Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes

ZhiQiang Geng, JunGen Dong, YongMing Han and QunXiong Zhu

Applied Energy, 2017, vol. 205, issue C, 465-476

Abstract: The complex chemical process is a high pollution and high energy consumption industrial process. Therefore, it is very important to analyze and evaluate the energy and environment efficiency of the complex chemical process. Data Envelopment Analysis (DEA) is used to evaluate the relative effectiveness of decision-making units (DMUs). However, the traditional DEA method usually cannot genuinely distinguish the effective and inefficient DMU due to its extreme or unreasonable weight distribution of input and output variables. Therefore, this paper proposes an energy and environment efficiency analysis method based on an improved environment DEA cross-model (DEACM) method. The inputs of the complex chemical process are divided into energy and non-energy inputs. Meanwhile, the outputs are divided into desirable and undesirable outputs. And then the energy and environment performance index (EEPI) based on the cross evaluation is used to represent the overall performance of each DMU. Moreover, the improvement direction of energy-saving and carbon emission reduction of each inefficiency DMU is quantitatively obtained based on the self-evaluation model of the improved environment DEACM. The results show that the improved environment DEACM method has a better effective discrimination than the original DEA method by analyzing the energy and environment efficiency of the ethylene production process in complex chemical processes, and it can obtain the potential of energy-saving and carbon emission reduction of ethylene plants, especially the improvement direction of inefficient DMUs to improve energy efficiency and reduce carbon emission.

Keywords: Energy-saving; Carbon emission reduction; Energy efficiency analysis; Environment DEA cross-model; Complex chemical processes (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (27)

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DOI: 10.1016/j.apenergy.2017.07.132

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