Abstract:
With the increasing demand of polymer products, there are abundant opportunities for upstream
petrochemical industries to enhance their present capacity and deliver optimum quality products
to the downstream industries to make the whole system efficient and profitable. Currently the
market in India, predicted to have a huge demand-supply gap of Polypropylene of around 1795
KTA for 2015 on the basis of 2009, with CAGR of 13% (2005-06 to 2011-12). This large gap
must be filled by adopting a sustainable way of optimization for the existing and new plants to
meet the goals of high efficiency and profitability with minimum energy usage and waste
generation. With the advent of computers and simulating software like AS1EN PLUS® it is
possible to design and optimize a particular process. Proper design can significantly reduce
production cost as well as provide make the process safe and reduce environmental hazards. The
materials, unit operations and processes involved are identified and steady state simulation is
done. Each unit is taken into consideration and some variables are optimized to give better yield
and energy efficiency. The model considers the important issues of physical property and
thermodynamic model selections, polymer properties, and catalyst characterization, in addition to
the traditional Ziegler-Natta polymerization kinetics. This Model development involves basic
chemical engineering principles and improved sollware tools, Polymers Plus and Aspen Plus. We
consider a Ziegler-Natia catalyst with multiple catalyst sites. This steady state simulation of
Polypropylene is based on the Physical property data and design of real life plants. The results
obtained from simulation are matching with the industry for which the process is modeled with
the same operating parameters and physical property data
