Y. A. Liu Livres

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the „Why,“ „What,“ and „How“ of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: * Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling * Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) * Improved polymer process operability and control through steady-state and dynamic simulation models * Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.

This text provides a comprehensive review of the theory and practice behind simulating and optimizing petroleum refining processes. It covers the quantitative modeling of key refinery reactions and fractionation processes, introducing essential concepts in thermodynamics and physical property predictions for hydrocarbon components. The authors, experts in the field, detail procedures and essential data needed for constructing reaction and fractionation models using commercial software. They emphasize filtering extensive refinery data and utilizing plant data to calibrate models, extending them to incorporate crucial fractionation sub-models. This foundation enables a better understanding of plant phenomena, ultimately enhancing yield, consistency, and performance. Additionally, the authors discuss applying models within the broader context of refinery planning through linear programming. Key topics include thermodynamics, physical property predictions, and the development of detailed models and workflows for atmospheric and vacuum distillation units, as well as modeling for FCC, catalytic reforming, and hydroprocessing units. Aimed at chemical and process engineers, this resource explores advanced simulation tools and techniques to support both experienced professionals and newcomers in the field.