, a heat pump unit, a water dividing and collecting unit, a control valve set, a green power unit and a power distribution unit; the water dividing and collecting unit is connected with the air heat exchange unit, the heat storage unit and the heat pump unit and controls connection and disconnection between any two of the air heat exchange unit, the heat storage unit and the heat pump unit, the control valve set is connected with the heat pump unit, the heat storage unit and a primary network of the centralized heating module and controls connection and disconnection between any two of the heat pump unit, the heat storage unit and the centralized heating module, and a wire of the power distribution unit is connected with the green power unit and a municipal power grid. The power distribution unit supplies power to electric components of the energy module. Therefore, the central heating system can operate in the heating mode to supplement heat to the primary network and meet the heat utilization requirement of the secondary network, and can operate the heat storage mode by using the electric power generated by the green power unit in the non-heating season to realize cross-season heat storage so as to efficiently absorb renewable electric power.

The invention belongs to the field of distributed energy storage, and particularly relates to a distributed energy storage configuration method and system containing a distributed photovoltaic power distribution network. The method comprises the steps of obtaining photovoltaic output data and performing noise reduction processing, clustering the data after noise reduction to obtain each typical scene of photovoltaic output, constructing a distributed energy storage configuration double-layer model, determining constraint conditions of the model, performing solving in each typical scene to obtain a configuration result, and finally determining optimal energy storage configuration. The double-layer model comprises an upper-layer model and a lower-layer model, optimization objectives of the upper-layer model comprise minimum annual investment, operation and maintenance total cost, maximum energy storage annual average arbitrage income, minimum average voltage fluctuation and minimum daily average network loss of the power distribution network, and optimization objectives of the lower-layer model comprise minimum operation network loss and minimum abandoned light of the power distribution network. By reasonably configuring the energy storage system, the fluctuation of photovoltaic output can be smoothed, the photovoltaic consumption capability is improved, and safe and stable operation of the power distribution network is ensured.

The present application relates to the technical field of intelligent control of coal unloading machine, in particular to an intelligent coal unloading control system and method, in the present application, the environmental fusion perception unit fuses the coal pile point cloud data of the three-dimensional laser scanner and the texture information of the RGB-D camera, constructs a real-time digital twin model through hierarchical semantic segmentation, maps the coal pile surface morphology, spatial distribution and residual coal layer thickness in the stage of cleaning, the autonomous decision planning unit adopts a hierarchical optimization strategy, uses a heuristic space segmentation algorithm in the global layer to divide the coal unloading grid and plan the grab bucket, generates a spiral progressive cleaning trajectory of the adaptive cutting point based on the curvature gradient of the coal pile in the local layer, the dynamic posture adjustment unit collects the digging torque data, combines the coal pile thickness to build a coal quality hardness classification model, dynamically corrects the grab bucket cutting angle, digging depth and swing amplitude, and the closed-loop vibration suppression control unit generates a vibration suppression signal using the active damping controller of Lyapunov stability theory to achieve optimal energy consumption of the grab bucket.

The invention relates to the technical field of photovoltaic power generation power prediction. The invention provides a photovoltaic power abrupt change prediction method and a photovoltaic power abrupt change prediction system fusing space-time meteorological information. The method comprises the following steps: acquiring multi-source meteorological data of a distributed photovoltaic power station in a target area, and extracting spatio-temporal characteristics related to photovoltaic power; analyzing the space-time relevance between the photovoltaic output and the meteorological data, calculating a matching degree index, identifying the power station with the matching degree lower than the regional average level, and reconstructing the meteorological data of the power station; constructing a prediction model by adopting a long-short-term memory network, inputting reconstructed meteorological data and historical power, and dynamically updating parameters through an adaptive learning mechanism; predicting future power in a rolling manner according to a preset time step, and setting an abrupt change threshold to recognize weather abrupt change in real time; and based on a model output result, generating power probability distribution and a confidence interval by using Bayesian estimation, and optimizing a power dispatching strategy. The problems that space-time meteorological information cannot be effectively fused, the dynamic adaptability is poor and sudden change sensing is not timely in an existing photovoltaic power prediction method are solved.

The present application relates to a kind of mixed components, sludge coal-water slurry preparation system and its preparation method, which can be low-cost and efficient consumption processing of residual sludge after sewage treatment.Sludge coal-water slurry preparation system includes slurry mixing machine for mixing the coal powder and sludge slurry, slurry mixing machine is divided into coal processing device and sludge processing device 2 paths before setting respectively;Coal processing device includes crusher for crushing raw coal, vibrating screen in order according to its processing process, return device is arranged between crusher, vibrating screen for raw coal that has not passed through screen mesh hole is transported back to crusher;Sludge processing device includes slurry pulverizer for crushing sludge into sludge slurry;Produced coal-water slurry is more suitable for fluidized bed boiler combustion;Slurry preparation system before furnace can also save transportation and storage cost and its influence on surrounding environment.

The invention belongs to the technical field of rural distributed new energy power generation and comprehensive utilization of agriculture and forestry residues, and discloses a distributed green electricity coupled biomass upgrading collaborative system which comprises a new energy green electricity module, a proton exchange membrane water electrolysis module, a biomass gasification module and a synthetic natural gas module. The new energy green electricity module is respectively connected with the proton exchange membrane electrolyzed water module, the biomass gasification module and the synthetic natural gas module; the new energy green power module comprises a wind power generation system or a photovoltaic power generation system; the proton exchange membrane electrolyzed water module comprises a hydrogen outlet and an oxygen outlet, the hydrogen outlet is connected with the synthetic natural gas module, and the oxygen outlet is connected with the biomass gasification module; the biomass gasification module comprises a water outlet and a gasified gas outlet, the water outlet is connected with the proton exchange membrane electrolyzed water module, and the gasified gas outlet is connected with the synthetic natural gas module; the problems of low efficiency and resource waste in the current new energy power generation and biomass utilization process are solved.

The invention relates to the technical field of photovoltaic power generation, and provides a distributed photovoltaic short-term power generation power prediction method, system and device and a medium, and the method comprises the steps: obtaining foundation cloud picture time sequence data, historical power time sequence data and cluster distributed photovoltaic information of a target photovoltaic power station; performing feature extraction on the ground-based cloud picture time sequence data to obtain cloud picture feature time sequence data; according to the cloud picture feature time sequence data and the historical power time sequence data, performing power prediction based on a first prediction model to obtain a first prediction result; according to time-space coupling characteristic time series data obtained based on the cluster distributed photovoltaic information, the cloud coverage rate time series data and the cloud change rate time series data, performing power prediction based on a second prediction model to obtain a second prediction result; and performing weighted fusion on the first prediction result and the second prediction result to obtain a target prediction result. According to the method, the reliability, the stability and the accuracy of a short-term power prediction result in sudden-change complex meteorological scenes such as cloudy and cloudy and rainy scenes can be remarkably improved.

An inverter control apparatus 1 includes: a DC voltage input unit to which a DC voltage is input; a plurality of voltage dividing elements 21-24 provided in series between the high electric potential side line 11 and the low electric potential side line 12, to divide the DC voltage; a plurality of inverters 41 to 44 that convert the divided DC voltage into AC voltage to supply to each of a plurality of motors 51 to 54; an electric power demand information acquisition unit 70 that acquires electric power demand information of each of the motors 51 to 54; and a control unit 60 that controls the conduction state between the high electric potential side terminal and the low electric potential side terminal of each of the plurality of inverters 41 to 44, based on the electric power demand information of each of the motors 51 to 54.

The invention discloses a photovoltaic power generation power fluctuation multi-parameter forecasting method based on a multi-task one-dimensional convolutional network, and belongs to the technical field of electric power system control, and the method comprises the steps: firstly, carrying out the selection of forecasting parameters, and selecting a photovoltaic power generation power fluctuation standard deviation and fluctuation variation as the direct description of the photovoltaic power generation power fluctuation range and fluctuation rate; then, carrying out ACF, PACF and MIC time delay correlation analysis on each parameter to carry out predictability analysis on multiple parameters of photovoltaic power generation; and finally, designing a multi-task one-dimensional convolutional neural network to carry out photovoltaic power generation power fluctuation multi-parameter forecasting. According to the method, the photovoltaic power generation power fluctuation standard deviation and fluctuation variation with clear physical significance and good statistical characteristics are introduced to serve as supplements of a traditional power value, the prediction precision of parameters and time steps can be improved through the multi-task one-dimensional convolution network, photovoltaic technology development is promoted, popularization and application of renewable energy sources are promoted, and the method has a wide application prospect. And efficient consumption of photovoltaic power generation is realized.

A subway-oriented LTE-TETRA Internet gateway and implementation method belong to the field of rail transit communication equipment: including power module, main control circuit, TETRA channel machine I, TETRA channel machine II, antenna I and antenna II; the power module supplies power for the main control circuit, TETRA channel machine I and TETRA channel machine II; the main control circuit is connected with TETRA channel machine I and TETRA channel machine II respectively; the TETRA channel machine I is connected with antenna I, and the TETRA channel machine II is connected with antenna II; the main control circuit is used for interacting with the AT command of TETRA channel machine I and TETRA channel machine II, SIP signaling analysis and audio processing; TETRA channel machine I and TETRA channel machine II are used for narrowband communication; the LTE wideband and TETRA narrowband can realize interconnection and intercommunication, and the stability of communication and the operation and maintenance of equipment in the complex environment of subway can be ensured.

The invention discloses a light-storage direct-flexible low-carbon cold supply system for a public building. The light-storage direct-flexible low-carbon cold supply system comprises a power distribution part and a centralized cold station part, the power distribution part comprises a direct current bus, an alternating current bus, a distributed photovoltaic system and a distributed power storage system; the centralized cold station part comprises a variable-frequency refrigerator, a variable-frequency cooling transmission and distribution side, a variable-frequency freezing transmission and distribution side and a variable-frequency cold storage transmission and distribution side; the centralized cooling station part can realize a refrigeration mode, a cold storage mode, a cold release mode, a simultaneous supply and storage mode and a simultaneous supply and release mode; according to the invention, a refrigeration mode, a cold storage mode, a cold discharge mode, a simultaneous supply and storage mode and a simultaneous supply and discharge mode are realized, high-power motor load direct-current power utilization is realized, a power distribution system structure and a variable-frequency load structure are simplified, an electric energy conversion link is reduced, the power distribution efficiency is improved, access of distributed clean power is facilitated, and the system has strong flexible adjustment capability and is suitable for popularization and application. The distributed photovoltaic power of the field can be efficiently consumed, a municipal power grid is assisted to consume remote clean power, and safe, economical and low-carbon cold supply is achieved.

The utility model belongs to the field of chemical production, and relates to a production system combining biomass carbonization and gasification with urea synthesis, which comprises a biomass carbonization unit, a charcoal gasification unit, a water gas shift reaction unit, an ammonia synthesis unit and a urea synthesis unit which are sequentially connected in series, the biomass carbonization unit comprises a biomass carbonization furnace; the biochar gasification unit comprises a biochar gasification furnace; the water gas shift reaction unit comprises a shift reactor and is used for converting carbon monoxide and water vapor in the combustible gas 2 into hydrogen and carbon dioxide through reaction; the ammonia gas synthesis unit comprises an ammonia gas synthesis tower; and the urea synthesis unit comprises a urea synthesis tower. According to the technical scheme, in a urea synthesis unit process, the problems that equipment is blocked by tar, the urea synthesis efficiency is influenced by deposition on the surface of a catalyst and the like are effectively avoided, and the production efficiency and the yield are improved.

The invention relates to the technical field of natural medicines, in particular to a caged ketone compound extracted from yellow leaves of caulis spatholobi and a preparation method and application of the caged ketone compound. Palmitic acid is utilized to induce HepG2 cells to establish an insulin resistance model, an in-vitro glucose oxidase method is adopted to test the hypoglycemic activity of the compound, and the result shows that the caged ketone compound can remarkably increase glucose consumption in HepG2-IR cells and can improve the insulin resistance state of the HepG2-IR cells to different degrees. An in-vitro anti-proliferative activity experiment shows that the caged ketone compound has obvious anti-A549 cell proliferative activity. The invention provides an alternative compound for developing new hypoglycemic and anti-tumor drugs, which is of great significance to comprehensive development and utilization of the yellow leaves of Caulis cephalanopteris.

The invention discloses a reusable rocket landing section fuel optimal thrust adjusting method and device and a storage medium, and the method mainly comprises the steps: constructing a one-machine section energy upper limit index as a three-machine section thrust adjusting criterion; continuously iteratively calculating and adjusting the three-machine-section engine thrust virtual throttling ratio, so that the one-machine-section energy upper limit index meets a preset threshold value requirement and is as small as possible; based on the optimized virtual throttling ratio obtained through iteration, three-machine-section thrust vector space synthesis is conducted in combination with the current attitude angle of the rocket; and after three machines are converted into one machine, one-machine-section thrust vector calculation and throttling ratio amplitude limiting are carried out through iteration. According to the method, on the basis of the form of combining energy analysis and analysis iteration, by adjusting the virtual throttling ratio of engine thrust online in real time and combining thrust closed-loop control, fuel optimal thrust control in the rocket landing process can be effectively completed, and safe and accurate landing of a rocket is ensured.

This invention discloses a high-glutathione-producing engineered Escherichia coli strain and its applications, belonging to the field of biotechnology; the engineered Escherichia coli strain is named ZMGSH01F, with accession number CCTCC M 20252236; the engineered Escherichia coli strain is based on Escherichia coli BL21(DE3) as the starting strain, with gene clusters knocked out. ptsH‐ ptsI‐crr And integrate at this site glf‐glk Fusion genes, knockout gene clusters gsiA‐gsiB‐gsiC Integrate the endogenous glutathione transporter gene at this site. cycDC Knockout of γ-glutamyltransferase gene ggt Simultaneously expressing the recombinant plasmid pRSFDuet- gshAB K177E‑E275K‑V513A - ppk2 The engineered Escherichia coli strain can efficiently produce glutathione through fermentation culture using glucose, monosodium glutamate, cysteine, and glycine as substrates.

The invention provides an active control system and method for a wind and light station, and the system comprises a photovoltaic power station, a wind power station, a first protocol converter, a second protocol converter, a first integrated automatic monitoring terminal, and a second integrated automatic monitoring terminal. The wind power plant is connected with the second integrated automation monitoring terminal through the second protocol converter, the photovoltaic power station and the wind power plant are connected with the AGC / AVC background through the first protocol converter and the second protocol converter respectively, the working principle is simple, complementarity among various resources can be utilized to the maximum extent, efficient consumption of high-proportion renewable energy sources is guaranteed, and the utilization rate of the renewable energy sources is improved. Through a distributed algorithm, various types of energy sources are divided into small processing parts to be processed uniformly, so that the processing efficiency is improved, and the coordination control delay of the comprehensive energy sources is reduced.

The invention relates to a water slag vertical mill system burn-up economic operation method which specifically comprises the following steps: step 1, under the conditions of hot blast stove temperature automatic control and vertical mill stable production, adjusting the cold air adding amount of a hot blast stove to obtain a curve of the cold air adding amount and burn-up fluctuation, and step 2, under the conditions of hot blast stove temperature automatic control and vertical mill stable production, adjusting the cold air adding amount of the hot blast stove to obtain a curve of the burn-up fluctuation. And step 3, according to the field production process test, the bivariate factor change of the cold air adding amount of the hot blast stove and the bivariate factor change of the mixing backflow flue gas amount entering the mill are synthesized, and the relation curve of the bivariate factors and the burnup fluctuation is obtained. According to the scheme, the effect of reducing the burnup of the hot blast stove is achieved on the premise that no equipment or system transformation is carried out.

The invention discloses a distributed energy storage control strategy for delaying upgrading and reconstruction of power distribution equipment, relates to the technical field of energy storage, realizes effective transfer of loads by accessing distributed energy storage equipment into an outlet or a feeder line of a transformer substation of a power distribution network so as to slow down or even avoid upgrading requirements of the power distribution network, and provides a control strategy for delaying upgrading and reconstruction of the power distribution equipment in the aspect of making the control strategy. Firstly, a target function is set, namely, the transformer is prevented from being overloaded, and it is ensured that the operating apparent power of the transformer is smaller than the maximum load capacity. Meanwhile, constraint conditions are set for the charging and discharging power of the energy storage system, equality constraints describe the change of the charge state in the energy storage charging and discharging process, and inequality constraints ensure that the energy storage charge state does not exceed the set upper and lower limit values in the operation process, so that the phenomenon of over-charging and over-discharging is avoided. The distributed energy storage equipment can be effectively utilized to balance the load of the power distribution network, the actual utilization rate of the transformer is improved, upgrading and reconstruction of the power distribution equipment are delayed, and stable operation of the power grid is guaranteed.

This disclosure provides a power prediction method and system for new energy power plants based on energy storage collaborative optimization. By simultaneously collecting power, meteorological, and energy storage system operation data from the new energy power plant, and forcibly ensuring a certain proportion of energy storage features in the feature set, power prediction is deeply coupled with energy storage status. Through adaptive decomposition of the power sequence, each component is fused with a feature set containing energy storage information, providing a hierarchical and information-rich model input. The combined prediction model composed of a temporal convolutional network and a bidirectional gated recurrent unit achieves targeted prediction of different frequency fluctuation components. This disclosure provides support for stable grid operation and efficient new energy consumption, solving the problems of disconnect between the prediction model and energy storage system operation, and limited prediction accuracy.

The invention relates to the technical field of new energy and intelligent power grids, in particular to a zero-carbon building power distribution system based on a multi-port electric energy router. Comprising a multi-port electric energy router, a wind power generation system, a photovoltaic power generation system, an alternating current power grid, a monitoring and dispatching system, an energy storage device, a power distribution center, a lighting system, household appliances, a charging pile system and a hot water supply system. Information of each module can be collected in real time and communication is carried out, so that on-site energy storage and efficient consumption of clean energy are ensured. The zero-carbon building power distribution system has the capability of feeding back to the power grid when electric power is surplus and the flexibility of quickly accessing to the power grid in an extreme emergency, and the zero-carbon building power distribution system which is suitable for being used at present and has the characteristics of an alternating-current and direct-current micro-grid is developed.

The invention discloses a distributed photovoltaic and temperature control load-containing power distribution network optimization operation method. The method comprises the steps of constructing an electric heating load model and a refrigeration house model; establishing a dynamic optimal power flow model of the power distribution network of the distributed photovoltaic and temperature control load, and setting an objective function and constraint conditions; converting the dynamic optimal power flow model of the power distribution network into a second-order cone relaxation model through second-order cone relaxation; and solving the second-order cone relaxation model by adopting an improved dwarf weasel optimization algorithm to obtain a photovoltaic and temperature control load regulation and control plan. According to the invention, the problem of unbalance between photovoltaic output and load is improved, the reliability and economical efficiency of operation of the power distribution network after distributed photovoltaic access are improved, and the heating cost of users is effectively reduced. And the optimal power flow model is converted into a second-order cone programming problem, so that the solving speed of the model is improved. By improving the cat weasel algorithm, the search capability of the optimization algorithm is enhanced, and better optimization performance is achieved.

The invention discloses an energy storage converter control method based on a virtual synchronous motor. A phase-locked loop is used for extracting power grid frequency and phase information from a power grid voltage signal; actual active power and reactive power are calculated; setting reference values of active power and reactive power; controlling the current output by the inverter through a current controller according to the result of the power regulation so as to enable the output current to meet the set power requirement; performing coordinate transformation on the three-phase current, and converting the three-phase current into a current component under a dq coordinate system; and according to the current component of the dq coordinate system, the turn-on and turn-off time of an inverter switching device is controlled, so that the control of alternating current output is realized. By simulating the inertia characteristic of the synchronous generator, necessary inertia support is provided for the power grid, the fluctuation of new energy power generation is effectively inhibited, the instability of the frequency and voltage of the power grid is reduced, and the stability and reliability of the power grid are remarkably improved.

The present invention relates to the technical field of water system air conditioners, and in particular to a standardized water system air conditioner remote data acquisition system and method, comprising a screen clicking manipulator, which is used to click a water system air conditioner human-machine interaction screen according to instructions and generate a trigger signal; a learning bus repeater, which is used to receive the trigger signal and start to capture the interaction data between the water system air conditioner human-machine interaction screen and the water system air conditioner host; and a cloud data processing center, which is used to receive and process the interaction data. The present invention takes the human-machine interaction screen as a starting point, and realizes the communication protocol learning between the water system air conditioner human-machine interaction screen and the water system air conditioner host through the learning bus repeater, the screen clicking manipulator, and the cloud data processing center, simulates the water system air conditioner human-machine interaction screen to send control data to the water system air conditioner host, and then controls the reading of the water system air conditioner host status and key parameters, forming a standardized and replicable water system air conditioner parameter acquisition and centralized control solution.

The invention discloses a power evaluation method and device for gravity-electrochemistry hybrid energy storage. The method comprises the following steps: acquiring the operation number of energy storage units corresponding to gravity energy storage and the number of weight blocks which can be input; determining a power adjustment pre-estimation range of the gravity energy storage based on the commissioning quantity and the quantity of the weight blocks which can be commissioned; based on the performance parameters and historical power data of the electrochemical energy storage, determining a power adjustment estimation range of the electrochemical energy storage; and based on the topological structure of the gravity-electrochemical hybrid energy storage, combining the power adjustment estimation range of the gravity energy storage and the electrochemical energy storage, and determining the power evaluation of the gravity-electrochemical hybrid energy storage in the charge-discharge state. And the power of the gravity-electrochemical hybrid energy storage can be accurately evaluated.

The utility model discloses a kind of citric acid concentration evaporation crystallization drying devices, including citric acid pre-concentration tank, the inlet of citric acid pre-concentration tank is connected with the outlet of pre-concentration three-effect discharge pump, the outlet of citric acid pre-concentration tank is connected with the top feed inlet of one effect falling film evaporator by citric acid pre-concentration feed pump;Steam pipeline is connected with the inlet of steam jet pump by regulating valve, the outlet of steam jet pump is connected with the shell side inlet of one effect falling film evaporator;The lower portion of one effect falling film evaporator is communicated with one effect separator, and the bottom outlet of both is jointly connected the inlet of one effect discharge pump;The outlet of one effect discharge pump is connected with the top feed inlet of two effect falling film evaporator;The top outlet of one effect separator is connected with the suction port of steam jet pump and the shell side inlet of two effect falling film evaporator simultaneously.The device can improve product crystallization efficiency, shorten production cycle;Crystalline granularity is more uniform, high purity, and steam consumption is lower.