{"product_id":"attainable-region-theory-isbn-9781119157885","title":"Attainable Region Theory","description":"Recipient of the \u003cb\u003e2019 Most Promising New Textbook Award\u003c\/b\u003e from the \u003ci\u003eTextbook \u0026amp; Academic Authors Association (TAA)\u003c\/i\u003e.\u003cbr\u003e\u003cbr\u003e\u003ci\u003e\"The authors of \u003cb\u003eAttainable Region Theory: An Introduction to an Choosing Optimal Reactor \u003c\/b\u003emake what is a complex subject and decades of research accessible to the target audience in a compelling narrative with numerous examples of real-world applications.\" TAA Award Judges, February 2019\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003eLearn how to effectively interpret, select and optimize reactors for complex reactive systems, using Attainable Region theory\u003cbr\u003e \u003cul\u003e \u003cli\u003eTeaches how to effectively interpret, select and optimize reactors for complex reactive systems, using Attainable Region (AR) theory\u003c\/li\u003e \u003cli\u003eWritten by co-founders and experienced practitioners of the theory\u003c\/li\u003e \u003cli\u003eCovers both the fundamentals of AR theory for readers new to the field, as we all as advanced AR topics for more advanced practitioners for understanding and improving  realistic reactor systems\u003c\/li\u003e \u003cli\u003eIncludes over 200 illustrations and 70 worked examples explaining how AR theory can be applied to complex reactor networks, making it ideal for instructors and self-study\u003c\/li\u003e \u003cli\u003eInteractive software tools and examples written for the book help to demonstrate the concepts and encourage exploration of the ideas\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xiii\u003c\/p\u003e \u003cp\u003ePrior Knowledge xiv\u003c\/p\u003e \u003cp\u003eHow this book is Structured xv\u003c\/p\u003e \u003cp\u003eSoftware and Companion Website xvii\u003c\/p\u003e \u003cp\u003eNomenclature xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION I BASIC THEORY 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 3\u003c\/p\u003e \u003cp\u003e1.2 Motivation 3\u003c\/p\u003e \u003cp\u003e1.3 Reactor Network Synthesis 8\u003c\/p\u003e \u003cp\u003e1.4 Solving the Reactor Network Synthesis Problem 12\u003c\/p\u003e \u003cp\u003e1.5 Chapter Review 16\u003c\/p\u003e \u003cp\u003eReferences 17\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Concentration and Mixing 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 19\u003c\/p\u003e \u003cp\u003e2.2 Concentration Vectors and Dimension 23\u003c\/p\u003e \u003cp\u003e2.3 Mixing 28\u003c\/p\u003e \u003cp\u003e2.4 Chapter Review 47\u003c\/p\u003e \u003cp\u003eReferences 47\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 The Attainable Region 49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 49\u003c\/p\u003e \u003cp\u003e3.2 A Mixing and Reaction Game 49\u003c\/p\u003e \u003cp\u003e3.3 The AR 57\u003c\/p\u003e \u003cp\u003e3.4 Elementary Properties of the AR 58\u003c\/p\u003e \u003cp\u003e3.5 Chapter Review 61\u003c\/p\u003e \u003cp\u003eReferences 61\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Reaction 63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 63\u003c\/p\u003e \u003cp\u003e4.2 Reaction Rates and Stoichiometry 63\u003c\/p\u003e \u003cp\u003e4.3 Reaction from a Geometric Viewpoint 66\u003c\/p\u003e \u003cp\u003e4.4 Three Fundamental Continuous Reactor Types 73\u003c\/p\u003e \u003cp\u003e4.5 Summary 102\u003c\/p\u003e \u003cp\u003e4.6 Mixing Temperatures 102\u003c\/p\u003e \u003cp\u003e4.7 Additional Properties of the AR 105\u003c\/p\u003e \u003cp\u003e4.8 Chapter Review 106\u003c\/p\u003e \u003cp\u003eReferences 107\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Two-Dimensional Constructions 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 109\u003c\/p\u003e \u003cp\u003e5.2 A Framework for Tackling AR Problems 109\u003c\/p\u003e \u003cp\u003e5.3 Two-Dimensional Van De Vusse Kinetics 110\u003c\/p\u003e \u003cp\u003e5.4 Multiple CSTR Steady States and ISOLAS 125\u003c\/p\u003e \u003cp\u003e5.5 Constructions in Residence Time Space 131\u003c\/p\u003e \u003cp\u003e5.6 Chapter Review 141\u003c\/p\u003e \u003cp\u003eReferences 141\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION II EXTENDED TOPICS 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Higher Dimensional AR Theory 145\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 145\u003c\/p\u003e \u003cp\u003e6.2 Dimension and Stoichiometry 146\u003c\/p\u003e \u003cp\u003e6.3 The Three Fundamental Reactor Types Used in AR Theory 159\u003c\/p\u003e \u003cp\u003e6.4 Critical DSRs and CSTRs 166\u003c\/p\u003e \u003cp\u003e6.5 Chapter Review 189\u003c\/p\u003e \u003cp\u003eReferences 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Applications of AR Theory 191\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 191\u003c\/p\u003e \u003cp\u003e7.2 Higher Dimensional Constructions 191\u003c\/p\u003e \u003cp\u003e7.3 Nonisothermal Constructions and Reactor Type Constraints 205\u003c\/p\u003e \u003cp\u003e7.4 AR Theory for Batch Reactors 222\u003c\/p\u003e \u003cp\u003e7.5 Chapter Review 232\u003c\/p\u003e \u003cp\u003eReferences 233\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 AR Construction Algorithms 235\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 235\u003c\/p\u003e \u003cp\u003e8.2 Preliminaries 235\u003c\/p\u003e \u003cp\u003e8.3 Overview of AR Construction Methods 246\u003c\/p\u003e \u003cp\u003e8.4 Inside-out Construction Methods 248\u003c\/p\u003e \u003cp\u003e8.5 Outside-in Construction Methods 262\u003c\/p\u003e \u003cp\u003e8.6 Superstructure Methods 270\u003c\/p\u003e \u003cp\u003e8.7 Chapter Review 279\u003c\/p\u003e \u003cp\u003eReferences 279\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Attainable Regions for Variable Density Systems 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 281\u003c\/p\u003e \u003cp\u003e9.2 Common Conversions to Mass Fraction Space 281\u003c\/p\u003e \u003cp\u003e9.3 Examples 293\u003c\/p\u003e \u003cp\u003e9.4 Chapter Review 298\u003c\/p\u003e \u003cp\u003eReferences 299\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Final Remarks Further Reading and Future Directions 301\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 301\u003c\/p\u003e \u003cp\u003e10.2 Chapter Summaries and Final Remarks 301\u003c\/p\u003e \u003cp\u003e10.3 Further Reading 304\u003c\/p\u003e \u003cp\u003e10.4 Future Directions 305\u003c\/p\u003e \u003cp\u003eReferences 307\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A Fundamental Reactor Types 309\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA.1 The Plug Flow Reactor 309\u003c\/p\u003e \u003cp\u003eA.2 The Continuous-Flow Stirred Tank Reactor 309\u003c\/p\u003e \u003cp\u003eA.3 The Differential Sidestream Reactor 310\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B Mathematical Topics 311\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eB.1 Set Notation 311\u003c\/p\u003e \u003cp\u003eB.2 Aspects of Linear Algebra 311\u003c\/p\u003e \u003cp\u003eB.3 The Complement Principle 313\u003c\/p\u003e \u003cp\u003eReferences 315\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix C Companion Software and Website 317\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eC.1 Introduction 317\u003c\/p\u003e \u003cp\u003eC.2 Obtaining Python and Jupyter 318\u003c\/p\u003e \u003cp\u003eIndex 321\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDavid Ming\u003c\/b\u003e holds a B.Sc. and Ph.D. in chemical engineering from the University of the Witwatersrand, Johannesburg. His research interests involve using AR theory to optimize chemical reactors, including batch reactors, and AR numerical methods.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDavid Glasser\u003c\/b\u003e is a Professor of Chemical Engineering and co-director of the Material and Process Synthesis (MaPS) research unit at the University of South Africa (UNISA). He was Head of Department of Chemical Engineering, and Dean of the Faculty of Engineering at University of the Witwatersrand, and is one of the co-founders of AR theory. He holds a B.Sc. in chemical engineering from University of Cape Town, and a Ph.D. in chemical engineering from Imperial College.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDiane Hildebrandt\u003c\/b\u003e is a Professor of Chemical Engineering and co-Director of the MaPS research unit at UNISA. She was the first woman in South Africa to be appointed a full professor of Chemical Engineering when she was the Unilever Professor of Reaction Engineering at the University of the Witwatersrand, and is also a co-developer of AR theory. She holds a B.Sc., M.Sc. and Ph.D. in chemical engineering from University of the Witwatersrand. Her research area is the reduction of CO2 emissions through the design of energy efficient processes.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBenjamin Glasser\u003c\/b\u003e is a Professor of Chemical and Biochemical Engineering at Rutgers University, New Jersey, USA. He holds a B.Sc. and M.Sc. in chemical engineering from University of the Witwatersrand, and a Ph.D. in chemical engineering from Princeton University. His research interests include heat and mass transfer, multiphase reactors and particle technology applied to chemical and pharmaceutical manufacturing.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMatthew Metzger\u003c\/b\u003e is a Senior Scientist at Merck \u0026amp; Co., Inc. He has co-authored over 14 publications, holds a B.S. in chemical engineering from Lafayette University, and a Ph.D. in chemical engineering from Rutgers University.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eLearn how to effectively interpret, select and optimize reactors for complex reactive systems, using Attainable Region theory\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWith so many different reactor types available, and infinitely ways to combine these types together, how should we go about decoding and designing these systems, and how do we know that there are not other designs that could do better?\u003c\/p\u003e \u003cp\u003eAttainable Region (AR) theory provides a means of understanding chemical reactor networks from a geometric perspective of reactors. This approach allows us to find all possible outcomes for all possible designs — even the designs we cannot imagine — giving us confidence that what we design is always optimal for a given duty.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAttainable Region Theory: An Introduction to Choosing an Optimal Reactor\u003c\/i\u003e discusses how to effectively interpret, select and optimize reactors for complex reactive systems, using AR theory. Covering both fundamentals and advanced concepts, this book demonstrates how this approach can lead to powerful insights and discoveries that improve the performance of complex reactor designs.\u003c\/p\u003e \u003cp\u003eWritten by respected figures on AR research, including co-developers of the founding theory, this textbook features: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eOver 70 worked examples and 200 illustrations, including interactive software tools written in Python, which demonstrate AR theory\u003c\/li\u003e \u003cli\u003eFundamentals of AR theory to readers without any prior knowledge of chemical reactors or optimization\u003c\/li\u003e \u003cli\u003eAdvanced AR topics including construction algorithms, higher dimensional and variable density systems\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis book serves as a companion textbook for self-study or a reference for instructors, and may also be used as a module of a larger course on reactor network design and optimization.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988775059685,"sku":"NP9781119157885","price":218.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119157885.jpg?v=1761781541","url":"https:\/\/k12savings.com\/es\/products\/attainable-region-theory-isbn-9781119157885","provider":"K12savings","version":"1.0","type":"link"}