Batch chemical processes, so often employed in the pharmaceutical and agrochemical fields, differ significantly from standard continuous operations in the emphasis upon time as a critical factor in their synthesis and design.
With this inclusive guide to batch chemical processes, the author introduces the reader to key aspects in mathematical modeling of batch processes and presents techniques to overcome the computational complexity in order to yield models that are solvable in near real-time. This book demonstrates how batch processes can be analyzed, synthesized, and designed optimally using proven mathematical formulations. The text effectively demonstrates how water and energy aspects can be incorporated within the scheduling framework that seeks to capture the essence of time. It presents real-life case studies where mathematical modeling of batch plants has been successfully applied.
Introduction to Batch Processes. Modelling for Effective Solutions: Reduction of Binary Variables. Methods to Reduce Computational Time: Prediction of Time Points. Integration of Scheduling and Heat Integration: Minimization of Energy Requirements. Heat Integration in Multipurpose Batch Plants. Design and Synthesis of Heat-Integrated Batch Plants Using an Effective Technique. Simultaneous Scheduling and Water Optimization: Reduction of Effluent in Batch Facilities. Optimization of Energy and Water Use in Multipurpose Batch Plants Using an Improved Mathematical Formulation. Targeting for Long-Term Time Horizons: Water Optimization. Long-Term Heat Integration in Multipurpose Batch Plants Using Heat Storage.