MULTIPERIOD DESIGN OF AZEOTROPIC SEPARATION SYSTEMS - PowerPoint PPT Presentation

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MULTIPERIOD DESIGN OF AZEOTROPIC SEPARATION SYSTEMS

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Az. F1. F3. F2. F. A. B. C. PROBLEM DESCRIPTION. FEED 1. FEED 3. FEED 2 ... Az. F. D / F. D. B. COLUMN APPROXIMATION. Cost = F(Feed, Distillate, Trays, Reflux) ... – PowerPoint PPT presentation

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Title: MULTIPERIOD DESIGN OF AZEOTROPIC SEPARATION SYSTEMS


1
MULTIPERIOD DESIGN OFAZEOTROPIC
SEPARATIONSYSTEMS
  • Kenneth H. Tyner
  • and
  • Arthur W. Westerberg

2
OVERVIEW
  • Problem Description
  • Problem Challenges
  • Related Research Issues
  • Solution Approach
  • Conclusions

3
PROBLEM DESCRIPTION
B
  • Design An Optimal Separation Plant
  • Multiple Feeds
  • Flowrate
  • Composition
  • Operating Time
  • Azeotropes

F3
A
C
Az
4
PROBLEM DESCRIPTION
B
A
C
F
B
Az
F3
A
C
Az
5
PROBLEM DESCRIPTION
B
A
C
F
B
F3
A
C
Az
6
PROBLEM DESCRIPTION
FEED 1
FEED 3
FEED 2
7
PROBLEM DESCRIPTION
FEED 1
FEED 3
FEED 2
8
PROBLEM DESCRIPTION
FEED 1
FEED 3
FEED 2
9
PROBLEM DESCRIPTION
FEED 1
FEED 3
FEED 2
10
PROBLEM DESCRIPTION
FEED 1
FEED 3
FEED 2
11
PROBLEM CHALLENGES
  • Highly Combinatorial
  • Separation Pathways
  • Process Units
  • Task Assignment
  • Difficult Subproblems
  • Large Models
  • Highly Nonlinear
  • Recycle Streams
  • Shared Equipment

12
INITIAL RESEARCH THRUSTS
  • Synthesize Designs
  • Evaluate Designs
  • Optimize / Modify Designs

13
AZEOTROPIC SYNTHESIS
B
A
C
F
B
Az
F
A
C
Az
14
AZEOTROPIC SYNTHESIS
B
A
C
F
B
Az
F
A
C
Az
15
AZEOTROPIC SYNTHESIS
B
A
C
F
B
F
A
C
Az
16
SIMULATION
17
SIMULATION
Modify
18
REVISED RESEARCH THRUSTS
  • Collocation Error Detection
  • Scaling
  • Solver Design

19
SIMULATION
Modify
20
SOLUTION APPROACH
  • Approximation
  • Separation Task
  • Column Design and Operation
  • Shortcut Costing
  • Autonomous Agents

21
ECONOMICS
  • Cost F( Feed, Distillate, Trays, Reflux )

22
ECONOMICS
Cost F( Feed, Distillate, Trays, Reflux )
Separation Task Contribution
23
ECONOMICS
Cost F( Feed, Distillate, Trays, Reflux )
Separation Task Contribution
Column Design and Operation Contributions
24
TASK APPROXIMATION
B
  • Variables
  • Compositions
  • Flowrates
  • Relations
  • Mass Balance
  • Lever Rule
  • Geometric Objects

B
D
A
C
Az
25
COLUMN APPROXIMATION
  • Cost F(Feed, Distillate, Trays, Reflux)
  • Reflux F(Trays, Feed Location)

26
COLUMN APPROXIMATION
  • Cost F(Feed, Distillate, Trays, Reflux)
  • Reflux F(Trays)
  • Optimal Feed Location F(Trays)

27
COLUMN APPROXIMATION
  • Gilliland Correlation

28
DATA COLLECTION
  • Fix Trays and Task
  • Find Optimal Reflux

29
DATA COLLECTION
30
DATA COLLECTION
B
A
C
Az
31
SIMULATION
A
C
B
F
B
Az
A
C
Az
32
SIMULATION
A
C
B
F
B
Az
A
C
Az
33
SIMULATION
34
ASYNCHRONOUS TEAMS
  • Independent Software Agents
  • Shared Memory

35
ASYNCHRONOUS TEAMS
  • Independent Software Agents
  • Shared Memory

Newton Solver
Gradient Solver
Trial Points
36
ASYNCHRONOUS TEAMS
  • Independent Software Agents
  • Shared Memory

Newton Solver
Gradient Solver
Trial Points
37
ASYNCHRONOUS TEAMS
  • Independent Software Agents
  • Shared Memory

Newton Solver
Gradient Solver
Trial Points
38
ASYNCHRONOUS TEAMS
  • Independent Software Agents
  • Shared Memory
  • Advantages
  • Scalable
  • Ease of Creation / Maintenance
  • Cooperation

39
ASYNCHRONOUS TEAMS
  • Applications
  • Train Scheduling
  • Travelling Salesman Problem
  • Building Design

40
ASYNCHRONOUS TEAMS
Approximation Agents
Database
Approximation Data
Problem Description
Designs
Design Agents
41
MINLP DESIGN AGENT
  • Fixed
  • Separation Pathways
  • Intermediate Streams
  • Variable
  • Task Assignment
  • Number of Columns
  • Column Dimensions
  • Operating Policy

42
MINLP DESIGN AGENT
  • Fixed
  • Separation Pathways
  • Intermediate Streams
  • Variable
  • Task Assignment
  • Number of Columns
  • Column Dimensions
  • Operating Policy

43
MINLP DESIGN AGENT
  • Fixed
  • Separation Pathways
  • Intermediate Streams
  • Variable
  • Task Assignment
  • Number of Columns
  • Column Dimensions
  • Operating Policy

44
TASK ASSIGNMENT
45
TASK ASSIGNMENT
46
PATH SELECTION
  • Sequential Selection
  • Genetic Algorithm
  • Active Constraint

47
MINLP DESIGN AGENT
  • Fixed
  • Separation Pathways
  • Intermediate Streams
  • Variable
  • Task Assignment
  • Number of Columns
  • Column Dimensions
  • Operating Policy

48
ASYNCHRONOUS TEAMS
Approximation Agents
Database
Approximation Data
Problem Description
Designs
Design Agents
49
GENERAL BENEFITS
  • Alternative to Hierarchical Design
  • Persistent Data
  • Scenario Analysis
  • Human Agents

50
MULTIPERIOD DESIGN OFAZEOTROPIC
SEPARATIONSYSTEMS
  • Kenneth H. Tyner
  • and
  • Arthur W. Westerberg
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