By
Stanislaw Sieniutycz, Warsaw University of Technology, Faculty of Chemical and Process Engineering, Poland
Stanislaw Sieniutycz, Warsaw University of Technology, Faculty of Chemical and Process Engineering, Poland
Jacek Jezowski, Rzeszow University of Technology, Poland
Description
Despite the vast research on energy optimization and process integration, there has to date been no synthesis linking these together.
This book fills the gap, presenting optimization and integration in energy and process engineering. The content is based on the current
literature and includes novel approaches developed by the authors.
Various thermal and chemical systems (heat and mass exchangers,
thermal and water networks, energy converters, recovery units, solar collectors, and separators) are considered. Thermodynamics, kinetics
and economics are used to formulate and solve problems with constraints on process rates, equipment size, environmental parameters, and
costs.
Comprehensive coverage of dynamic optimization of energy conversion systems and separation units is provided along with suitable
computational algorithms for deterministic and stochastic optimization approaches based on: nonlinear programming, dynamic programming,
variational calculus, Hamilton-Jacobi-Bellman theory, Pontryagin's maximum principles, and special methods of process integration.
Integration of heat energy and process water within a total site is shown to be a significant factor reducing production costs, in particular
costs of utilities for the chemical industry. This integration involves systematic design and optimization of heat exchangers and water
networks (HEN and WN). After presenting basic, insight-based Pinch Technology, systematic, optimization-based sequential and simultaneous
approaches to design HEN and WN are described. Special consideration is given to the HEN design problem targeting stage, in view of its
importance at various levels of system design. Selected, advanced methods for HEN synthesis and retrofit are presented. For WN design
a novel approach based on stochastic optimization is described that accounts for both grassroot and revamp design scenarios.
• Presents
a unique synthesis of energy optimization and process integration that applies scientific information from thermodynamics, kinetics,
and systems theory
• Discusses engineering applications including power generation, resource upgrading, radiation conversion and chemical
transformation, in static and dynamic systems
• Clarifies how to identify thermal and chemical constraints and incorporate them into
optimization models and solutions
Audience:
Graduate students and researchers in chemical, mechanical, materials and environmental engineering, as well as those engaged in system
theory, operation research, applied mathematics, applied physics and chemistry.
