Energy Efficiency Evaluation Based on Data Envelopment Analysis Integrated Analytic Hierarchy Process in Ethylene Production

Energy efficiency data from ethylene production equipment are of high dimension, dynamic and time sequential, so their evaluation is affected by many factors. Abnormal data from ethylene production are eliminated through consistency test, making the data consumption uniform to improve the comparability of data. Due to the limit of input and output data of decision making unit in data envelopment analysis (DEA), the energy efficiency data from the same technology in a certain year are disposed monthly using DEA. The DEA data of energy efficiency from the same technology are weighted and fused using analytic hierarchy process. The energy efficiency data from different technologies are evaluated by their relative effectiveness to find the direction of energy saving and consumption reduction.

The energy efficiency evaluation for ethylene production equipment could be more accurate through DEA model and AHP analyses. The procedure of the method is as follows. (1) Select energy consumption data of the same technology in different equipment and carry out data consistency test and uniform unit disposal by Eqs. (1)–(3). (2) Analyze the data of 12 months in each equipment by DEA. (3) Integrate energy consumption data by weights of AHP in 12 months. (4) Integrate monthly consumption data of the technology by weights of AHP. (5) Obtain the fusion energy consumption values of the technology per year and efficiency trends of all technologies in the latest 10 years. (6) Integrate yearly energy efficiency data by AHP, sort out, and analyze efficiency data of all technologies.Figure optionsDownload as PowerPoint slide