凝析稳定装置能源效率的提高:通过火用分析进行工艺优化

A. Hajizadeh, Mohamad Mohamadi-Baghmolaei, F. Mirghaderi, R. Azin, S. Zendehboudi, Taghi Saneei, H. Rajaei, Sajjad Keshavarzian
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摘要

凝析气稳定是炼油厂和石油化工行业的常见工艺。这个过程是耗能的,因为它使用蒸馏塔和熔炉从冷凝料中分离不同的切割。本研究旨在提高某大型石化公司凝析油稳定装置的能效和防损性能。正在调查的案例是努里石化公司的凝析油稳定装置,处理568 t/h的原料凝析油。该装置包括两个蒸馏塔、两个炉、泵、热交换器和空气冷却器。本研究进行了能量和火用混合分析。首先,对仿真阶段进行验证,并进行参数敏感性分析,探索操作温度、压力等各参数对工艺性能的影响。之后,使用热力学分析确定最具影响力的变量,以进行优化和设计。采用优化方法实现最大的生产改进和能源效率。火用分析表明,该电站共耗187.4 MW;炉子占总火用破坏的79%。根据灵敏度分析结果,该工艺能耗可降低33.7 MW;这将使工厂的能耗减少18%。最佳工艺条件优于当前和设计状态(能源效率提高4.6%)。燃料气体消耗减少2.1 t/h,从而减少128 t/d的二氧化碳排放量。
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Improvement of Energy Efficiency in Gas Condensate Stabilization Unit: Process Optimization Through Exergy Analysis
Gas condensate stabilization is a common process in gas refineries and petrochemical industries. This process is energy-consuming since it uses distillation columns and furnaces to separate different cuts from the condensate feed. This study aims to improve the performance of the gas condensate stabilization unit in a large petrochemical company in terms of energy efficiency and loss prevention. The case under investigation is the gas condensate stabilization unit in the Nouri Petrochemical Company, treating 568 t/h of raw condensate feed. This plant includes two distillation columns, two furnaces, pumps, heat exchangers, and air coolers. A hybrid energy and exergy analysis is conducted in this study. First, the validation of the simulation phase is performed, and a parametric sensitivity analysis is conducted to explore the effects of various parameters, such as operating temperature and pressure, on the process performance. After that, the most influential variables are identified using thermodynamic analyses for optimization and design purposes. An optimization method is employed to attain the maximum production improvement and exergy efficiency. The exergy analysis shows 187.4 MW total exergy destruction in the plant; furnaces account for 79% of the total exergy destruction. According to the sensitivity analysis results, the energy consumption of the process could be reduced by 33.7 MW; this is an 18% reduction in the plant's energy consumption. The optimal process conditions outperform the current and design states (4.6% improvement in exergy efficiency). The fuel gas consumption is reduced by 2.1 t/h, leading to a reduction of 128 t/d CO2 emissions.
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