Problem Solving in Chemical Reactor Design

Provides up-to-date problem-solving examples in different fields of chemical reaction engineering and fills a gap in the current literature.

Autorentext
Dr. Juan A. Conesa is a distinguished Professor of Chemical Engineering at the University of Alicante, Spain. With over 30 years of experience, his research focuses on decomposition kinetics, waste degradation, and pollutant analysis under various conditions. He is particularly renowned for his work on dioxins and furans. Dr. Conesa has promoted pollution analysis, studied electronic waste decomposition, and collaborated on biofuel combustion research. He has also explored carbonaceous compound modification, graphene production, and materials for supercapacitors. Since 2015, he has led the research group "Waste, Energy, Environment and Nanotechnology (WEEN)" at the University of Alicante.

Klappentext

Extensive workbook with more than 200 up-to-date solved problems on advanced chemical reactors for deeper understanding of chemical reactor design Problem Solving in Chemical Reactor Design provides in-depth coverage of more than 200 solved complex reactor design problems extracted from core chemical engineering subject areas. The problems in this book cover the design of non-ideal, catalytic, multiphase, heterogeneous, and biochemical reactors rather than focusing on basic Chemical Reactor Engineering concepts. Each complex problem is solved using simple procedures and mathematical tools, enabling readers to better understand the correct procedure for solving problems and solve them faster, more conveniently, and more accurately. This book is inspired by more than two decades of the author's teaching experience in chemical reactor engineering. Accompanying electronic materials include spreadsheets and easily understandable Matlab® programs, which can both be downloaded from the Wiley website. Some of the topics covered in Problem Solving in Chemical Reactor Design include:

• Optimization, operation, and complexities of reactor design in the face of non-idealities such as mixing issues and residence time distributions
• Utilization of the tanks-in-series model, dispersion model, and intricate combinations of ideal reactors to elucidate the impact on conversion rates
• Signal processing within the domain of chemical reactor engineering, specifically focusing on convolution and deconvolution methodologies

• Reaction kinetics, diffusion dynamics, and catalyst efficiency in catalytic reactor design, and design of gas-catalytic and gas-liquid-solid catalyst systems in multiphase reactors Problem Solving in Chemical Reactor Design is an excellent learning resource for students and professionals in the fields of chemical engineering, pharmaceuticals, biotechnology, and fine chemistry.

  Inhalt
  PREFACE
  DEDICATION
  NOMENCLATURE

  PART1

  1. NON-IDEAL FLOW AND REACTOR CHARACTERIZATION
  2. CHEMICAL REACTION IN NON-IDEAL REACTORS
  3. TRANSFER FUNCTION IN CHEMICAL REACTORS

  PART2

  4. CONVOLUTION AND DECONVOLUTION OF SIGNALS IN CHEMICAL REACTOR ENGINEERING
  5. PARTIAL DIFFERENTIAL EQUATIONS IN CHEMICAL REACTOR ENGINEERING. UNSTEADY STATE

  PART3

  6. REACTION RATE ON CATALYTIC PROCESSES
  7. CATALYTIC REACTOR DESIGN
  8. MULTIPHASE REACTOR DESIGN

  PART4

  9. BIOCHEMICAL REACTOR DESIGN: ENZYMATIC PROCESSES
  10. BIOCHEMICAL REACTOR DESIGN: MICROBIAL GROWTH

  BIBLIOGRAPHY