Energy efficiency analysis of PTA plants based on PCA-DEACM

The method of data envelopment analysis (DEA) is a nonparametric statistical method, which is widely used in energy efficiency analysis of complex industrial process. However, there are many factors for affecting the energy efficiency, so the input and output indexes of the DEA is too much to get the low resolution of analysis results. Therefore, this paper proposes an energy efficiency analysis method based on the DEA cross model (DEACM) integrating principal component analysis (PCA) (PCA-DEACM). After using the PCA to reduce the dimensions of input and output indexes, the DEACM is used to further improve the effective resolution of decision-making units (DMUs). And the analysis results are more objective and reasonable. Finally, the proposed PCA-DEACM method is applied in energy efficiency analysis of PTA plants. By comparing with the classical DEA method and the PCA-DEA method, the validity and applicability of the PCA-DEACM is verified, which provides accurate analysis results for optimizing the operation of PTA plants.