Abstract
Chemical production plays a key effect in energy saving and the sustainable development. However, the uncertain data has a direct impact on the production and the energy efficiency of complex chemical industries. Therefore, in order to analyze the energy structure and improve the energy efficiency of complex chemical industries, this paper proposes a novel interpretative structural model (ISM) integrated the fuzzy theory (FISM). The production data are divided into the upper limit value, the lower limit value and the most probable value based on the data fuzzification. And then energy structures and energy saving potentials in different production configurations are obtained by using the FISM. Finally, the proposed method is applied to analyze the energy structure and obtain energy saving potentials of the ethylene production process in complex chemical industries. The experimental results show that the key impact factors of influencing the ethylene production in different production configurations can be obtained to improve the energy efficiency. Moreover, compared with the benchmarking of the best production configuration, the raw materials can be saved about 10–30% and the carbon emissions can be reduced about 0.3–0.45 Ton when producing one Ton ethylene.
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