summer09 biegler design.pdf

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    The TextbookDeals with decision-making conceptsrelated to process design

    Technical and Economic Evaluation ofProcessesMaterial easily leveraged with capstonedesign project

    Conceptual and Heuristic SynthesisOptimization FormulationsBackground on Mathematical

    Programming

    Undergrad/graduate level over multi-semester sequenceUseful research reference (widely citedin international scientific literature)

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    Design Course teaches

    Synthesis of engineering content and professionalpractice

    Activities that mimic the real-world workplace in

    process engineering Social process that leverages diverse

    personalities and skills

    Evolving to Products and New Processes Decision-making based on engineering

    experience and domain knowledge2

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    Issues for Decision-making Ill-defined problems --> well-defined formulations

    Metrics to compare alternatives safety environmental impact and sustainability energy efficiency

    economics

    Search among a rich set of alternatives

    ==> Research in PSE has focused on these issues overthe past four decades

    How should this be taught in a design course?

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    The BasicsHow should a flowsheet be constructed?

    - rule-based hierarchies, based on Rudd, Powers, Siirola andDouglas

    - reflect decisions that lead to state-of-the-art continuous processes

    How should a flowsheet be evaluated?

    Technical Feasibility: Does it produce the desired productsfrom given feedstocks?- shortcut models and linear mass balances ==> flowsheet

    interactions- evolve to detailed simulation models ==> what additional

    information is gained

    Economic Feasibility: Will it be profitable for the company?- capital and operating costs- time value of money- NPV vs. rates of return

    - economic evaluation

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    Process Simulation and ModelingTools

    0.001

    0.01

    0.1

    1

    10

    100

    1000

    1981 1985 1994 2000

    Cycle time ( s)

    Simulation TimeEquivalents

    Overall P e r f o r m a n c e

    f o r

    O p

    t i m

    i z a

    t i o n

    4-6 orders of magnitude speedup in 20 years About three orders of magnitude due to solution

    algorithms Essential tools for process engineering education Ubiquitous, on everyones laptop

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    Optimization Impact on Process Simulation Shorter Design Cycles - 1 hr vs. up to 2 weeks of case studies to get

    same design

    Significantly better and more consistent performance in workprocesses

    Nonintuitive results- Increased process understanding- Explore limits of process model

    - Sensitivity information on process performance

    Lower level decisions of process engineering handled by optimizer

    Higher level decisions handled by process engineer, but can easilybe misused power tool analogy!

    Understand what is under the hood

    Diagnose problems and check answers

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    Process Synthesis ConceptsFocus on problem definition and descriptive tools to demonstrate trade-

    offs in design

    Energy Integration- pinch technology- heat and power systems- capital vs. energy

    Energy Targeting and HENS hot/cold minimum utilities matching rules for HEN widely effective tool easy to teach

    Tmin

    QH,min

    QC,min

    Heat content H

    hot composite curve

    cold composite curve

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    Process Synthesis ConceptsFocus on problem definition and descriptive tools to demonstrate trade-

    offs in design

    Separation Synthesis- separation sequencing and complex columns- nonideal/azeotropic separation- combinatorics vs. models

    Effective Sequencing Strategies

    Triangular phase diagrams

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    Process Synthesis ConceptsFocus on problem definition and descriptive tools to demonstrate trade-

    offs in design

    Reactors- beyond reactor design- networks vs. models- attainable regions

    Novel Graphical Approach new insights on networks easy to teach limited by visualization 1.21.00.80.60.40.20.0

    10.0

    5.0

    0.0

    15.0

    F

    A

    B

    G

    H

    E

    D

    C A

    CB

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    Process Synthesis Concepts All of these can be represented and solved as

    Optimization Problems

    Advanced tools for evaluation of best designs, not justfeasible designs Assess the best trade-offs Deal with uncertainty in the best ways

    Extend beyond graphics to more advanced cases (multipleutilities, multidimensional kinetics)

    Natural way to integrate design aspects Balance economics (capital vs. operating costs vs. environment) Integrate subsystems (energy, separation, reaction)

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    Optimal Flowsheets with Heat Integration

    MIXER1

    2

    5

    PROX

    FCSTACK

    13

    14

    15

    COMPR1

    16

    FLASH

    POSTCOMB

    17

    18

    20

    COMPR2

    HEX7

    3

    HEX1

    6

    HEX2 HEX3

    10

    HEX421

    HEX5

    22

    HEX6

    23

    WGS

    24

    SMR

    HEX8 26

    C 1

    C 2

    C 3

    C 4

    Cold stream C i

    H 1

    H 2 H

    3 H 4

    H 5

    H 6

    H 7

    H 8

    H 9

    Hot stream H i

    C 1

    C 2

    C 3

    C 4

    Cold stream C i

    H 1

    H 2 H

    3 H 4

    H 5

    H 6

    H 7

    H 8

    H 9

    Hot stream H i

    Optimal trade-off: operating cost, capital, revenue for best heat integrateddesignCannot be obtained with insights and graphical methods

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    Teaching Optimization in Design?

    First Semester

    Problem Representation, Graphical Insights

    Alternative Generation for Flowsheets and ProcessSimulation

    Metrics for Evaluation Economics

    Second Semester

    Optimization formulations and solutions

    - GAMS, Aspen/Plus, ExcelCapstone Design Project

    - Real-world team projects using advanced tools

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    The FutureSystematic decision-making extends to:

    Further integration of multiple objectives, subsystems

    and modeling platforms

    New processes: energy, bio- and nano- systems Development of models and need for decision-making

    Multi-scale modeling and simulation: Ab Initio, Molecular Dynamics, CFD, Process simulation,

    Planning, Scheduling Leveraging large-scale decision-making: knowledge of

    optimization tools and problem formulations