Publication Date:
2014-11-14
Description:
A 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. Data envelopment analysis (DEA) is widely used for energy efficiency evaluation of enterprise plants. A novel approach based on an improved analytic hierarchy process method and DEA model with linear programming is proposed and verified by real energy data of practical ethylene plants. This combination enables reducing energy consumption and improving energy efficiency in an ethylene production system.
Print ISSN:
0930-7516
Electronic ISSN:
1521-4125
Topics:
Chemistry and Pharmacology
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Process Engineering, Biotechnology, Nutrition Technology
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