Chemical Process Optimization for Dummies

Mannino, Troy (2015) Chemical Process Optimization for Dummies. Undergraduate thesis, under the direction of Adam Smith from Chemical Engineering, The University of Mississippi.

Text Thesis - Troy Mannino.pdf Restricted to Repository staff only until 31 May 2021. Download (351kB)

Abstract

Chemical process optimization is a daunting task. The purpose of this work is to summarize and organize successful approaches which may be employed by the chemical process engineer when confronted with optimization problems. In general, optimization is making any process better; common goals are to increase the efficiency or maximize the economic potential of a process. The improvements made to a process during optimization are generally measured in terms of an objective function. Since the purpose of any industrial chemical process is to be profitable, objective functions most often have units of dollars. The objective function is dependent upon changes in decision variables, those variables over which the engineer has control. The two most common approaches to optimization of a chemical process, although generally employed simultaneously, are topological and parametric. The topological approach is concerned with the physical layout of the plant. Parametric optimization involves manipulating process variables, such as the temperatures and pressures of certain unit operations. The goals of each approach are the same: maximize the profitability of a process within the given constraints. All process optimization problems start from a base case. The base case can be a simple flow-sheet, a detailed design, or most commonly, a process that is already in operation and needs improvement. The information presented in this work is not intended for the professional in the field, but rather, for a general audience seeking to organize their thoughts regarding chemical process optimization and to provide a basis from which to confront process optimization problems.

Actions (login required)

View Item