Prediction of Vapor- Liquid Equilibria Using CEOS /GE Models
Publish place: 9th National Iranian Chemical Engineering Congress
Publish Year: 1383
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,887
This Paper With 17 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
NICEC09_420
تاریخ نمایه سازی: 14 فروردین 1386
Abstract:
The present study investigates the use of different GE mixing rules models in cubic equation of state for prediction of phase behavior for multicomponent hydrocarbon systems .To predict VLE data in multicomponent symmetric and asymmetric mixtures such as systems that contain light gases (nitrogen, carbon dioxide,...) and heavy hydrocarbons, we have combined SRK equation of state with excess Gibbs energy
models. In this study, we re-examined PSRK method, which developed by Holderbuom and Gmehling for VLE data prediction. To visualize the effect of different mixing rules in predicting VLE data, Wong and Sander mixing rule were applied. New group and molecular interaction parameters in UNIFAC and W-S models were introduced. These parameters were obtained by regression the available VLE data. The results of
comparisons between applied models and experimental data are presented. These indicate that although all suggested models could provide reasonably good VLE information for the systems containing components of similar size at a wide range of temperature and pressures, but only PSRK method show minimum absolute and relative errors for both vapor and liquid compositions in asymmetric systems
Keywords:
Authors
Basirat
Department of Chemical Engineering –Shiraz University –Shiraz- Iran
Fathikalajahi
Department of Chemical Engineering –Shiraz University –Shiraz- 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 :