Selection of Economically Optimum Operating Conditions in Complex Distillation Systems for NGL Fractionation Processes

Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 68

This Paper With 11 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_JGT-7-1_001

تاریخ نمایه سازی: 29 آبان 1402

Abstract:

Implementation of innovative distillation systems in multicomponent distillation design is a complex task because of multitude design variables. Operating pressure is one of the most prominent and effective variables in the distillation columns, which affects capital and operating costs directly. Many heuristic and optimization based methods are presented to find optimal operating conditions of distillation columns. Since the natural gas liquids, NGL, fractionation process is a costly and an energy demand intensive process, the design and operation of these units may affect many important petrochemicals supply chain and whole natural gas processing plant. Herein a comparison has been made between an easy to use heuristic design method and a stochastic based optimization method with genetic algorithm to design the simple and complex multicomponent distillation columns sequences for NGL fractionation processes. The results demonstrate the heuristic method is faster but in complex distillation systems, is inaccurate. In the studied case of the NGL fractionation process, the calculated column pressure by a heuristic method showed up to ۴۰% different in comparisons against stochastic optimization results. This error leads to a ۳% increase of the total annual costs in the heuristic method, which may have a significant impact on the final design and change the evaluation distillation scenarios because of cumulative error effects.

Authors

Amin Tamuzi

Computer Aided Process Engineering (CAPE) Laboratory, School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran

Norollah Kasiri

Computer Aided Process Engineering (CAPE) Laboratory, School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran

Amirhossein Khalili-Garakani

Chemistry and Process Engineering Department, Niroo Research Institute, Tehran, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Cui, C., Liu, S., Sun, J., ۲۰۱۸. Optimal selection of ...
  • Long, N.V.D., Lee, M.Y., ۲۰۱۳. Design and optimization of heat ...
  • Manley, D.B., ۱۹۹۸. Thermodynamically efficient distillation: NGL fractionation. Latin American ...
  • Nezhadfard, M., Khalili-Garakani, A., Kasiri, N., ۲۰۱۸. Development of the ...
  • Shahandeh, H., Jafari, M., Kasiri, N., Ivakpour, J., ۲۰۱۵. Economic ...
  • نمایش کامل مراجع