CAJ | 학술논문

由于影响乙烯装置能耗的因素较多，有必要采用相关分析筛选与乙烯装置能效相关的因素，以确保分析的全面性与有效性。数据包络分析（DEA）作为一种非参数的效率优化分析，适用于多输入多输出系统的特点能够综合考虑乙烯能效评估中的多因素影响。输入输出指标过多或存在不当指标，则会导致 DEA 分辨率过低，需要对输入输出指标降维。为此，提出采用主元分析（PCA）降维的PCA-DEA法，并将该PCA-DEA法应用于某乙烯装置以2001～2010年的月实际生产数据为依据的能效分析中，得到比单纯选用主要指标的DEA算法和未采取PCA降维的DEA算法更好的能效分析结果。通过与单位综合能耗（SEC）对比，验证了PCA-DEA方法的有效性，为乙烯装置能效分析的准确性提供了更为实用的方法。
유우영향을희장치능모적인소교다，유필요채용상관분석사선여을희장치능효상관적인소，이학보분석적전면성여유효성。수거포락분석（DEA）작위일충비삼수적효솔우화분석，괄용우다수입다수출계통적특점능구종합고필을희능효평고중적다인소영향。수입수출지표과다혹존재불당지표，칙회도치 DEA 분변솔과저，수요대수입수출지표강유。위차，제출채용주원분석（PCA）강유적PCA-DEA법，병장해PCA-DEA법응용우모을희장치이2001～2010년적월실제생산수거위의거적능효분석중，득도비단순선용주요지표적DEA산법화미채취PCA강유적DEA산법경호적능효분석결과。통과여단위종합능모（SEC）대비，험증료PCA-DEA방법적유효성，위을희장치능효분석적준학성제공료경위실용적방법。
There are many factors influence the energy use of an ethylene plant. So it is necessary to screen the related factors with correlation analysis to ensure the comprehensiveness and effectiveness for the energy efficiency of an ethylene plant. Data envelopment analysis (DEA) is a non-parametric optimization of efficiency analysis, which would consider the multiple factors for ethylene plant. However, the improper or excessive input and output indicators would lead to the poor resolution of DEA efficiency. It needs to reduce current dimensionality of input and output indicators for energy efficiency analysis of ethylene plant. The PCA-DEA method which based on principal component analysis (PCA) is provided. Proposed PCA-DEA method applies to energy efficiency analysis of an ethylene plant with monthly production data from 2001 to 2010. More reasonable energy efficiency analysis results and more information are obtained compare with the method just selected key indicators and the method without PCA. The applicability and effectiveness of PCA-DEA have been verified by comparison to specific energy efficiency (SEC). The accuracy of energy efficiency analysis for an ethylene plant has been improved.