Mathematical Model for Coking Fouling in Distillation Units
| المصدر: | المجلة الجامعة |
|---|---|
| الناشر: | جامعة الزاوية - مركز البحوث والدراسات العليا |
| المؤلف الرئيسي: | Bombardelli, Clovis (Author) |
| مؤلفين آخرين: | Fiorentin, Leila D. (Co-Author), Franco, Admilson T. (Co-Author), Negrao (Co-Author), R., Cezar O. (Co-Author), Abugderah, Mabruk M. (Co-Author) |
| المجلد/العدد: | مج18, ع3 |
| محكمة: | نعم |
| الدولة: |
ليبيا |
| التاريخ الميلادي: |
2016
|
| الشهر: | أغسطس |
| الصفحات: | 125 - 149 |
| رقم MD: | 1263912 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EduSearch, EcoLink, IslamicInfo, AraBase, HumanIndex |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Coke | Thermal Cracking | Fouling | Mathematical Model
|
| رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
| المستخلص: |
Fouling thickness progress can be predicted by mathematical models when dealing with thermal equipments where previous calibration can be easily obtained. In case of heat exchangers this calibration is obtained by evaluating temperature and mass flux that result in a specific thermal resistance. However, some other process equipments used in oil industry like distillation columns and reactors do not allow such required calibration parameters. This work presents anew mathematical model to predict the growth of coke fouling specifically for these types of equipments when working at sufficiently high temperatures to produce internal thermal cracking and consequently, coke fouling. This model is based on thermal cracking chemical analysis but also considers the bursting effects of the fluid turbulence as a probabilistic mitigation factor. The first simulated application was done on a distributor of a heavy gasoil section of a vacuum distillation unit. The obtained results are presented in a graphical form showing the effect of various parameters such as temperature and fluid flow velocity on the coke fouling growth rate. The initial evaluations showed promising results, but additional tests would be needed to further validate the model effectiveness. |
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