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E-raamat: Learn Aspen Plus in 24 Hours, Second Edition

  • Formaat: 336 pages
  • Ilmumisaeg: 07-Jan-2022
  • Kirjastus: McGraw-Hill Education
  • Keel: eng
  • ISBN-13: 9781264266661
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  • Formaat: 336 pages
  • Ilmumisaeg: 07-Jan-2022
  • Kirjastus: McGraw-Hill Education
  • Keel: eng
  • ISBN-13: 9781264266661
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"A self-guided learning experience designed to get you solving Chemical Engineering problems with Aspen Plus from scratch. This revision is necessary to update the book from Version 9 of the software to Version 12"--

Quickly start using the current version of Aspen Plus® to solve chemical engineering problems

Discover how to solve chemical engineering problems with Aspen Plus® in just 24 hours, with no prior experience. Thoroughly revised for the latest distribution, this self-learning guide features detailed mathematical models for a wide range of chemical process equipment, including heat exchangers, pumps, compressors, turbines, distillation columns, and chemical reactors. Divided into 12 two-hour lessons, Learn Aspen Plus® in 24 Hours, Second Edition shows, step by step, how to build process models and simulations without performing tedious calculations. You will also get downloadable Aspen Plus simulation files and helpful quick starter templates.

Inside, you will learn how to:

  • Get up and running with Aspen Plus
  • Accurately model physical property
  • Work with Aspen Plus’ problem solving tools
  • Create equilibrium- and rate-based distillation models
  • Build chemical reactor models
  • Incorporate connections to Microsoft Excel and Python in your Aspen Plus models
  • Estimate capital costs
  • Optimize heat exchanger networks
  • Simulate electrolyte chemistry and CO2 capture
  • Employ parallel computing and optimization
  • Choose property packages

About This Book xi
Introduction xiii
Tutorial 1 Getting Started
1(10)
Objectives
1(1)
Prerequisite Knowledge
1(1)
Why This Is Useful for Problem Solving
1(1)
Tutorial
2(1)
Background
2(9)
Part 1 Getting Started with Property Definitions
2(3)
Part 2 Setting Up the Flowsheet
5(5)
Part 3 A Little More on Your Own
10(1)
Tutorial 2 Physical Property Modeling
11(14)
Objectives
11(1)
Prerequisite Knowledge
11(1)
Why This Is Useful for Problem Solving
12(1)
Tutorial
12(13)
Part 1 Physical Property Basics
12(2)
Part 2 Retrieving Physical Property Data
14(1)
Part 3 Creating a VLE Diagram
15(3)
Part 4 Pressure Swing Distillation
18(7)
Tutorial 3 Problem Solving Tools
25(12)
Objectives
25(1)
Prerequisite Knowledge
25(1)
Why This Is Useful for Problem Solving
25(1)
Tutorial
26(11)
Part 1 Design Specs
26(5)
Part 2 Sensitivity Analysis
31(6)
Tutorial 4 Heat Exchangers
37(14)
Objectives
37(1)
Prerequisite Knowledge
37(1)
Why This Is Useful for Problem Solving
37(1)
Types and Classifications of Heat Exchangers
38(1)
Shell and Tube Heat Exchangers
38(1)
Advantages
38(1)
Disadvantages
39(1)
Plate Heat Exchangers
39(1)
Advantages
39(1)
Disadvantages
39(1)
Tutorial
40(1)
Case Study
40(8)
Part 1 Using a Heater Model
40(4)
Part 2 Using a HeatX Model
44(4)
Why Choose Two HEATERs versus HeatX?
48(3)
Tutorial 5 Equilibrium-Based Distillation Models
51(10)
Objectives
51(1)
Prerequisite Knowledge
51(1)
Why This Is Useful for Problem Solving
52(1)
Tutorial
52(9)
Part 1 Aspen Property Packages
52(3)
Part 2 DSTWU and Shortcut Column Models
55(3)
Part 3 Rigorous Distillation Models
58(3)
Tutorial 6 Advanced Problem Solving Tools
61(12)
Objectives
61(1)
Prerequisite Knowledge
61(1)
Why This Is Useful for Problem Solving
61(1)
Tutorial
62(1)
Part 1 Utilities
62(1)
What Are Utilities?
62(1)
Defining Utilities
63(2)
Using Utilities
65(8)
Part 2 Optimization
67(6)
Tutorial 7 Chemical Reactor Models
73(14)
Objectives
73(1)
Prerequisite Knowledge
73(1)
Why This Is Useful for Problem Solving
74(1)
Tutorial
75(12)
Part 1 RBatch
75(4)
Part 2 Data Regression
79(1)
Part 3 Expanding to Plug Flow Reactors
80(1)
Part 4 Specification with RYield
81(2)
Part 5 Specification with RStoic
83(1)
Part 6 Equilibrium Reactions with REquil and RGibbs
83(4)
Tutorial 8 Rate-Based Distillation Models
87(14)
Objectives
87(1)
Prerequisite Knowledge
87(1)
Why This Is Useful for Problem Solving
88(1)
Tutorial
88(2)
Part 1 Sizing Information
88(2)
Sieve Tray
90(1)
Bubble Cap Tray
90(1)
Tunnel Cap Tray
90(1)
Structured Packing
90(1)
Unstructured (Random) Packing
91(10)
Part 2 Rate-Based Simulations
94(7)
Tutorial 9 Custom Models and External Control
101(12)
Objectives
101(1)
Prerequisite Knowledge
101(1)
Why This Is Useful for Problem Solving
102(1)
Tutorial
102(1)
Part 1 Basics
102(1)
Import Variables
103(1)
Export Variables
103(10)
Part 2 Custom Models with Calculator Blocks
106(2)
Part 3 Microsoft Excel Automation
108(5)
Tutorial 10 Capital Cost Estimation
113(12)
Objectives
113(1)
Prerequisite Knowledge
113(1)
Why This Is Useful for Problem Solving
113(1)
Tutorial
114(11)
Part 1 Using Aspen Capital Cost Estimator as a Stand-Alone Product
114(8)
Part 2 Integrated Economics in Aspen Plus
122(3)
Tutorial 11 Optimal Heat Exchanger Networks
125(14)
Objectives
125(1)
Prerequisite Knowledge
125(1)
Why This Is Useful for Problem Solving
125(1)
Tutorial
126(1)
Background
126(13)
Part 1 Generating HENs Using Manual Process Stream Data Entry in AEA
126(6)
Part 2 Generating HENs Using Data Imported from Aspen Plus
132(7)
Tutorial 12 Electrolyte Chemistry and Solvent-Based Carbon Dioxide Capture
139(22)
Objectives
139(1)
Prerequisite Knowledge
139(1)
Why This Is Useful for Problem Solving
139(1)
Tutorial
140(21)
Part 1 Electrolytes
140(5)
Part 2 Solvent-Based CO2 Capture---Setting Up Properties
145(4)
Part 3 Solvent-Based CO2 Capture---Once-Through Simulation
149(8)
Part 4 Solvent-Based CO2 Capture---Closing the Loop
157(4)
Bonus Tutorial 1 Solids Processing
161(8)
Objectives
161(1)
Prerequisite Knowledge
161(1)
Why This Is Useful for Problem Solving
161(1)
Tutorial
161(8)
Part 1 Simple Solids
161(4)
Part 2 Simple Solids with Particle Size Distributions
165(4)
Bonus Tutorial 2 Parallel Computing Tools: Reduced Order Models, Optimization, and High-Performance Computing
169(34)
Objectives
169(1)
Prerequisite Knowledge
169(1)
Why This Is Useful for Problem Solving
170(1)
Tutorial
171(32)
Part 1 Aspen Multi-Case for Large Parallel Computing Jobs
171(9)
Part 2 Running Aspen Plus from Python Code Using Parallel Computing
180(13)
Part 3 Particle Swarm Optimization in Aspen Plus with Parallel Computing
193(10)
Bonus Tutorial 3 Batch Operations in Aspen Plus
203(22)
Objectives
203(1)
Prerequisite Knowledge
203(1)
Why This Is Useful for Problem Solving
203(2)
Tutorial
205(20)
Part 1 Simple Tanks with BatchOp
205(8)
Part 2 Reactions in BatchOp
213(6)
Part 3 Batch Distillation with BatchSep
219(6)
Bonus Tutorial 4 Choosing Property Packages
225(12)
Objectives
225(1)
Prerequisite Knowledge
225(1)
Why This Is Useful for Problem Solving
225(1)
Tutorial
226(1)
Part 1 Property Method Types
226(1)
Equation of State Models
226(1)
Activity Coefficient Models
227(1)
Specialty Models
228(5)
Part 2 Validating Normal Liquid Systems with Experimental Data
229(4)
Part 3 Validating More Complex Systems with Experimental Data
233(1)
Graphical Methods for Normal Gas + Normal Liquid Systems
233(1)
Graphical Methods for Ternary VLE (Three Chemicals)
234(2)
Statistical Methods for Any Number of Chemicals
236(1)
Solutions 237(54)
Command Index 291(10)
Music Index 301(2)
Subject Index 303
Thomas A. Adams II is an associate professor of chemical engineering at McMaster University. He serves as chair of the Systems and Control division of the Canadian Society of Chemical Engineers and is the author of the first edition of Learn Aspen Plus in 24 Hours.