Learn Aspen Plus in 24 Hours, 2nd Edition
- Length: 336 pages
- Edition: 2
- Language: English
- Publisher: McGraw Hill
- Publication Date: 2022-01-07
- ISBN-10: 1264266650
- ISBN-13: 9781264266654
- Sales Rank: #743182 (See Top 100 Books)
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
Cover Title Page Copyright Page Contents About This Book Introduction Tutorial 1—Getting Started Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Background Part 1: Getting Started with Property Definitions Part 2: Setting Up the Flowsheet Part 3: A Little More on Your Own Tutorial 2—Physical Property Modeling Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Physical Property Basics Part 2: Retrieving Physical Property Data Part 3: Creating a VLE Diagram Part 4: Pressure Swing Distillation Tutorial 3—Problem Solving Tools Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Design Specs Part 2: Sensitivity Analysis Tutorial 4—Heat Exchangers Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Types and Classifications of Heat Exchangers Shell and Tube Heat Exchangers Advantages Disadvantages Plate Heat Exchangers Advantages Disadvantages Tutorial Case Study Part 1: Using a Heater Model Part 2: Using a HeatX Model Why Choose Two HEATERs versus HeatX? Tutorial 5—Equilibrium-Based Distillation Models Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Aspen Property Packages Part 2: DSTWU and Shortcut Column Models Part 3: Rigorous Distillation Models Tutorial 6—Advanced Problem Solving Tools Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Utilities What Are Utilities? Defining Utilities Using Utilities Part 2: Optimization Tutorial 7—Chemical Reactor Models Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: RBatch Part 2: Data Regression Part 3: Expanding to Plug Flow Reactors Part 4: Specification with RYield Part 5: Specification with RStoic Part 6: Equilibrium Reactions with REquil and RGibbs Tutorial 8—Rate-Based Distillation Models Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Sizing Information Sieve Tray Bubble Cap Tray Tunnel Cap Tray Structured Packing Unstructured (Random) Packing Part 2: Rate-Based Simulations Tutorial 9—Custom Models and External Control Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Basics Import Variables Export Variables Part 2: Custom Models with Calculator Blocks Part 3: Microsoft Excel Automation Tutorial 10—Capital Cost Estimation Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Using Aspen Capital Cost Estimator as a Stand-Alone Product Part 2: Integrated Economics in Aspen Plus Tutorial 11—Optimal Heat Exchanger Networks Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Background Part 1: Generating HENs Using Manual Process Stream Data Entry in AEA Part 2: Generating HENs Using Data Imported from Aspen Plus Tutorial 12—Electrolyte Chemistry and Solvent-Based Carbon Dioxide Capture139 Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Electrolytes Part 2: Solvent-Based CO2 Capture—Setting Up Properties Part 3: Solvent-Based CO2 Capture—Once-Through Simulation Part 4: Solvent-Based CO2 Capture—Closing the Loop Bonus Tutorial 1—Solids Processing Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Simple Solids Part 2: Simple Solids with Particle Size Distributions Bonus Tutorial 2—Parallel Computing Tools: Reduced Order Models, Optimization, and High-Performance Computing Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Aspen Multi-Case for Large Parallel Computing Jobs Part 2: Running Aspen Plus from Python Code Using Parallel Computing Part 3: Particle Swarm Optimization in Aspen Plus with Parallel Computing Bonus Tutorial 3—Batch Operations in Aspen Plus Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Simple Tanks with BatchOp Part 2: Reactions in BatchOp Part 3: Batch Distillation with BatchSep Bonus Tutorial 4—Choosing Property Packages Objectives Prerequisite Knowledge Why This Is Useful for Problem Solving Tutorial Part 1: Property Method Types Equation of State Models Activity Coefficient Models Specialty Models Part 2: Validating Normal Liquid Systems with Experimental Data Part 3: Validating More Complex Systems with Experimental Data Graphical Methods for Normal Gas + Normal Liquid Systems Graphical Methods for Ternary VLE (Three Chemicals) Statistical Methods for Any Number of Chemicals Solutions Command Index Music Index Subject Index
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