Full Scale Plant Optimization in Chemical Engineering: A Practical Guide

Chemical engineers are essential for the development of any process, and there are three generally recognized methodologies: Design of Experiments (DOE), Evolutionary Operations (EVOP), and Data Mining Using Neural Networks (DM). Full Scale Plant Optimization in Chemical Engineering provides an in-depth analysis and comparison of these three methods, with a focus on EVOP, which provides experimental tools for full-scale plant optimization. The book is a useful reference for all chemists in industry, chemical engineers, pharmaceutical chemists, and process engineers.

Format: Hardback
Length: 272 pages
Publication date: 06 July 2022
Publisher: Wiley-VCH Verlag GmbH

Chemical engineers play a crucial role in the development of process development, from lab-scale to pilot-scale, for any plant. They are the keystone of subsequent efforts to scale up and improve full-scale plant processes. When approaching a new project, there are three widely recognized methodologies that are applicable in the industry: Design of Experiments (DOE), Evolutionary Operations (EVOP), and Data Mining Using Neural Networks (DM).

In Full Scale Plant Optimization in Chemical Engineering, experienced chemical engineer Živorad R. Lazi offers an in-depth analysis and comparison of these three methods in full-scale plant optimization applications. The book is designed to provide the basic principles and necessary information for a complete understanding of these three methods (DOE, EVOP, and DM). Each method is thoroughly described, with examples and simulations to illustrate their application.

Furthermore, readers will find:

A comprehensive discussion of the advantages, disadvantages, and applications of the five different EVOP methods (BEVOP, ROVOP, REVOP, QSEVOP, and SEVOP) with examples and simulations.

An overview of EVOP tools that responsible operators and engineers utilize in deciding which EVOP method is the most appropriate for a specific process type.

Particular attention is given to the simple but powerful technique of Evolutionary Operation or EVOP, which provides the experimental tools for full-scale plant optimization.

Full Scale Plant Optimization in Chemical Engineering is a valuable reference for chemical engineers, process engineers, and operations researchers involved in optimizing chemical processes. It provides a comprehensive understanding of these three methods and their applications, enabling readers to make informed decisions in their optimization efforts.

Weight: 672g
Dimension: 228 x 181 x 19 (mm)
ISBN-13: 9783527350384