Estimation of carbon dioxide solubility in pure water :Comparison of phase equilibria results from theWong-Sandler combining rule with artificial neural network
Publish place: 5th International Congress on Chemical Engineering
Publish Year: 1386
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,546
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICHEC05_121
تاریخ نمایه سازی: 7 بهمن 1386
Abstract:
The phase behavior of the CO2+H2O system is of importance for many industrial processes. Since it is not always possible to carry out experiments at all possible temperatures and pressures, generally thermodynamic models based on equations of state are used for estimation of VLE. In this paper, the models based upon the PR and SRK equations of state with the Wong-Sandler mixture combining rule (W-S MCR) correlated phase equilibria in CO2 + H20.In each model an interaction parameter, kij , defined by minimizing the relative error between models and experimental data. Moreover, an alternate tool, i.e. the artificial neural network (ANN) technique has been applied for estimation of solubility of carbon dioxide in water. ANN was applied to the raw data of the 105 experiments were carried out in R&D sector of Iran Behnoush Co in range of 278.15–348.15K and 0.1–1MPa for temperature and pressure respectively. In comparison of performance analysis of thermodynamic models and ANN, the relative error (RE) and R2 was studied. To sum up ANN shows the better results.
Keywords:
Authors
Kamalzade
Department of Chemical Engineering , Mohaghegh-e-Ardebily University, Ardebil, I.R.Iran
Yazdanshenas
Iran Behnoush Co, Research and Development Sector, Karaj special Rd, Tehran, I.R.Iran.
Shayesteh
Department of Chemical Engineering , Mohaghegh-e-Ardebily University, Ardebil, I.R.Iran
Heydari
Department of Chemical Engineering , Mohaghegh-e-Ardebily University, Ardebil, I.R.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 :