Energy Efficiency Hierarchy Evaluation Based on Data Envelopment Analysis and its Application in a Petrochemical Process

Abstract

AbstractA novel energy evaluation framework of petrochemical industrial processes based on a data envelopment analysis (DEA)‐integrated analytic hierarchy process (AHP) model is proposed. An improved AHP method is brought up based on the differences of data themselves to build fusion matrices among energy consumption data. Then the fractional DEA model is solved by the linear programming method. The integrating evaluation method can overcome the usual shortcomings of the DEA model and is also able to reflect the effectiveness of decision‐making units among different levels. A small number of such units are analyzed using the DEA model, and a multilevel integration of DEA efficiency values is disposed by the improved AHP method. The approach is firstly applied to the energy efficiency analysis of the ethylene production process in petrochemistry to improve energy consumption and efficiency.