Research on Energy Consumption Analysis of Beer Brewing Process
Because there are many coterminous workshop sections in beer brewing process and the reaction mechanism is very complex, it is difficult to analyze the energy consumption. Aiming at the problem, the analysis method of energy consumption is proposed based on the production data. First, energy consumption of beer brewing process is analyzed using the data envelopment analysis (DEA). The relative efficient productive batches are obtained. Secondly, the less dimensional production data are obtained using the principal component analysis (PCA) which depresses the correlation among the variables. Finally, the energy consumption of brewing process is modeled using radial basis function neural network (RBFNN), and the energy consumption model with the minimum error is also built by adjusting the width of the radial basis function. The simulation result shows that the model can be used to analyze and predict the energy consumption of the beer brewing process effectively.
data envelopment analysis principal component analysis neural network
Jing Bai Tiecheng Pu Jisheng Xing Guocheng Niu Shuran Zhang Qiang Liu
College of Electrical and Information Engineering Beihua University Jilin, China Shenyang Energy Saving Supervision Center Shenyang, China Key Laboratory of Integrated Automation of Process Indusy, Ministry of Education Northeastern Unive
国际会议
哈尔滨
英文
182-185
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）