10 results about "Plant efficiency" patented technology

The present invention discloses a dual-control wind power energy storage method and system, which relates to the field of wind farm control prediction, including S1, obtaining wind farm operation logs, analyzing the wind farm operation logs to obtain past operation scenarios and operation data of corresponding scenarios; S2, obtaining wind farm deployment status, and building a wind power energy storage virtual framework in combination with the operation data of past operation scenarios and corresponding scenarios; S3, counting past power plant equipment losses, marking past power plant equipment losses into the wind power energy storage virtual framework to obtain a wind power energy storage virtual operation model; S4, predicting future operation conditions based on the wind power energy storage virtual operation model to obtain a dual-control wind power energy storage strategy. The present invention adopts a dual-control wind power energy storage method to monitor and predict wind farm operation conditions, simulate equipment losses, and then regulate the power plant to effectively improve power plant efficiency and maintain power plant safety.

The invention discloses a modular deep learning-based vertical axis wind power plant efficiency prediction system and method, and the system comprises a data acquisition module, a data preprocessing module, an aerodynamic parameter prediction module, an inter-fan aerodynamic interference capture module and an information fusion module which are connected in sequence. The aerodynamic parameter prediction module and the inter-fan aerodynamic interference capture module form a stackable deep learning network according to the number of fans in an actual wind power plant; the method comprises the following steps: acquiring vertical axis wind power plant simulation data under different parameter conditions, performing cleaning and smooth preprocessing on output aerodynamic parameter data of each fan, quickly predicting aerodynamic characteristics of the fans through a deep learning network, dynamically calculating aerodynamic interference effects among different fans, and constructing a fan aerodynamic interference model in the wind power plant. And finally, integrating output results to form a prediction result. The modularized deep learning method can give consideration to the precision and efficiency of efficiency prediction of the vertical-axis wind power plant, and is suitable for design and operation prediction of the vertical-axis wind power plant.

This invention provides an automatic optimization method, system, and device for the windward angle of a horizontal axis wind turbine, comprising the following steps: obtaining a wind turbine power fitting curve; dividing the rated active power into continuous intervals, and combining the wind turbine power fitting curve to obtain multiple continuous wind speed intervals corresponding to the rated active power; obtaining the active power-windward angle function relationship curve corresponding to each operating data interval; obtaining the yaw windward error value of the horizontal axis wind turbine to be processed; and correcting the windward angle of the horizontal axis wind turbine to be processed. This invention can reduce the power loss caused by the yaw windward error of the wind turbine, and improve the power plant efficiency and wind turbine safety and stability.

The invention discloses a garbage crane control system with an automatic weighing function. The garbage crane control system comprises a current sensor, an adjusting circuit, an ADC module, a current conversion module and a PLC module. The current sensor, the adjusting circuit and the ADC module are arranged in the traveling mechanism, and the PLC module is arranged in a power distribution control room of the garbage crane; the current sensor is used for acquiring the current of a motor in the vehicle lifting frequency converter and transmitting the current to the adjusting circuit, the adjusting circuit is used for converting the current into a voltage signal, the ADC module is used for converting the voltage signal into a digital signal, the current conversion module is used for converting the digital signal into a current signal, and the current conversion module is used for outputting the current signal. The PLC module collects the current signal output by the current conversion module and calculates the garbage weight according to the current signal. The method is more beneficial to benefit accounting and parameter regulation and control of the power plant.

The invention belongs to the technical field of process tail gas treatment, and particularly relates to a natural gas-to-ethylene glycol process tail gas treatment method which comprises the following steps: 1) enabling purge gas at the top of an esterification tower to enter an MN absorption area at the top of the esterification tower, and spraying the purge gas with methanol at 30-40 DEG C to obtain coarsely treated purge gas; and 2) feeding the roughly treated purge gas to an MN recovery tower, simultaneously conveying factory air or oxygen to the MN recovery tower, spraying methanol at 15-20 DEG C to the upper part of the MN recovery tower, maintaining the pressure in the MN recovery tower to be 0.2-0.25 MPa, and discharging the treated tail gas from the top of the MN recovery tower. The process tail gas is subjected to two-stage treatment, the MN content of the tail gas discharged from the top of the MN recovery tower is lower than 0.02%, and meanwhile, the CO2 content of the tail gas can reach 3.7%, so that efficient recovery and utilization of the MN effective gas can be guaranteed, the emission of CO2 can be increased, the energy consumption of the device can be reduced, and the efficiency of the device can be improved.

The application discloses an intelligent power plant operation efficiency evaluation method and device, and relates to the technical field of efficiency evaluation, which comprises the following steps: carrying out topology level node deployment to obtain a level evaluation topology; performing operation parameter efficiency conversion to obtain a plurality of device level efficiency vectors; performing power plant efficiency hierarchical aggregation calculation on the plurality of device level efficiency vectors based on dynamic coupling weights to output P subsystem coupling efficiency vectors; performing cross-subsystem efficiency transfer calculation on the P subsystem coupling efficiency vectors by analogy driving unit layer M unit edge nodes to obtain M unit level aggregation efficiency vectors; and performing global efficiency synthesis based on a preset loss correction model to output a level stability evaluation chain. The application solves the technical problems of lack of hierarchy and inaccurate efficiency transfer calculation in the prior art power plant efficiency evaluation, and achieves the technical effects of accurately evaluating the efficiency of each level of the power plant and improving the accuracy and stability of the efficiency evaluation.

The present application relates to fuel cell power station control technical field, disclose a kind of multi-module fuel cell power station based on efficiency power regulation method.The method first obtains power station request power P0And the minimum output power Pmin of single fuel cell power module, according to the numerical relationship of both to determine the number of opened module and initial power is divided equally;When opening 4 modules, real-time detection and comparison each module operating efficiency, calculate the difference between the highest and lowest efficiency, if the difference exceeds the set threshold, with half of the product of the divided power and the efficiency difference as the adjustment amount, increase power to high-efficiency module, reduce power to low-efficiency module, cycle adjustment until the module efficiency difference is within the set range.The present application can avoid module running below the minimum output power, expand the power range of power station, while making the efficiency of each module consistent, reducing the decay of low-efficiency module, prolonging the overall operation life of power station, solve the problem of poor efficiency and short life caused by the existing power division method.

The invention relates to a method for load control of an electrolysis plant, comprising the following steps:-determining (100) a plant load setpoint (L, P) of the electrolysis plant corresponding to a target energy supply and / or target product output of the electrolysis plant,-determining (300) a module efficiency (Ei) of each electrolysis module, -optimizing (400) a plant efficiency function of the electrolysis plant under constraints (410) to meet the plant load setpoints (L, P), the plant efficiency function having a module load setpoint (Li) of each electrolysis module as a variable and a module efficiency (Ei) as a parameter,-setting (500) the module load setpoint (Li) of each electrolysis module as a function of the optimized plant efficiency function, the optimization step (400) is carried out under the constraint (420) that any two electrolysis modules, which are supplied by the same transformer-rectifier unit and of which the alternating intermediate voltages differ from a predetermined first phase difference before rectification, should be operated at the same module load setpoint (Li), and to an electrolysis plant suitable for carrying out said method.

The invention discloses a double-control type wind power energy storage method and system, and relates to the field of wind power plant control prediction, and the method comprises the steps: S1, obtaining a wind power plant operation log, and carrying out the analysis of the wind power plant operation log, and obtaining the operation data of a previous operation scene and a corresponding scene; s2, acquiring a deployment condition of a wind power plant, and constructing a wind power energy storage virtual framework in combination with a previous operation scene and operation data of a corresponding scene; s3, counting the loss condition of the previous power plant equipment, and marking the loss condition of the previous power plant equipment into the wind power energy storage virtual framework to obtain a wind power energy storage virtual operation model; and S4, predicting a future operation condition according to the wind power energy storage virtual operation model to obtain a double-control wind power energy storage strategy. The double-control type wind power energy storage method is adopted to monitor and predict the operation condition of the wind power plant, and the equipment loss condition is simulated to regulate and control the power plant, so that the efficiency of the power plant is effectively improved, and the safety of the power plant is maintained.

The invention discloses a negative pressure energy storage method and system based on photoelectricity and wind power, and relates to the technical field of electric energy storage, and the method comprises the steps: obtaining operation logs of a photoelectricity and wind power plant, and analyzing the operation logs of the photoelectricity and wind power plant to obtain operation data of a previous photovoltaic side region, a wind power side region and an energy storage side region; constructing an efficiency module according to the running data of the photovoltaic side region, the wind power side region and the energy storage side region; the efficiency modules are coupled on the power distribution dimension, an efficiency-power mapping matrix is constructed, and a negative pressure energy storage model is obtained; obtaining operation data of the current photovoltaic side area and the current wind power side area, inputting the operation data of the current photovoltaic side area and the current wind power side area into the negative pressure energy storage model for evaluation, and obtaining an evaluation result; and monitoring the negative pressure energy storage based on photoelectricity and wind power according to the evaluation result. According to the invention, the monitoring of the photovoltaic and wind power negative pressure energy storage condition is realized, and the photovoltaic and wind power consumption capability and the power plant efficiency are improved.