Self-optimizing control is a strategy for selecting controlled variables. It is distinguished by
the fact that an economic objective function is adopted as a selection criterion. The aim is to …

In this work, exergy analysis of cumene production plant is carried out in an integrated
environment of Aspen Plus and MATLAB. Physical exergy is calculated in Aspen Plus V. 10 …

This paper describes a procedure to find the best controlled variables in an economic sense
for the activated sludge process in a wastewater treatment plant, despite the large load …

Multiobjective optimization (MOO) has been successfully used to improve the process
design and operation, by finding trade-offs among conflicting objectives such as energy …

The dynamic response of benzene alkylation process to a set of deviations is analyzed with
Aspen Plus Dynamics. A quantitative risk assessment is developed through simulations of …

The paper presents a methodology for the quantitative assessment of sustainability applied
to the design of chemical plants. Specifically, we focus on the economic and environmental …

Cumene production is an important intermediate process for the production of phenol and
acetone. This paper discusses different modelling strategies to solve the mathematical …

In this contribution, a detailed description of a Python based application tool that enables
fast implementation of the Self-Optimizing Control (SOC) technology with the help of …

A mathematical model is developed and designed for the cumene reactor in cumene
production process in Hindustan Organic Chemicals Limited (HOCL), Kochi with improved …

A wealth of control designs and experience are available for traditional air combustion in
circulating fluidized bed (CFB) boilers. For the novel process of oxy combustion (for …