demonstration of clyde bergemann water cannons at miller ... at miller... · demonstration of clyde...
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Demonstration of Clyde BergemannWater Cannons at Miller Unit 1
Charles BoohakerMike CarlisleBrian Mead John SorgeSouthern Company
EPRI Heat Rate Improvement ConferenceJanuary 28 – 30, 2003 Birmingham, Alabama
Background
z Alabama Power Miller Unit 1y 660 MW, Commercial operation October 1978y B&W opposed wall-fired furnace
x B&W DRB low NOx burners (56), B&W MPS 89 mills (7)x Compartmentalized windboxx Tube material: SA-210-A1 (medium carbon steel)
z Started using PRB coal in mid-1990s (Unit 1 - 1999)y Change in furnace slagging characteristics
x Installed water lances for water wall cleaning (Diamond Power)• Furnace walls - 20 IK-4M-WL and IK-4M-PA• Upper rear wall - 2 IK-545 Selective Pattern• Furnace division walls - 6 Selective Pattern (3 per side)
x Continuous water wall cleaning (~ three hour cycle time)x Decreased water wall life due to quench crackingx Increased condensate makeup water requirements
Quench Cracking
z Quench cracking dependent ony Velocity of water stream used to clean surface (pressure)y Progression velocity of water streamy Cross-sectional area of water stream (nozzle diameter)y Slagging condition at time of cleaning (clean / dirty)y Tube material (carbon-steel vs. low-chromium alloy)y Cleaning cycles
x Can have multiple temperature cycles per cleaning cycle
Refs:Water Blowing of Fireside Deposits in Coal-Fired Utility Boilers (EPRI CS-4914)
Quench Cracking
Circumferentialcrack leading to steam leak
crazing patternon the surface
tube at nose arch2.75" OD x 0.290" MWT, SA210 A-1cleaned by water lance
cracks inprogress
Primary Goals
z Extend life of water wall sections by mitigating quench cracking
z Reduce plant condensate makeup requirements by using filtered water instead of condensate for cleaning
z Possible other benefitsy Improved boiler efficiencyy Reduced NOx Emissions
Program Schedule
z Installation - Nov. 2001 - Feb. 2002z CBI conducted testing - Feb. 2002z Program Testing - Mar. 2002 - Feb. 2003z Reporting - Mar. 2003
Installation Summary
z Late October 2001 project approvalz Installation during previously scheduled outage
y Mechanical ~ 3 weeks / 6 days week / 10 hour daysx 4 water cannon bent tube openings (~18’ x 50’, 8 tubes) x 24 heat flux tube sections
y Unit back on-line late December 2001 y Electrical ~ 4 weeks; most with unit online
z Operating in program (manual) mode week of Feb. 8z Operating in auto (feedback) mode week of Feb. 18z Continue optimization and debugging of systemz Installation of auto-tuning modules (3 Qtr 2002)
Cleaning Zones
OutsideFront Wall
OutsideRear Wall
Outside LeftSide Wall
Outside RightSide Wall
Water CannonExisting Sootblowers
Heat Flux Sensor
Operations / Reliability to Date
z Running mostly in auto mode since February 18z Very little operator interaction requiredz Some sections being cleaned too often è adjustment of
targeted heat flux levelsz Failure of supply line to cannon(s)z Failure of data acquisition panel (1 of 2)z Adjustment of jet progression velocity and pressure to
limit tube temperature rise
Testing and Assessing Benefits
z Testing mostly passive – unit runs as normalz Track water consumption of lances / cannons
y Frequency / duration of cleaning cyclesy Peak use / annual use
z Cracking of waterwall tubesy Visible inspection of waterwall tubes in area of previous damagey Tube samples in area of previous damagey Use of CBI fast data & faster sampling of waterwall
temperaturesy Use of tube failure models
Testing and Assessing Benefits
z Furnace Heat Absorption and Efficiencyy Gas temperatures (furnace / economizer exit )y Spray flowsy Boiler steaming capacityy Steam temperatures (superheat / reheat)y Boiler efficiency
z Generation Capacity / Unit Availabilityz Emissions
y Flue gas characteristicsx NOx, temperature
Clyde BergemannPerformance Testing
z Conducted Feb. 18-21, 2002z Elements
y Temperature and gaseous composition (NOX, CO, O2) at nose of furnace
y Data logging through DCS/PI and CBI systemy Furnace wall emissivity
z Unit full load during entire periodz Several modes of operation tested
Clyde BergemannPerformance Testing
z Findingsy Improvement in heat transfer distribution (more consistent)y Slight reduction in FEGT è greater overall energy transfer in
waterwallsy Reduction in NOx emissions (10%) as measured at nose of
furnacey No observable change in boiler efficiency
Testing Nov. 22, 2002
z Goaly Verify CBI collected temperatures y Faster sampling (~15 ms vs. 200 ms)y Higher precision
z Used spare thermocouples on CBI heat flux sensorsz Sampling system was Agilent 34970Az Four runs to date
Run 1Comparison of Surface Temperatures
400 450 500 550 600 650 700700
720
740
760
780
800
820
840
860
880
900
Tem
pera
ture
(D
egF)
Time (Seconds)
Run 1 / Nov. 22, 2002
CB Fast DataDatalogger
400 450 500 550 600 650 700650
700
750
800
850
900
Tem
pera
ture
(D
egF)
Time (Seconds)
Run 1 / Nov 22., 2002
CB Daily FileCB Fast DataDatalogger
Zone 415Channel A09 / 9Water Cannon # 4West furnace wall
Data logger trend shifted in time and biased
Run 1Surface vs. Subsurface Temperature
Zone 415Channel A09 / 9Water Cannon # 4West furnace wall
0 20 40 60 80 100 120660
680
700
720
740
760
780
800
820
840Run 1 / Nov. 22, 2002
Time (Seconds)
Tem
pera
ture
(D
eg F
)
TC 1TC 2
40 42 44 46 48 50 52 54 56 58 60660
680
700
720
740
760
780
800
820
Run 1 / Nov. 22, 2002
Time (Seconds)
Tem
pera
ture
(D
eg F
)
TC 1TC 2
TC1 – SurfaceTC2 - Subsurface
TC1 - SurfaceTC2 - Subsurface
Run 2Surface vs. Subsurface Temperature
Zone 410Channel A10 / 10Water Lance IK WL 09West furnace wall
0 10 20 30 40 50 60 70 80 90 100660
680
700
720
740
760
780Run 2 / Nov. 22, 2002
Time (seconds)
Tem
pera
ture
(D
egF)
2 4 6 8 10 12 14 16 18 20
670
680
690
700
710
720
730
740
750
760
770
Run 2 / Nov. 22, 2002
Time (seconds)
Tem
pera
ture
(D
egF)
TC 1TC 2
TC 1TC 2
TC1 - SurfaceTC2 - Subsurface
Run 3Surface vs. Subsurface Temperature
Zone 308Channel B09 / 21Water Lance IK WL 20East furnace wall
0 20 40 60 80 100 120 140700
710
720
730
740
750
760
770
780
790Run 3 / Nov. 22, 2002
Time (Seconds)
Tem
pera
ture
(D
eg F
)
TC 1TC 2
30 35 40 45 50 55 60 65700
710
720
730
740
750
760
770
780
790
800Run 3 / Nov. 22, 2002
Time (Seconds)
Tem
pera
ture
(D
eg F
)
TC 1TC 2
TC1 - SurfaceTC2 - Subsurface
0 20 40 60 80 100 120700
710
720
730
740
750
760
770Run 4 / Nov. 22, 2002
Time (Seconds)
Tem
pera
ture
(D
eg F
)Run 4Surface vs. Subsurface Temperature
50 55 60 65 70 75700
710
720
730
740
750
760Run 4 / Nov. 22, 2002
Time (Seconds)
Tem
pera
ture
(D
eg F
)
Zone 303Channel B10 / 22Water Cannon #3East furnace wall
TC1 - SurfaceTC2 - Subsurface
TC1TC2
TC1TC2
Long-Term Data
z Data sourcesy Plant DCS / PI system
x Normal plant data such as excess O2, load, gas temperature
y CBI daily log filesx Few plant parameters plus water cannon flow information such as
flow, pressure, cannon, zone, heat flux, surface temperature, etc.x 30 second sample
y CBI fast data filesx Waterwall surface temperatures (only when cleaning that zone)x Nominally 200 millisecond sample
Typical Surface Temperature Profile Over 24 Hours
HEATFLUX_1_SURFTEMP
770
780
790
800
810
820
830
840
11/30 04:48 11/30 09:36 11/30 14:24 11/30 19:12 12/1 00:00 12/1 04:48 12/1 09:36
Source: Daily log file for December 1, 2002
Example of Surface Temperatures During Cleaning
Sensor01
640
660
680
700
720
740
760
780
800
820
840
1 38 75 112 149 186 223 260 297 334 371 408 445 482 519 556 593 630
Tem
pera
ture
(D
egF)
Source: fast data file for December 1, 2002
Distribution of Temperature Droop and Gain(April 2002 - November 2002)
Temperature Droop
Temperature (Deg F)
Fre
quen
cy
0 100 200 300 400 500
010
0020
0030
0040
00
Temperature Gain
Temperature (Deg F)
Fre
quen
cy
0 20 40 60 80 100
020
040
060
080
010
0012
00
Droop
Gain
Source: fast data files April 2002 – November 2002
Distribution of Cleaning Cycle EventsTemperature Droop > 0°F, < 50°F(April 2002 - November 2002)
20020405 20020525 20020707 20020815 20020920 20021027
Cleaning Events with Droop > 0 DegF
FastFile
Cou
nt
050
100
150
20020405 20020525 20020707 20020815 20020920 20021027
Cleaning Events with Droop < 50 DegF
FastFile
Cou
nt
050
100
150
Source: fast data files April 2002 – November 2002
Distribution of Cleaning Cycle EventsTemperature Droop > 100°F, > 200°F(April 2002 - November 2002)
20020408 20020508 20020607 20020801 20020825 20020914
Cleaning Events with Droop > 200 DegF
FastFile
Cou
nt
010
2030
4050
6070
20020405 20020525 20020707 20020816 20020921 20021028
Cleaning Events with Droop > 100 DegF
FastFile
Cou
nt
010
2030
4050
6070
Source: fast data files April 2002 – November 2002
Boiler Tube Life
z Failure = Cracking = f (TInitial, TDroop, material, frequency)z Statistical approach
y Identify temperature transients - worst, best, typicaly Determine historical (12 months) use of water cannonsy Compare to water lance induced transients
z Identify tube failure model(s)y Direct calculation (non-FEM)y Determine sootblowing impacts on quench cracking
z Run temperature data through models
Summary
z Installation y No major problems / should have done more with unit online
z Operations / Reliability to Datey Relatively few problemsy Plant staff have positive impression and are installing on other unitsy Little training to date, more required for operations, I&C
z Performancey Balanced heat flux in furnacey Still open questions on NOx and efficiency y Many cleaning events have temperature drop greater than 100°Fy Some zones cleaned considerably more than other zones