تحليل انرژي، اكسرژي و بهينه سازي مصرف انرژي واحد بازيابي گوگرد شركت پتروشيمي ايلام

Energy an‎d Exergy Analysis an‎d Energy consumption Optimization of SRU Plant in Ilam Petrochemical Company

مهندسي شيمي

In recent years, due to the increase in energy carrier prices an‎d the necessity to reduce environmental pollutants, attention to energy efficiency in process industries, especially in the petrochemical industry, has become increasingly important. The Sulfur Recovery Unit (SRU) is one of the high energy-consuming units in petrochemical an‎d refinery complexes, aimed at converting sulfur compounds present in gas streams into elemental sulfur. In this study, the complete process of the sulfur recovery unit at Ilam Petrochemical Complex was simulated using Aspen Plus software, an‎d the simulation results were compared an‎d validated against operational data. After ensuring the accuracy of the simulation model, an exergy analysis was conducted to determine the exergy destruction an‎d exergy efficiency of all process equipment. The results showed that the highest exergy destruction occurred in the distillation columns, which consume the most energy for heating an‎d cooling services, indicating a high potential for thermodynamic performance improvement in the system. Next, to identify the effective parameters on exergy destruction an‎d unit exergy efficiency an‎d to reduce energy consumption, a sensitivity analysis was performed on operational parameters such as temperature, pressure, an‎d flow rates. Then, two objective functions, including minimization of energy consumption an‎d minimization of exergy destruction, were defined. Optimization was carried out using the COOT metaheuristic algorithm with constraints reported by Ilam Petrochemical Company. To ensure the performance of the COOT algorithm, optimization was also performed using the Differential Evolution (DE) algorithm. Comparison of the algorithmsʹ performance showed that the greatest reduction in energy consumption was achieved by the COOT algorithm with the energy consumption objective function, resulting in annual savings of 18 billion Iranian Rials in auxiliary service consumption. Following that, the DE algorithm with the energy consumption objective function achieved annual savings of 17.8 billion Rials in auxiliary services. Regarding optimization with the exergy destruction objective function, the COOT an‎d DE algorithms yielded annual savings of 14 an‎d 15 billion Rials, respectively.

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