شماره ركورد كنفرانس :
5452
عنوان مقاله :
Classification of Catalyst Deactivation Trends and Comparing Their Mathematical Models
عنوان به زبان ديگر :
Classification of Catalyst Deactivation Trends and Comparing Their Mathematical Models
پديدآورندگان :
Khorashadizadeh Mahdi mahdikhorashadi@birjandut.ac.ir Department of Chemical Engineering, Birjand University of Technology, Birjand, Iran
تعداد صفحه :
7
كليدواژه :
Deactivation trend , Modeling , Catalyst lifetime , Fischer , Tropsch Synthesis
سال انتشار :
1401
عنوان كنفرانس :
چهارمين كنفرانس بين المللي فناوري‌هاي جديد در صنايع نفت، گاز و پتروشيمي
زبان مدرك :
انگليسي
چكيده فارسي :
Reactor appears to be the heart of the petrochemical industry. One of the main factors affects its operation is catalyst. In this regard, catalyst deactivation has been a major problem leading to economic decline of the process. Hence, it must be investigated in terms of design, regeneration, and lifetime extension. Modeling deactivation trends provides valuable information during catalyst lifetime, amongst others, type of deactivation mechanisms, besides mimicking the duration. It also offers usage as an element of a control toolbox. This article classifies the deactivation trends of catalyst during Fischer-Tropsch process. Moreover, models developed to date, have been compared. Finally, the models applied to some case studies
كشور :
ايران
لينک به اين مدرک :
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