摘要
生物质燃料的含水量与热电厂生产过程的安全性和机组的发电效率息息相关,因此,生物质燃料含水量的测量非常重要。文章提出了一种基于螺旋式电容传感器的木片含水量预测方法。首先,基于有限元模型和正交试验方法对电容传感器的结构进行优化;然后,根据优化结果搭建了相应的测量系统,通过测量电容传感器中木片的电容估计其含水量,从而实现生物质含水量的快速测量。通过实验得出,当样本含水量为12%~48%时,样本电容与含水量具有一阶线性关系,预测得到的样本含水量最大相对误差在5%以内。相比于平行板电容传感器,螺旋式电容传感器的灵敏度分布更加均匀,测量结果更准确。
The moisture content of the biomass is closely related to the safety of the power plant and the power generation efficiency of the unit.Therefore,it is necessary to measure the moisture content of the biomass.A helical capacitance sensor is used in this paper to predict the moisture content of wood chips.Firstly,the structure of the sensor is optimized based on the orthogonal test method using the finite element model.Then based on the optimized result,a corresponding measurement system is set up to predict the moisture content by measuring the capacitance values of the wood chips in order to realize the rapid measurement of biomass moisture content.The moisture content of the samples is between 12%and 48%during experiments.A first-order linear relationship between capacitance values and the moisture content is established.It is found that the maximum relative error between the predicted value and the reference value is within 5%.Compared with the parallel plate capacitance sensor,the sensitivity distribution of the helical capacitance sensor is more uniform and the predicted value is more accurate.
作者
李云龙
燕德国
邓永强
张文彪
韩晓娟
Li Yunlong;Yan Deguo;Deng Yongqiang;Zhang Wenbiao;Han Xiaojuan(Datang Changshan Power Plant,Songyuan 138000,China;School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
出处
《可再生能源》
CAS
北大核心
2020年第5期585-590,共6页
Renewable Energy Resources
基金
北京市自然科学基金资助项目(3162031)。
关键词
生物质
含水量测量
螺旋式电容传感器
有限元分析
biomass
moisture content measurement
helical capacitance sensor
finite element analysis
