Nonlinear Optimization of Chemical Processes: Efficient Solution for Large Scale Rigorous Models

Large scale nonlinear programming (NLP) has proven to be an effective framework for obtaining profit gains through optimal process design and operations in chemical engineering. The focus of both academia and industry on larger and more complicated problems requires further development of numerical algorithms which can provide improved computational efficiency. The primary purpose of this book is to develop effective problem formulations and an advanced numerical algorithms for efficient solution of these challenging problems. In this book, we develop an advanced parallel solution strategy for nonlinear programming problems. The effectiveness of this modern tool is demonstrated on a wide range of chemical problem classes including air separation unit, water network, and heat-integrated distillation columns.