18 results about "Wind turbine design" patented technology

The invention relates to the technical field of data processing, and discloses a wind turbine generator optimization design method based on tidal current-wave-sediment coupling simulation. The method comprises the following steps: carrying out adaptive time step adjustment on marine environment data through a physical process intensity discrimination algorithm to obtain tidal current field, wave field and sediment transportation data; carrying out fluid-solid coupling calculation on the structural parameters of the wind turbine generator to obtain structural vibration response and ocean load distribution data, and predicting pile foundation scouring depth distribution; carrying out time-varying coefficient correction on the pile foundation bearing capacity parameters to obtain dynamic bearing capacity evaluation data; inputting a multi-objective optimization algorithm to obtain a Pareto optimal solution set; and obtaining a wind turbine generator optimization design scheme through engineering feasibility verification and screening. The technical problems that in existing offshore wind turbine generator design, tidal current-wave-sediment coupling simulation space-time scales are not matched, the pile foundation scouring prediction precision is insufficient, bearing capacity evaluation lacks time-varying characteristic consideration, and the multi-target optimization design capacity is insufficient are solved.

The application relates to the technical field of wind power generation, and discloses a wind turbine design method adopting a frictional tuned mass damper, which adds a frictional tuned mass damper to a man platform in a tower drum of a wind turbine, establishes a motion equation of the wind turbine after adding the frictional tuned mass damper based on a structural dynamics principle, deduces a mathematical analytic expression of a system dynamic coefficient, and obtains parameters of the frictional tuned mass damper through a system optimization theory. The application solves the problems that the prior art is difficult to realize damping through the tuned mass damper in the narrow space in the cabin or the tower drum, and the damping control effect is poor.

This invention relates to a method for calculating bimodal wave spectra for offshore wind turbine design, applicable to the field of offshore wind power generation. Ocean waves typically exist as a mixture of wind waves and swells, manifested in a bimodal wave spectrum. Addressing the issue of poor accuracy in bimodal wave spectrum calculations using conventional wave spectrum calculation methods, this invention proposes screening criteria for bimodal wave spectra and methods for handling secondary peak dispersion, based on measured wave data. It also provides a calculation method for bimodal spectra through combinations of different wave spectra. The calculation process of this invention is as follows: 1. This invention proposes screening criteria for effective measured wave data and screening criteria for bimodal wave spectra based on measured wave data; 2. It provides dimensionless sample spectra and their averaged spectra through spectral estimation methods; 3. It derives the calculation formula for bimodal spectra and the calculation method for characteristic wave elements by fitting combinations of different spectra.

The invention discloses a wind turbine generator complete machine design method, device and equipment and a storage medium, which are applied to the field of wind turbine generators, and the method comprises the following steps: determining a target optimization variable and a complete machine optimization variable of a wind turbine generator and a part optimization variable of each unit part, and constructing a complete machine parameter model based on the complete machine optimization variable and the part optimization variable; generating data of each variable in the complete machine parameter model in a preset range to construct a variable data set; calling an optimization algorithm, and under the target working condition and the constraint condition, performing optimization in the variable data set by taking target optimization variable optimization as a target to obtain a target data set; and determining target data of each variable from the target data set, and carrying out complete machine design of the wind turbine generator based on the target data. Complete machine multi-objective optimization of the wind turbine generator is achieved based on the optimization algorithm, the complete machine iteration efficiency can be improved, and a better solution scheme of complete machine design is explored through the optimization algorithm.

Figure 3.1 is a front view of the design showing a wind turbine. Figure 3.2 is a back view of the design showing a wind turbine. Figure 3.3 is a right side view of the design showing a wind turbine. Figure 3.4 is a left side view of the design showing a wind turbine. Figure 3.5 is a top view of the design showing a wind turbine. Figure 3.6 is a bottom view of the design showing a wind turbine. Figure 3.7 is a perspective view of the design showing a wind turbine.

The invention discloses a simulation method and system for checking a wind generating set based on an aircraft. The simulation method comprises the following steps: acquiring meteorological data, fan design parameters and operation data and aircraft inspection task data; inputting the meteorological data into a meteorological simulation module to obtain a first meteorological simulation wind field model; inputting the first meteorological simulation wind field model and the fan design parameters and operation data into a fan dynamic simulation module to obtain a first fan dynamic simulation model; inputting the first meteorological simulation wind field model, the first fan dynamic simulation model and the aircraft inspection task data into an aircraft control simulation module to control an aircraft to execute an inspection task so as to obtain a plurality of aircraft inspection strategy sets; and inputting the plurality of aircraft inspection strategy sets into a fan defect detection module to verify the effectiveness of the strategy sets on fan defect detection, and outputting a simulation result. According to the method, an aircraft-based fan defect inspection strategy can be optimized in the aspects of efficiency, cost, safety and the like.

The present application relates to wind power data detection technical field, specifically provide a kind of ground-based laser radar windfinder turbulence intensity correction method and device, comprising: based on the wind speed data measured at the height to be measured of ground-based laser radar windfinder determines the turbulence intensity measured at the height to be measured of ground-based laser radar windfinder;The turbulence intensity measured at the height to be measured of ground-based laser radar windfinder is corrected based on the correction coefficient obtained in advance;Wherein, the correction coefficient obtained in advance is obtained by the wind speed data measured at threshold height of ground-based laser radar windfinder and the wind speed data measured by anemometer installed on threshold height reference wind tower.This application provides technical scheme, establishes turbulence intensity correction expression relationship, further improves the accuracy level of laser radar windfinder measured turbulence, and provides reliable data guarantee for wind turbine design and wind farm planning.

This invention relates to the field of new energy management technology, and in particular to a method and system for tracing the source of green electricity consumption. The method includes the following steps: obtaining wind turbine design drawings and constructing a wind power generation model; performing wind power generation simulation based on the model to obtain wind power generation data; detecting gear meshing anomalies in the model based on the data to obtain gear meshing anomaly data; identifying bearing cracks based on the anomaly data to obtain bearing crack data; locating crack defects based on the data; designing a fatigue-resistant wind power structure based on the crack defect location; integrating the fatigue-resistant structure into the model and predicting wind power output; and generating green electricity digital certificates based on the wind power output. This invention improves the reliability of wind power structures, the accuracy of fault detection, and the credibility of green electricity traceability based on new energy management technology, comprehensively enhancing the efficiency of green electricity consumption and management transparency.

The invention is suitable for the technical field of fan design, and provides a fan airfoil optimization method and system based on a Kriging proxy model and a genetic algorithm, and the method comprises the following steps: carrying out the parameterized expression of an airfoil curve based on a classification function and shape function transformation method, and obtaining the expression of the airfoil curve; selecting sample points, calculating a power coefficient of each sample point, and constructing sample point data; based on the sample point data, constructing and training a Kriging agent model; power coefficient maximization is used as a target function, parameters and installation angles in an expression of an airfoil curve are used as design variables, constraint conditions are set, and global optimization is carried out on the basis of a Kriging agent model based on a multi-island genetic algorithm; and based on an optimization result, through comprehensive evaluation, selecting an optimal airfoil profile. According to the optimized airfoil profile, the power coefficient of the fan is remarkably improved, a systematic theoretical basis is provided for the design of the airfoil profile of the fan, and meanwhile, an effective technical support is provided for improving the aerodynamic performance of the fan.

Designs for support towers for wind turbine with or without integrated solar panels, as shown and described.

The application discloses a wind turbine design method for three wind wheels, comprising the following steps: building a wind turbine model test table in a wind tunnel test section and placing a grid at the entrance of the wind tunnel test section; setting output power collection parameters, opening the wind tunnel, collecting output power, and closing the wind tunnel; repeating the above experiment to collect power of the three wind wheel wind turbine; processing data to estimate the degree of electricity cost with the test data; estimating the cost and calculating the annual power generation of the single wind wheel wind turbine unit and the three wind wheel wind turbine unit, and comparing and evaluating the design effect of the designed three wind wheel wind turbine. The application optimizes the existing single wind wheel wind turbine, solves the problems of low power generation and large occupation area of small wind turbines by designing the three wind wheel wind turbine, solves the problems of transportation, installation and maintenance of large wind turbines, and has important engineering significance for the research on the aerodynamic characteristics of the wind turbine.

Figure 5.1 is a front view of the design showing a wind turbine. Figure 5.2 is a back view of the design showing a wind turbine. Figure 5.3 is a left side view of the design showing a wind turbine. Figure 5.4 is a right side view of the design showing a wind turbine. Figure 5.5 is a top view of the design showing a wind turbine. Figure 5.6 is a bottom view of the design showing a wind turbine. Figure 5.7 is a perspective view of the design showing a wind turbine.

Figure 4.1 is a front view of the design showing a wind turbine. Figure 4.3 is a left side view of the design showing a wind turbine. Figure 4.4 is a right side view of the design showing a wind turbine. Figure 4.5 is a top view of the design showing a wind turbine. Figure 4.6 is a bottom view of the design showing a wind turbine. Figure 4.7 is a perspective view of the design showing a wind turbine.

The invention discloses a method and system for determining a short-circuit demagnetization checking scene of a permanent magnet wind driven generator, and relates to the technical field of permanent magnet wind driven generators, and the method comprises the steps: obtaining a joint probability density function of the wind speed of a target wind field and the environment temperature; determining a plurality of candidate check scenes according to the joint probability density function; respectively calculating the output power of the permanent magnet wind driven generator after the short-circuit fault occurs in each candidate checking scene; constructing an expected value equation based on the joint probability density function and the output power; and solving the expected value equation, and determining the candidate check scene corresponding to the wind speed value and the environment temperature value satisfying the equation as a final short circuit demagnetization check scene. According to the method, the problems that the design of the permanent magnet wind driven generator is too conservative and the power density improvement is restricted due to the fact that a minimum probability scene is adopted as a checking reference in the prior art are solved, and the power density of the permanent magnet wind driven generator can be effectively improved on the premise that the overall output reliability is ensured.

The invention provides an anti-typhoon offshore wind turbine and fishery breeding collaborative layout optimization method and related equipment, and relates to the technical field of wind turbine design. The method comprises the following steps: constructing a computational domain comprising a fan group, an air domain and a sea area; based on a multiphase flow model and a turbulence model, coupling a typhoon gradient wind field and a wave spectrum in a computational domain to simulate the influence degree of a typhoon on a fan group and a sea area, and obtaining a simulation result; and determining the positions of the fan group and the culture area in the sea area based on the simulation result. According to the method, the influences of typhoons and sea waves on the sea area can be mutually coupled, the accurate simulation result is obtained, the positions of the wind turbine group and the culture area in the sea area are determined accordingly, and the ecological benefits of the culture area are maximized while the safety of the wind turbine group is guaranteed.

The invention discloses a fan performance safety margin assessment method, and relates to the technical field of wind power equipment safety assessment, the fan performance safety margin assessment method comprises the following steps: obtaining operation parameters of a fan in a preset monitoring period, and processing the operation parameters to form standardized operation parameters; presetting a margin evaluation threshold value of a performance parameter according to a fan design specification, and generating a preliminary margin evaluation sequence according to a relative deviation between the standardized operation parameter and the margin evaluation threshold value; constructing a long short-term memory network model in combination with an attention mechanism, training the long short-term memory network model by using historical fan operation parameters, inputting the preliminary margin evaluation sequence into the trained long short-term memory network model, outputting a comprehensive safety margin index, and obtaining a safety margin evaluation result; and according to a comparison result of the comprehensive safety margin index and a preset safety margin threshold value, the final performance safety level of the fan is determined. According to the method, the accuracy, the dynamic adaptability and the engineering interpretability of fan performance safety evaluation can be improved.

This application provides a method, apparatus, device, and medium for generating the adaptability of wind turbine design parameters. This application relates to the field of wind turbine design parameter adaptability evaluation. The method includes: acquiring environmental data of a target sea area; obtaining target design parameters for the wind turbine in the target sea area based on the environmental data; acquiring actual design parameters of the target wind turbine; and obtaining the adaptability of the target wind turbine in the target sea area based on the target design parameters and the actual design parameters. This method aims to improve the accuracy of generating the adaptability of wind turbine design parameters.

The application relates to the technical field of wind turbines, and discloses an offshore wind turbine modal parameter identification method, system and terminal equipment. The method comprises the following steps: obtaining acceleration response signals of an offshore wind turbine at multiple measuring points in a running state; determining a block matrix and system order of a state space model based on the acceleration response signals; performing sensitive analysis on the block matrix and system order to determine an optimal system order interval and an optimal block matrix row number interval of the offshore wind turbine; performing random subspace identification in the optimal system order interval and the optimal block matrix row number interval to generate a stability diagram containing multiple poles; and performing density peak value clustering on each pole in the stability diagram to obtain a modal parameter identification result of the offshore wind turbine in the optimal system order interval and the optimal block matrix row number interval. The method can provide an actual measurement basis for offshore wind turbine design.