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    Water Minimizationthrough Pinch

    technology

    Ankara, September 13-15 2010

    Jose R. AlvarezDepartment of Chemical and Environmental Engineering

    UNIVERSITY OF OVIEDO

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    Water Pinch Technology

    Systematic technique for analyzing water networks andreducing water costs for processes. Aims to identify andselect the best water re-use, regeneration and effluenttreatment opportunities.

    Avoid End-Of-Pipe solutions

    May be applied to almost any industrial water systemwhere there are users of fresh water and producers ofwaste water. It can also analyze small systems.

    More restrictions = less scope for water savings. Good solutions:

    save water reduce capital investment recover valuable raw materials

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    Applicability

    The savings achieveddepend greatly on theproject objectives.

    Capital cost savingsoften play a major role inthe deliverables of a waterpinch study.

    Identifying and deployingthe best water re-usesystems is a challenge.

    Industry Water

    Reduction

    Chemical &Fibers 25 %

    Corn processing 25 %

    Oil refining 30 %

    Chemicals 40 %

    Paper mill 20 %

    Coal chemicals 50 %

    Polymers (batch) 60 %

    Military Base 40 %

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    Water Uses in IndustryWaste Water Streams

    RAW WATER

    TREATMENT

    RAW

    WATER

    FRESH

    WATER

    BFW

    TREATMENT

    WASTEWATER

    TREATMENT

    STEAM

    SYSTEM

    PROCESS 1

    PROCESS 2

    PROCESS 3

    WASTE

    WATER

    CONTAMINATED

    STORM WATER

    Condensate

    loss

    Boiler blowdown

    Cooling tower blowdown

    Ion exchange regeneration

    Discharge

    Steam

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    Principles for Saving Water

    Re-use (no concentration changes)

    Re-use (with changes to inletconcentration)

    Regeneration and re-use

    Distributed effluent treatment

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    Re-Use (no concentration changes)

    Begin with the assumption that the existingconcentrations are the maximum limits.

    This normally identifies a few small re-useopportunities.

    To achieve further savings we must challenge theassumptions made for concentration limits.

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    Re-Use (with changes to inletconcentration)

    Identify projects where large water savings are possible byincreasing the upper concentration limits to selected sinks.

    This will normally identify a few large re-use opportunities.

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    Distributed Effluent Treatment(de-centralized effluent treatment systems)

    Streams are segregated into categories and treated appropriatelybefore mixing with other streams.

    Several small scale treatment units are used that operate onundiluted effluent streams rather than one large unit operating on

    very dilute effluent. The resulting system can offer better removal efficiency at reduced

    cost.

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    Variants of Water Pinch

    Method 1: UMIST

    based on contaminant generation

    and concentration limitationswhich give limiting profiles and targets

    Method 2: LM (Linnhoff March)

    based on known available sourcesand known demands

    which give targets and water use

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    C

    m

    CPROC, INCPROC, OUT

    CW, OUT

    CW, IN

    C

    m

    CPROC, INCPROC, OUT

    Water

    Profiles

    CPROC, IN CPROC, OUT

    CW, OUT CW, IN

    Process Stream

    Water Stream

    Mass Transfer

    f

    fW

    C

    m

    Process(CW, OUT)max

    (CW, IN) max

    Limiting Water Profile

    C

    m

    Process Limiting Water Profile

    Water Supply Lines

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    Concentration vs mass

    transported diagram

    T

    DH

    TPROC, INTPROC, OUT

    TW, OUT

    TW, IN

    C

    m

    CPROC, IN

    CPROC, OUT CW, OUT

    CW, IN

    DT = 1/CP DH DC = 1/Q Dm

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    UMIST approach

    Maximum use of water

    Maximum water inlet concentration

    Maximum water outlet concentration

    Restrictions:

    Minimum driving force for mass transfer

    Solubility limits

    Scaling and deposit formation Corrosion limits

    Minimum flow to avoid sedimentation ofsuspended solids

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    Example. One contaminant

    after R. Smith, UMIST

    PROCESS 2

    PROCESS 3

    PROCESS 4

    PROCESS 1C

    m

    Process

    (CW, OUT)max

    (CW, IN) max

    Limiting Water Profile

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    Example : One contaminant

    after R. Smith, UMIST

    PROCESS 2

    PROCESS 3

    PROCESS 4

    PROCESS 1C

    m

    CW, OUT

    CW, IN

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    Example: One contaminant

    From Wang and Smith, ,-Wastewater Minimization,Chemical Engineering Science, 1994, 49(7):981-1006

    ProcessingUnit

    CIN, max(ppm)

    COUT,max(ppm)

    ContaminantGeneration (kg/h)

    Limiting WaterFlowrate (t/h)

    Process 1 0 100 2 20

    Process 2 50 100 5 100

    Process 3 50 800 30 40

    Process 4 400 800 4 10

    Sum: 41 kg/h From C:s

    and Gener.

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    Data AnalysisProcessingUnit

    CIN, max(ppm)

    COUT,max(ppm)

    ContaminantGeneration (kg/h)

    Limiting WaterFlowrate (t/h)

    Process 1 0 100 2 20

    Process 2 50 100 5 100

    Process 3 50 800 30 40

    Process 4 400 800 4 10

    FRESH

    WATER

    112.5 t/h

    PROCESS 1

    PROCESS 2

    PROCESS 3

    WASTE

    WATER

    112.5 t/h

    PROCESS 4

    20 t/h

    50 t/h

    37.5 t/h

    5 t/h

    PROCESS 1

    0

    100

    200

    300

    400

    500

    0 2 4 6 8 10

    m (kg/h)

    C

    (ppm)

    PROCESS 2

    0

    100

    200

    300

    400

    500

    0 2 4 6 8 10

    m (kg/h)

    C

    (ppm)

    PROCESS 3

    0

    200

    400

    600

    800

    1000

    0 10 20 30

    m (kg/h)

    C

    (ppm)

    PROCESS 4

    0

    200

    400

    600

    800

    1000

    0 1 2 3 4 5

    m (kg/h)

    C

    (ppm)

    Process 1 Process 2

    Process 3 Process 4

    170 t/h

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    Pinch AnalysisComposite Curves

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    C

    (ppm)

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    C

    (ppm)

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    ppm)

    PINCH

    2 5 20 4

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    Pinch AnalysisComposite Curves

    Concentration

    interval, ppm

    Process 1,

    kg/h

    Process 2,

    kg/h

    Process 3,

    kg/h

    Process 4,

    kg/h

    Total ,

    kg/h

    Accumulated,

    kg/h

    0 - 50 1 1 1

    50 - 100 1 5 2 8 9

    100 - 400 12 12 21

    400 - 800 16 4 20 41

    Total 2 5 30 4 41

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    Pinch AnalysisComposite Curves

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    C

    (ppm)

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    C

    (ppm)

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    ppm)

    PINCH

    2 5 20 4 1 8 12 20

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    Pinch AnalysisComposite Curves

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    C

    (ppm)

    1 8 12 20

    C

    m

    (CW, OUT)max

    (CW, IN) max

    Limiting Water Profile

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    Pinch AnalysisComposite Curves

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    C

    (ppm)

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    C

    (ppm)

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    ppm)

    PINCH

    2 5 20 4 1 8 12 20

    90 t/h

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    Water distribution

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    Water distribution

    90 ton/h0 ppm

    P120 ton/h0 ppm

    70 ton/h

    0 ppm

    20 ton/h100 ppm

    50 ton/h

    0 ppm

    20 ton/h0 ppm

    P2

    2 kg/h

    5 kg/h50 ton/h

    100 ppm

    P320 ton/h

    800 ppm

    16 kg/h

    20 ton/h800 ppm

    14 kg/h

    45.7 ton/h

    800 ppm

    5.7 ton/h100 ppm

    44.3 ton/h

    100 ppm

    P4 5.7 ton/h800 ppm

    4 kg/h

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    Water distribution

    Concentration

    interval, ppm

    Process 1,

    kg/h

    Process 2,

    kg/h

    Process 3,

    kg/h

    Process 4,

    kg/h

    Total ,

    kg/h

    Accumulated,

    kg/h

    0 - 50 1 (1) 1 1

    50 - 100 1 (1) 5 (5) 2 (2) 8 9

    100 - 400 12 (6) (6) 12 21

    400 - 800 16 (8) (8) 4 (4) 20 41

    Total 2 (2) 5 (5) 30(16)(14) 4 (4) 41

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    Example: One contaminant

    From Wang and Smith, ,-Wastewater Minimization,Chemical Engineering Science, 1994, 49(7):981-1006

    ProcessingUnit

    CIN, max(ppm)

    COUT,max(ppm)

    ContaminantGeneration (kg/h)

    Limiting WaterFlowrate (t/h)

    Process 1 0 100 2 20

    Process 2 50 100 5 100

    Process 3 50 800 30 40

    Process 4 400 800 4 10

    Sum: 41 kg/h From C:s

    and Gener.

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    Water distribution

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    One Possible Solution

    44.3 t/h

    20 t/h

    20 t/h 70 t/h

    Water

    90 t/h

    Process 3

    Process 4

    Process 2

    Process 1

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    Possible designs

    Choose e.g. from economical considerations

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    Further possibilities: Minimumregeneration and minimum fresh

    water use

    F h ibili i Mi i

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    Further possibilities: Minimumregeneration and minimum fresh

    water use

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 10 20 30 40

    m (kg/h)

    C

    (ppm)

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    Regeneration flowrate. At the pinch

    Minimum regeneration

    Minimum fresh water use

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    Minimum Regeneration

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    Water distribution

    46.2ton/h0 ppm

    P120 ton/h0 ppm

    26.2 ton/h

    0 ppm

    20 ton/h100 ppm

    P2

    2 kg/h

    2.62 kg/h26.2 ton/h

    100 ppm

    P3

    16.7 kg/h

    45.8 ton/h

    800 ppm

    P4 5.7 ton/h800 ppm

    4 kg/h

    46.2ton/h100 ppm

    46.2ton/h5 ppm

    REGENERATION

    P225.1 ton/h5 ppm

    21.1 ton/h

    5 ppm

    25.1 ton/h100 ppm

    21.1 ton/h800 ppmP3

    19 ton/h100 ppm

    6.1 ton/h100 ppm

    19 ton/h

    800 ppm

    5.7 ton/h100 ppm

    0.4 ton/h

    100 ppm

    2.38 kg/h

    13.3 kg/h

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    Water distribution

    Concentration Process 1, Process 2, Process 3, Process 4, Total , Accumulated,

    interval, ppm kg/h kg/h kg/h kg/h kg/h kg/h

    0 - 50 1 (1) 1 1

    50 - 100 1 (1) 5 (2.62) 2 (2) 8 9

    (2.38)

    100 - 400 12 (6.3) 12 21

    (5.7)

    400 - 800 16 (8.4) 4 (4) 20 41

    (7.6)

    Total 2 (2) 5 (2.62) 30 (16.7) 4 (4) 41

    (2.38) (13.8)

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    Minimum Regeneration

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    Minimum Fresh water

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    Minimum Fresh water

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    Water distribution

    P120 ton/h0 ppm

    20 ton/h100 ppm

    2 kg/h

    P3

    16.7 kg/h

    P4 5.7 ton/h800 ppm

    4 kg/h

    46.2ton/h100 ppm

    73.7 ton/h5 ppmREGENERATION

    P2

    52.6 ton/h

    5 ppm

    21.1 ton/h5 ppm

    21.1 ton/h

    800 ppm

    P3

    18.9 ton/h

    100 ppm

    33.7 ton/h100 ppm

    18.9 ton/h

    800 ppm

    5.7 ton/h100 ppm

    28 ton/h100 ppm

    5 kg/h

    13.3 kg/h

    52.6 ton/h

    100 ppm

    REGENERATION

    REGENERATION

    REGENERATION

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    Water use. Cost optimization

    FRESH REGENERATED IMPLICATIONS

    90 Ton/h0 Ton/h Minimum fresh water

    46.2 Ton/h 46.2 Ton/h Reduce fresh waterReduce wastewater

    20 Ton/h 73.7 Ton/h Increase watertreatment

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    Linnhoff March approachBy Linnhoff March (now KBC)

    List of available sources

    flow rates and contaminant levels

    List of demanded flows (sinks) flow rates and contaminant levels

    cumulative chart gives pinch and

    fresh water needed waste water produced

    process flows and improvements

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    Sources, Sinks and UnitOperations

    Process. Water flow rates arefixed.

    Utility. Water flow rates canbe changed (i.e., city water).May have minimum andmaximum flow limits together

    with two cost terms: fixedcost and variable cost.

    Sink: The point at which water is consumed.

    Source: The point at which a supply of water isavailable.Unit Operation: A piece of equipment or processingunit that acts as both a sink and source for water(takes water in and sends water out).

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    Example: One contaminant

    From Wang and Smith, ,-Wastewater Minimization,Chemical Engineering Science, 1994, 49(7):981-1006

    SINKS

    ProcessingUnit

    CIN, max(ppm)

    COUT,max(ppm)

    ContaminantGeneration (kg/h)

    Limiting WaterFlowrate (t/h)

    Process 1 0 100 2 20

    Process 2 50 100 5 100

    Process 3 50 800 30 40

    Process 4 400 800 4 10

    SOURCES

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    Project Targets

    Waste Minimization: Meeting new environmental regulations. Minimizing the cost of fresh material / waste disposal.

    Site Expansion. Likely to need additional fresh water and wastewater capacity.

    Avoiding new waste treatment or disposal facilities. Overcoming fresh water availability problems. Avoiding high fees for fresh water / waste disposal.

    Debottlenecking. Water systems can be a bottleneck for theoverall production process: Cooling tower throughput. Batch vessel washing. Pump capacity.

    P1

    P2

    S1

    S2

    P3RA

    A

    RB

    B

    P1

    P2

    S1

    S2

    P3RA

    A

    RB

    B

    P1

    P2

    S1

    S2

    P3RA

    A

    RB

    B

    P1

    P2

    S1

    S2

    P3RA

    A

    RB

    B

    P1

    P2

    S1

    S2

    P3RA

    A

    RB

    B

    P1

    P2

    S1

    S2

    P3RA

    A

    RB

    BP1

    P2

    S1

    S2

    P3

    RAA

    RB

    B

    RC

    C

    P1

    P2

    S1

    S2

    P3

    RAA

    RB

    B

    RC

    C

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    Basic Data Required

    Water flows. Key contaminant concentrations. Start with existing

    concentration values. For sinks, if you can identify themaximum allowable concentrations, consider these.

    Utility costs. For each utility to be considered: cost offresh water, cost of discharge, operating cost ofexisting treatments.

    Environmental Limits.

    Additional data: Geographical data. Physical location of sources and sinks within the system,

    together with capital and operating cost terms based on distance and flow (to getsimpler network designs).

    Cost data. Fixed cost and variable cost terms for utility items and connections Treatment and Regeneration specifications: performance characteristics for

    the equipment together with cost information.

    Bounds for selected variables.

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    Selecting Key Contaminants

    A key contaminant is "Any property that prevents the directre-use of a waste water stream.

    color, temperature, suspended solids, and others.

    often the plant operators have valuable contributions.

    How many?

    Anywhere between 3 and 15 contaminants simultaneouslyin a study.

    Good results by considering only 2-5 contaminants forparticular sub-sections of a study.

    Select 1, 2 or 3 contaminants to make the analysis easy(particularly if you are new to this technology). If you havetoo many contaminants defined you may make the analysisdifficult and your data collection will take longer and costmore.

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    Key questions to ask whenselecting contaminants

    Will re-use of water containing this contaminant cause aproblem with the process?

    If it does not cause a problem, you do not need to consider it.

    Can high levels of the contaminant go to waste?

    If not, you will need to consider it when looking at the finaleffluent.

    Is the contaminant a problem downstream?

    Watch out for product quality issues downstream.

    Is the contaminant a problem in just one part of the system?

    If this is the case, you could exclude it from the selectedcontaminants, and use bounds to prevent reuse of thecontaminated water to that part of the system.

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    Recommended Procedures

    Group contaminants into types: Measurements that describegroups of contaminants:

    COD (chemical oxygen demand), TOC (total organiccontent)

    Suspended solids, Dissolved salts, conductivity.

    Organics, Alcohols

    and others!

    Check existing sources of data: Ideally, the concentrationlevels should not be difficult or expensive to obtain:

    Existing material balances

    Routine measurements

    Previous studies

    Laboratory archives

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    Math-Derived Limitations

    Contaminants do not react with each other whenstreams are blended. This limits the scope forrepresenting chemical reactions that increase orreduce contaminant load.

    Contaminants blend linearly. Whenever two or morestreams are mixed, each contaminant is assumed toobey the standard rules of mass balance (conservationof mass, etc.), without interacting with othercontaminants.

    Contaminants have linear units of measure. Non-linear measurements such as pH cannot be easilyrepresented.

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    Identify Sources and Sinks

    If you could change either the source or sink connection fora water stream and still make the same quality product,then the source and sink should be included in the analysis.

    Select streams that are relevant for the project objectives Steams that contribute significantly to the contaminant load Streams with significant flow rates.

    Steam and Condensate. There are two types of steam users toconsider: Steam users that return clean condensate to be re-used are often

    excluded Steam users that do not return condensate for re-use are included

    Streams to exclude: Aqueous "Process streams" that cannot be changed (example:

    product from reactor A to reactor B) Atmospheric losses from cooling towers, vents, etc. Feed, product, or intermediate streams that contain water.

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    Identify Utilities and Costs

    Utility: source, sink or unit operation whose water flowrates can be changed during the water pinch analysis.

    Typical utilities for a water pinch study include:

    Utility Sources Utility Sinks Utility UnitOperations

    Town / city water Final effluentdischarge

    Filters

    Demineralized water Road / rail / shipdisposal

    Reverse osmosis

    Well water Biological treatment

    For each utility you should know realistic costs on aconsistent basis. For new treatment equipment, the costmight also be chosen to reflect the technological risk ofuntried or unproven technologies.

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    Common Unit Operations

    Reverse Osmosis

    Backwash Filter

    Precipitator Dissolved Air Flotation

    Air Stripper

    Steam Stripper Ion Exchange

    Generic Treater

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    Source/demand chart

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    Design and Water Allocation

    Graphical methods not always useful

    especially if several contaminants

    Problem solved with mathematicaloptimization algorithms (MILP-MINLP)

    give ultimate optimum?

    Commercial programs exist(WaterTargetTM)

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    Optimization approachesMixed-integer Linear/Nonlinear Programming

    },}1,0{|{

    },,|{

    ,

    0),(..

    ),(min

    aAyyyY

    bBxxxxRxxX

    YyXx

    yxgts

    yxfZ

    m

    ULn

    Objective function

    Constraints

    f(x,y) andg(x,y) linear =>

    Branch and Bound Beale (1958), Balas (1962), Dakin (1965)

    MILP Cutting planes Gomory (1959), Balas et al (1993)Branch and cut Johnson, Nemhauser & Savelsbergh (2000)

    f(x,y) andg(x,y) nonlinear =>

    Branch and Bound method

    Ravindran and Gupta (1985) Tawarmalani,Sahinidis (2002)

    MINLP Generalized Benders Decomposition Geoffrion (1972)Outer-Approximation

    Duran & Grossmann (1986), Fletcher & Leyffer (1994)

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    Summary

    Water management demanded by:

    environmental limits

    water availability and price

    reduced effluents (amount, concentrations)

    energy consumption and price

    Some reductions in fresh water consumptioncan be achieved by heuristics and pinchtechnology analysis

    Bigger reductions / total closure demandsinternal cleaning

    Water allocation and energy demand interactwith each other: analyze simultaneously?.

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    Jose R. Alvarez

    Water Managementthrough Pinch

    technology

    Department of Chemical and Environmental Engineering

    UNIVERSITY OF OVIEDO