2c.1scheianufinalidea 2013 conference slides wood group dorin
DESCRIPTION
Conferencia TecnosolarTRANSCRIPT
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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
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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
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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
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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
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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.
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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.
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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
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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)
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8Equipment Layout
Natural Gas
Hot Water 400 F
Chilled water 33 F
Steam 76 psig
Absorption cycle
Exhaust gas 860F
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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
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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
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11
Project Execution
New turbine after installation
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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
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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
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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
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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
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r
a
t
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g
t
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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
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p
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t
i
m
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AmbienttemperatureT1,deg.F
T1ambient,Rady
Ambient temperature profile is site specific and extremely well differentiated
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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
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r
a
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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
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r
a
t
i
n
g
t
i
m
e
kWe
Histogram,outputpower,Ref.Unit1
0%
2%
4%
6%
8%
10%
12%
14%
25002700290031003300350037003900410043004500470049005100
%
o
p
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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
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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
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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
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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
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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
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u
a
l
/
e
x
p
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c
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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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/
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x
p
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c
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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
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a
l
/
k
W
e
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x
p
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c
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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
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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
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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
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a
l
/
k
W
e
x
p
e
c
t
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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
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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
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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
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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
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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.