风力发电机组换热器性能实验数据

通过采集风力发电机组换热器产品性能试验数据，采用数学公式来计算换热器不同条件下的试验数据结果，并对试验数据质量进行检查,得出关于风力发电机组换热器换热效率的拟合公式，从而可以将不同工况的条件代入拟合公式中得出该工况下换热器的换热效率。可以用于同一换热器产品工况的试验数据换算、同换热单元不同尺寸的性能外推、不同工况的性能外推，显著提高公司换热器产品研发效率；同时可以为客户有效分析不同工况下风力发电机组的换热效率，避免因换热问题影响风力发电机组的使用，提高发电效率，为客户购买提供参考和技术支撑。1、采集数据，保持一定精度。 2、数据质量检查。确保数据真实可靠。 3、采用图表法进行性能延伸预测。换热算法: 1)、在风流流速保持不变的情况下，，控制理论温差为90℃。根据公式：T10=(T11+T12+……+T19)/9，T20=(T21+T22+……+T29)/9，T30=(T31+T32+……+T39)/9，η=(T30-T20)/(T10-T30)计算出换热效率。其中T10为热侧进口平均温度，T20为冷侧进口平均温度，T30为冷侧出口平均温度，T11~T19为热侧进口温度多次测量值，T21~T29为冷侧进口温度多次测量值，T31~T39为冷侧出口温度多次测量值，η为换热器的换热效率。 2)、根据计算出的数据，把关键点标记到坐标系可以得到，不同分流流速构成的多个关系点。 3)、连接各个相关的关系点，可以构成图线，体现一组出风力发电机组换热器性能实验数据，可以得出相应的拟合公式为流量=-0.0006温差*2+0.2403*温差+0.2746。 4)、优化数据多次求证函数，总结各点之间的关联。 4、预测。通过输入新的换热器性能数据，可以得到新的关系点，从而得出新的拟合公式。

This dataset is developed by collecting performance test data of wind turbine heat exchangers, using mathematical formulas to calculate test results under various conditions, and conducting data quality inspection to derive a fitting formula for the heat transfer efficiency of wind turbine heat exchangers. The fitting formula can be substituted with parameters of different operating conditions to obtain the heat transfer efficiency of the heat exchanger under the corresponding working mode.

This dataset can be applied to test data conversion of the same heat exchanger product under different operating conditions, performance extrapolation of heat exchange units with different dimensions, and performance extrapolation under different working conditions, which significantly improves the R&D efficiency of the company's heat exchanger products. Meanwhile, it can help customers effectively analyze the heat transfer efficiency of wind turbines under various working conditions, avoid the impact of heat transfer issues on the operation of wind turbines, enhance power generation efficiency, and provide reference and technical support for customers' purchasing decisions.

The construction procedures of this dataset are as follows:
1. Collect data with specified accuracy.
2. Conduct data quality inspection to ensure the authenticity and reliability of the collected data.
3. Use graphical method for performance extrapolation prediction. The heat transfer calculation steps are as follows:
1) When the airflow velocity is kept constant, set the theoretical temperature difference to 90°C. Calculate the heat transfer efficiency via the following formulas:
T10 = (T11 + T12 + …… + T19) / 9, T20 = (T21 + T22 + …… + T29) / 9, T30 = (T31 + T32 + …… + T39) / 9, η = (T30 - T20) / (T10 - T30)
Where T10 is the average temperature of the hot side inlet, T20 is the average temperature of the cold side inlet, T30 is the average temperature of the cold side outlet, T11~T19 are multiple measured values of the hot side inlet temperature, T21~T29 are multiple measured values of the cold side inlet temperature, T31~T39 are multiple measured values of the cold side outlet temperature, and η represents the heat transfer efficiency of the heat exchanger.
2) Mark the key points on the coordinate system based on the calculated data to obtain multiple relationship points corresponding to different airflow velocities.
3) Connect the relevant relationship points to form performance curves reflecting the experimental data of the wind turbine heat exchanger, and derive the corresponding fitting formula: Flow Rate = -0.0006 × Temperature Difference² + 0.2403 × Temperature Difference + 0.2746.
4) Optimize the data and verify the function multiple times to summarize the correlation between each point.
5. Prediction: By inputting new heat exchanger performance data, new relationship points can be obtained, thereby deriving a new fitting formula.

搜集汇总

数据集介绍

特点

该数据集为风力发电机组换热器性能实验数据，包含816条记录，每月更新，记录了换热器在不同条件下的性能试验数据，如风流流速、理论温差、多个温度测量值以及换热效率等，主要用于提升换热器产品研发效率和风力发电机组换热效率分析。