2c.1scheianufinalidea 2013 conference slides wood group dorin

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0 PREVENTIVE MAINTENANCE PROGRAM AND NOVEL TECHNIQUES TO REDUCE DOWNTIME AND INCREASE OPERATING EFFICIENCY AT DISTRIBUTED COGENERATION FACILITIES Dorin Scheianu and Tom Le Wood Group GTS, Houston IDEA 2013 – February, San Diego

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  • 0PREVENTIVE MAINTENANCE PROGRAM AND NOVEL TECHNIQUES TO REDUCE

    DOWNTIME AND INCREASE OPERATING EFFICIENCY AT DISTRIBUTED COGENERATION FACILITIES

    Dorin Scheianu and Tom LeWood Group GTS, Houston

    IDEA 2013 February, San Diego

  • 1SUMMARY

    Gas Turbine Maintenance Total Plant Service Optimization Concept

    Case study: Turbine Upgrade - Rady Childrens Hospital (San Diego) Case study: Turbine Analysis Tools - Rice University (Houston)

    Preventive maintenance and data analysis designated to better diagnosing turbine condition and planning term maintenance services

    IDEA 2013 February, San Diego

  • 2PURPOSE OF GAS TURBINE MAINTENANCE

    Maintain plant availability, reliability and component life expectancy Maintain plant performance (power and specific fuel consumption) Maintain optimal tuning Keeping compliance with applicable regulations Keeping all possible operating options for the owner Allowing for applicable hardware (including turbine) and software

    upgrades for safety, reliability and performance

    Allowing analysis of operation with the purpose of continuously improving plant parameters

    IDEA 2013 February, San Diego

  • 3TOTAL PLANT SERVICE OPTIMIZATION CONCEPT A SERVICE PROVIDERS AGENDA

    Mobilization and Operational Services Site inventory Site Systems Manuals and Training Operational Procedures Manual Computerized maintenance management system Administrative procedures program Operator qualification program Additional services

    IDEA 2013 February, San Diego

  • 4IDEA 2013 February, San Diego

    Case Study - RADY CHILDRENS HOSPITAL

    FACILITY SUMMARY

    DTE Energy San Diego, LLC. established to

    provide O&M services to Rady Childrens

    Hospital of San Diego. Rady Children's

    Hospital-San Diego is the regions pediatric

    medical center serving San Diego, Imperial,

    and southern Riverside counties.

  • 5RADY CHILDRENS HOSPITAL

    IDEA Conference Rady Childrens Hospital

    The largest children's hospital in California (based on admissions)

    The sixth largest children's hospital in the country

    The only hospital in the San Diego area dedicated exclusively to pediatric

    healthcare

    The region's only designated pediatric trauma center

    Provider of care to more than 82 percent of the regions children

    Provider of care to more than 150,000 children in 2011

    Outstanding team includes nearly 700 physicians and more than 1,000 nurses,

    nearly 4,000 employees, 450 active volunteers, and more than 1,200 auxiliary

    members.

  • 6The Project

    DRIVERS FOR PROJECT DEVELOPMENT

    New facility commissioned in 2011, demanding additional power and heat New hospital equipment requiring sudden excursions in power of 700 kW Need for reliable and uninterrupted power (35+ life saving surgeries

    performed daily, out of a total of 200+) Need for margin to max load, to ensure uninterrupted operation Need for process efficiency Compatibility with the existing equipment and installations already the

    boiler and subsequent cogeneration existing with no intent to be replaced) Short time for completion, involving all of the following:

    Mechanical installation Electrical installation and controls changeover Specific auxiliary equipment changeover Tests and commissioning

    Long term service contract with service provider

  • 7The Project

    PROJECT SCOPE

    Replacement of the existing gas turbine Centaur 40 with a Taurus 60

    Replacement of main reduction gearbox Replacement of control software Maintaining the existing electric generator Maintaining the existing skid Maintaining the existing electrical installation Making all mechanical and electrical adaptations Addition of an acoustics monitoring system for the new combustor Commissioning the new turbine Addition of a remote control access system (under development)

  • 8Equipment Layout

    Natural Gas

    Hot Water 400 F

    Chilled water 33 F

    Steam 76 psig

    Absorption cycle

    Exhaust gas 860F

  • 9Project Overview

    One (1) Solar gas fueled turbine generator package

    This unit was purchased new with a Centaur 40S turbine engine and commissioned by Solar Turbines in 2002.

    Turbine Generator package was upgraded by Wood Group to T7901S turbine engine in August 2012.

    PROJECT SUMMARY

    Specification Centaur40 Taurus60

    EngineID T4701S T7901S

    SerialNo. OHJ08C0841 N/A

    ISOPower(G) 3516kWe 5513kWe

    NGP(RPM) 1495160Hz 1495160Hz

    IGVSetting +8.0DEG +7.0DEG@59F

    T5Base(G) 1104F 1290F

    T5SetPoint(G) T51170F T51250F

    EmissionSP(G) 1132F 1230F

    %Pilot(G) PartLoad 3 4

    %Pilot(G/L) FullLoad 2 3

  • 10

    Project Execution

    Centaur 40 Performance Generation Power: 3516 kW rated /

    2800 kW typical, no capability for sudden excursions in power demand

    Exhaust Temp: 860F quasi constant Heat Recovery Primary Production:

    Hot water 400 F Secondary usage of recovered heat:

    steam 76 psig, cold water 33 deg. F Low Emissions

    TIMELINE FOR EXECUTIONRemoval & Installation Start Date

    August 3rd, 2012

    Testing, commissioning and Hand Over Date

    August 9th, 2012

    Total Duration 6 Days

    Taurus 60 Performance Generation Power: 5513 kW ISO rated,

    3200 kW typical with sudden excursions up to 4700 kW

    Exhaust Temp: 960F quasi const. Heat Recovery Primary Production:

    Hot water 400 F Secondary usage of recovered heat:

    steam 76 psig, cold water 33 deg. F Low Emissions

  • 11

    Project Execution

    New turbine after installation

  • 12

    Turbine Up-Rate Benefits

    Centaur 40 to Taurus 60 Conversion

    No change in operating and management costs Rated power: increase by 57% Typical operating power: increase from 2800 kW to 3200 kW Maintenance Cost: increase of service contract fee by 33% Fuel Cost per kW: reduction, due to better efficiency Heat recuperated: better quality, due to higher exhaust temperature. Actual

    operation of new turbine ensures quasi constant exhaust temperature at variable exhaust flow. New operation is perceived as ensuring an increase in hot water production.

    Total blackouts were eliminated

    OPERATIONS & MAINTENANCE COSTS AND BENEFITS

  • 13

    Remote Monitoring

    REMOTE CONTROL ACCESS, MONITORING AND DIAGNOSIS

    Part of a quality long term service agreement Monitoring early changes of equipment health

    indices and supplying proper maintenance as deemed necessary

    Monthly (typical), weekly or daily (if needed) turbine health monitoring reports

    Better scoping and planning of next scheduled term maintenance

    Additional help when solicited Optional help from the service provider, when

    opportune Remote tuning of control parameters, when such

    service is appropriate

  • 14

    Analysis Tools

    SPECIFIC SITE CONDITIONS-AMBIENT TEMPERATURE

    0%

    5%

    10%

    15%

    20%

    25%

    30%

    35%

    40 50 60 70 80 90 100 110 120

    %

    o

    p

    e

    r

    a

    t

    i

    n

    g

    t

    i

    m

    e

    Deg.Fambient

    T1ambient,histogram,Rice

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    4 5 14 23 32 41 50 59 68 77 86 95 104

    %

    o

    p

    e

    r

    a

    t

    i

    n

    g

    t

    i

    m

    e

    T1ambient,Deg.F

    T1histogram,Unit1and2

    0%

    5%

    10%

    15%

    20%

    25%

    35 40 45 50 55 60 65 70 75 80 85 90 95

    %

    o

    f

    o

    e

    p

    r

    a

    t

    i

    n

    g

    t

    i

    m

    e

    AmbienttemperatureT1,deg.F

    T1ambient,Rady

    Ambient temperature profile is site specific and extremely well differentiated

  • 15

    Analysis Tools

    MONITORING DATA

    0%

    5%

    10%

    15%

    20%

    25%

    30%

    2500 2700 2900 3100 3300 3500 3700 3900 4100 4300 4500

    %

    o

    p

    e

    r

    a

    t

    i

    n

    g

    t

    i

    m

    e

    kW

    Histogram,Outputpower,Rice

    0%

    5%

    10%

    15%

    20%

    3100 3300 3500 3700 3900 4100 4300 4500 4700 4900 5100 5300 5500

    %

    o

    p

    e

    r

    a

    t

    i

    n

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    t

    i

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    e

    kWe

    Histogram,outputpower,Ref.Unit1

    0%

    2%

    4%

    6%

    8%

    10%

    12%

    14%

    25002700290031003300350037003900410043004500470049005100

    %

    o

    p

    e

    r

    a

    t

    i

    n

    g

    t

    i

    m

    e

    kWe

    Histogram,outputpower,Ref.Unit2 Operating profile depends of

    many objective and subjective factors

    Unit 1 and Unit 2 although identical and in parallel, have different operating profiles

  • 16

    Analysis Tools

    MONITORING DATA

    2000

    2500

    3000

    3500

    4000

    4500

    5000

    5500

    6000

    20 10 0 10 20 30 40

    k

    W

    e

    T1amb,deg.C

    kWe vs.T1,alldata,Ref.Unit1

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    4500

    5000

    20 40 60 80 100 120

    G

    e

    n

    e

    r

    a

    t

    o

    r

    o

    u

    t

    p

    u

    t

    ,

    k

    W

    T1ambient,deg.F

    kWe vs.T1,alldata,Rice

    1000

    2000

    3000

    4000

    5000

    6000

    20 10 0 10 20 30 40

    k

    W

    e

    deg.C

    kWe vs.T1,alldata,Ref.Unit2 Typical indicators: kWe, CDP, SCF, TTex Each regressed at baseload(function of T1) or at any load (function of T1 and % command)

    Deviations actual to expected matched to most common faults

    Appropriate maintenance scoped and scheduled at nearest term service

  • 17

    Analysis Tools

    MONITORING DATA

    90

    100

    110

    120

    130

    140

    20 40 60 80 100 120

    P

    C

    D

    ,

    p

    s

    i

    g

    T1ambient,deg.F

    CDPvs.T1,alldata,Rice

    600

    700

    800

    900

    1000

    1100

    1200

    1300

    20 10 0 10 20 30 40

    P

    C

    D

    ,

    k

    P

    a

    Tiambient,deg.C

    CDPvs.T1,alldata,Ref.Unit1

    600

    700

    800

    900

    1000

    1100

    1200

    1300

    20 10 0 10 20 30 40

    k

    P

    a

    deg.C

    CDPvs.T1,alldata,Ref.Unit2 CDP is a direct health indicator for turbine compressor

    It is well known that periodic service is required

    It is also related to the air inlet filter house

    Easier to assess baseload data, more complex based on all data

  • 18

    Analysis Tools

    MONITORING DATA

    0.8

    0.85

    0.9

    0.95

    1

    1.05

    1/1/12 3/31/12 6/29/12 9/27/12

    k

    W

    e

    ,

    a

    c

    t

    u

    a

    l

    /

    e

    x

    p

    e

    c

    t

    e

    d

    Date

    kWratio baseload,Ref.Unit1

    50

    30

    10

    10

    30

    50

    0.80.850.9

    0.951

    1.051.1

    1.151.2

    2/1/2012 4/2/2012 6/2/2012 8/2/2012

    T

    a

    m

    b

    d

    e

    g

    .

    C

    k

    W

    e

    ,

    a

    c

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    /

    e

    x

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    c

    t

    e

    d

    Date

    kWratiobaseload,Ref.Unit2

    0.6

    0.7

    0.8

    0.9

    1

    1.1

    1.2

    9/14/2011 1/12/2012 5/11/2012 9/8/2012 1/6/2013

    k

    W

    e

    a

    c

    t

    u

    a

    l

    /

    k

    W

    e

    e

    x

    p

    e

    c

    t

    e

    d

    Date

    kWratio,RiceUniv.

    kWRatio

    Ratio of kW actual / kW expected at baseload makes easy to assess significant changes in engine performance and helps reveal possible causes

  • 19

    Analysis Tools

    MONITORING DATA

    y=21x+5550

    2000

    2500

    3000

    3500

    4000

    4500

    5000

    0 20 40 60 80 100

    k

    W

    e

    T1ambient,deg.F

    kWe vs.T1,baseload,RiceUniv.

    y=31.275x+5179

    200025003000350040004500500055006000

    20 10 0 10 20 30 40

    k

    W

    e

    T1amb,deg.C

    kWe vs.T1,baseload,Ref.Unit1

    y=31.275x+5179

    200025003000350040004500500055006000

    20 10 0 10 20 30 40

    k

    W

    e

    Tamb,deg.C

    kWe vs.T1atbaseload,Ref.Unit2 Regression of parameters at baseloadvs. ambient temperature

    Regression parameters are specific to each turbine

    Differentiation of effects kW as overall parameter, CDP, TTex, T5 spread and SFC allow differentiation between turbine components

  • 20

    alysis Tools

    MONITORING DATA

    0.4

    0.6

    0.8

    1

    1.2

    1.4

    1.6

    011 1/12/2012 5/11/2012 9/8/2012 1/6/2013

    k

    W

    a

    c

    t

    u

    a

    l

    /

    k

    W

    e

    x

    p

    e

    c

    t

    e

    d

    Date

    CDPratioandkWratio,RiceUniv.

    PCDRatiokWRatio

    100

    200

    300

    400

    500

    600

    0.8

    0.85

    0.9

    0.95

    1

    1/1/12 4/10/12 7/19/12 10/27/12

    T

    5

    ,

    T

    7

    d

    e

    g

    .

    C

    P

    C

    D

    ,

    a

    c

    t

    u

    a

    l

    t

    o

    e

    x

    p

    e

    c

    t

    e

    d

    Date

    CDPratioandTTex,Ref.Unit1

    T7

    450

    470

    490

    510

    530

    550

    570

    590

    2012 3/22/2012 5/11/2012 6/30/2012 8/19/2012

    D

    e

    g

    .

    C

    Date

    CDPratioandTTex,Ref.Unit2

    0

    1000

    2000

    3000

    4000

    5000

    0.9

    0.95

    1

    1.05

    1.1

    1.15

    1.2

    1.25

    1.3

    8/1/11 11/1/11 2/1/12 5/3/12 8/3/12 11/3/12 2/3/13

    G

    e

    n

    e

    r

    a

    t

    o

    r

    o

    u

    t

    p

    u

    t

    ,

    k

    W

    P

    C

    D

    r

    a

    t

    i

    o

    Date

    CDPRatioandkW,alldata,Rice

    PCDRatio

    kW

  • 21

    alysis Tools

    MONITORING DATA

    Specific Fuel Consumption is extremely sensitive to any degradation occurring inside the turbine

    Care should be taken to consider effects of load change besides ambient temperature

    0 1000 2000 3000 4000 5000Generatoroutput,kW

    SFC,Btu/kWHR,Rice

    y=0.001116x2 9.912x+3239

    9000

    9500

    10000

    10500

    11000

    11500

    12000

    12500

    13000

    3200 3400 3600 3800 4000 4200 4400

    B

    t

    u

    /

    k

    W

    H

    R

    Generatoroutput,kW

    SFC,Baseload,Rice

    y=17.678x+9351.8

    0 50 60 70 80 90 100 110Tiambient,deg.F

    SFCBaseloadT1,Rice

  • 22

    EA 2013, February, San Diego

    APPLYING TECHNICAL EXPERTISE AND SKILLS AT SCHEDULED TERM MAINTENANCE AND BETWEEN INTERVALS BY REMOTE

    MONITORING

    Borescope inspections Vibrations data collection and analysis Remote monitoring and real time performance analysis, with real

    time plot of multiple engine health indicators

    Combustion Dynamics monitoring and automatic corrective actions Periodic maintenance

  • 23

    EA 2013, February, San Diego

    CONCLUSIONS

    as turbine maintenance is a key service to providing steady performances, high

    vailability and reliability for the equipment. As important as initial design and

    ubsequent upgrades

    otal plant optimization concept

    ase study: Turbine upgrade - Rady Childrens Hospital (San Diego) cogeneration

    cility

    ase study: Turbine analysis tools - Rice University (Houston)

    reventive maintenance and analysis designated to better planning term

    aintenance services. Daily, weekly and monthly visual reports generated

    utomatically.