Synthesis and Operability Strategies for Computer-Aided Modular Process intensification presents state-of-the-art methodological developments and real-world applications for computer-aided process modeling, optimization and control, with a particular interest on process intensification systems. Each chapter consists of basic principles, model formulation, solution algorithm, and step-by-step implementation guidance on key procedures. Sections cover an overview on the current status of process intensification technologies, including challenges and opportunities, detail process synthesis, design and optimization, the operation of intensified processes under uncertainty, and the integration of design, operability and control. Advanced operability analysis, inherent safety analysis, and model-based control strategies developed in the community of process systems engineering are also introduced to assess process operational performance at the early design stage. – Includes a survey of recent advances in modeling, optimization and control of process intensification systems- Presents a modular synthesis approach for process design, integration and material selection in intensified process systems- Provides advanced process operability, inherent safety tactics, and model-based control analysis approaches for the evaluation of process operational performance at the conceptual design stage- Highlights a systematic framework for multiscale process design intensification integrated with operability and control- Includes real-word application examples on intensified reaction and/or separation systems with targeted cost, energy and sustainability improvements
Efstratios N Pistikopoulos & Yuhe Tian
Synthesis and Operability Strategies for Computer-Aided Modular Process Intensification [EPUB ebook]
Synthesis and Operability Strategies for Computer-Aided Modular Process Intensification [EPUB ebook]
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Language English ● Format EPUB ● ISBN 9780323898058 ● Publisher Elsevier Science ● Published 2022 ● Downloadable 3 times ● Currency EUR ● ID 8363013 ● Copy protection Adobe DRM
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