Periodic Operation of Chemical Reactors
  • Release Date : 04 December 2012
  • Publisher : Butterworth-Heinemann
  • Categories : Technology & Engineering
  • Pages : 792 pages
  • ISBN 13 : 9780123918666
  • ISBN 10 : 0123918669
Score: 4
From 245 Ratings
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Synopsis : Periodic Operation of Chemical Reactors written by P. L. Silveston, published by Butterworth-Heinemann which was released on 04 December 2012. Download Periodic Operation of Chemical Reactors Books now! Available in PDF, EPUB, Mobi Format. This comprehensive review, prepared by 24 experts, many of whom are pioneers of the subject, brings together in one place over 40 years of research in this unique publication. This book will assist R & D specialists, research chemists, chemical engineers or process managers harnessing periodic operations to improve their process plant performance. Periodic Operation of Reactors covers process fundamentals, research equipment and methods and provides "the state of the art" for the periodic operation of many industrially important catalytic reactions. Emphasis is on experimental results, modeling and simulation. Combined reaction and separation are dealt with, including simulated moving bed chromatographic, pressure and temperature swing and circulating bed reactors. Thus, Periodic Operation of Reactors offers readers a single comprehensive source for the broad and diverse new subject. This exciting new publication is a "must have" for any professional working in chemical process research and development. A comprehensive reference on the fundamentals, development and applications of periodic operation Contributors and editors include the pioneers of the subject as well as the leading researchers in the field Covers both fundamentals and the state of the art for each operation scenario, and brings all types of periodic operation together in a single volume Discussion is focused on experimental results rather than theoretical ones; provides a rich source of experimental data, plus process models Accompanying website with modelling data