TY - JOUR
T1 - Steady-State and Dynamic Modeling of Gas-Phase Polypropylene Processes Using Stirred-Bed Reactors
AU - Khare, Neeraj P.
AU - Lucas, Bruce
AU - Seavey, Kevin C.
AU - Liu, Y. A.
AU - Sirohi, Ashuraj
AU - Ramanathan, Sundaram
AU - Lingard, Simon
AU - Song, Yuhua
AU - Chen, Chau Chyun
PY - 2004/2/18
Y1 - 2004/2/18
N2 - This paper describes the development of a comprehensive model for the continuous gas-phase synthesis of polypropylene using stirred-bed reactors. The model considers the important issues of physical property and thermodynamic model selections, polymer properties, catalyst characterization, and reactor residence time, in addition to the traditional Ziegler-Natta polymerization kinetics. Model development involves fundamental chemical engineering principles and advanced software tools, Polymers Plus and Aspen Dynamics. We characterize a Ziegler-Natta catalyst by assuming the existence of multiple catalyst site types. The model contains a single set of kinetic and thermodynamic parameters that accurately predicts the polymer production rate, molecular weight, polydispersity index, and composition for both homopolymer and impact copolymer product grades from a large-scale commercial process. We demonstrate the application of our dynamic model and process control by comparing grade-transition strategies.
AB - This paper describes the development of a comprehensive model for the continuous gas-phase synthesis of polypropylene using stirred-bed reactors. The model considers the important issues of physical property and thermodynamic model selections, polymer properties, catalyst characterization, and reactor residence time, in addition to the traditional Ziegler-Natta polymerization kinetics. Model development involves fundamental chemical engineering principles and advanced software tools, Polymers Plus and Aspen Dynamics. We characterize a Ziegler-Natta catalyst by assuming the existence of multiple catalyst site types. The model contains a single set of kinetic and thermodynamic parameters that accurately predicts the polymer production rate, molecular weight, polydispersity index, and composition for both homopolymer and impact copolymer product grades from a large-scale commercial process. We demonstrate the application of our dynamic model and process control by comparing grade-transition strategies.
UR - http://www.scopus.com/inward/record.url?scp=1042301449&partnerID=8YFLogxK
U2 - 10.1021/ie030714t
DO - 10.1021/ie030714t
M3 - Article
AN - SCOPUS:1042301449
SN - 0888-5885
VL - 43
SP - 884
EP - 900
JO - Industrial and Engineering Chemistry Research
JF - Industrial and Engineering Chemistry Research
IS - 4
ER -