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Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 1
MAGNUS GENRUP, ENERGY SCIENCES
Ångturbinseminariet 2019
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 2
Sedan sist…
• ASME IGTI
• PowerGen Int’l -18
• Ken Cotton Seminar
• Facklitteratur och fackpress
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 3
What is new?
• Combined cycle performance will (eventually) call for 650°C turbines- Maximum today is 605…650°C- Expensive HRSG and piping- Nu such CFB with biomass…
• Less than 30 minutes hot start-up time for the entire GTCC- 1400 MW in 28 minutes
• Maybe 700°C power plants – or?- 50 percent barrier still not breeched
• Flexibility
• AI (loads of IoT, ML,…)
• General Electric acquired Alstom -15
• Expected aerodynamic development - Retrofit capability
• ORC et al. is gaining momentum- Same old turbine?
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 4
Organic Rankine cycle – ORC
3 4
5
962
4 5
88
9
12
6
3
Alternator
Regenerator
Condenser
Sink
Pump
Evaporator
Heat source
Tem
pera
ture
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 5
Germany week 18 -16
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 6
German wind power – VGB
Courtesy of VGB, ”ELECTRICITY GENERATION 2017|2018 – Facts and Figures
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 7
German and European wind power – VGB
Courtesy of VGB, ”ELECTRICITY GENERATION 2018|2019 – Facts and Figures
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 8
Germany December -17
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 9
Flexibility steam turbines
VOC Improve Operability/Expand
operation range
ImprovementLoad following Capability
Grid Frequency Stabilization
Contents A Shorten startup durationB Maximum load operationC Minimum load operation
D Improve load change rateE improve load frequency control
F Grid Stabilizationcontrol
TechnicalRequirement
for Steam Turbine /
Generator
A Differential Expansion/Thermal Stress prediction and Optimization
B Over load valve, Heater Cutting Operation
C BFPT EHC, Auto changeover of main pump
D/E Stress prediction and optimization
• Overload valve • Sliding pressure control• Condensate stop operation• Heat cutting operation
F Fault Ride Through
A. Shorten Startup Duration
B. Max. Load operation
C. Min. Load Operation
E. Improve Load Frequency Control
D. Improve Load Change Rate F. Grid
Stabilization Control
Load
Time
• UK grid code requires constant output down to 49.5 Hz Stay on-line (i.e. no trip!) to 47 Hz (!!!)
with pro rata power output Brown-out capacity (0 V for 0.14 s) Rotor- and blading dynamics?
• Future Swedish requirements?• Operation without external grid?
Base
d on
Tan
uma
& Ta
dash
i, “A
dvan
ces
in S
team
Tur
bine
s fo
r Mod
ern
Pow
er P
lant
s”
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 10
CSP – tower type
Figu
re c
ourte
sy to
Als
tom
Cold tank
Hot tank
Foto
by
Mon
ika
Tope
l, KT
H
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 11
CSP – tower type with direct steam generation
Figu
re c
ourte
sy to
Als
tom
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 12
• Turbine casing heating Used for CSP Lower-casing heating for long units
• Increased seal steam temperature Tricky
• Increased seal steam pressure Easy…
• Hot-air heating Effective but costly KKAB and Mälarenergi (+ new GE patent)
• Ventilation work• Stress controller
Start-up flexibility
2lenght expansion coefficient temperature difference16 casing diameter 2
h
Hot air
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 13
Fatigue
Life cycles, [n]
Stre
ss a
mpl
itude
, [σ a
]
Low-cycle fatigue High-cycle fatigue
Fatigue limit
σσa
σa
Time
Stre
ss
Failure
No failure – no crack initiation
105…7
Wöhler- or σ,N curve
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 14
Turbine stress controller
Computer model for rotor temperature distribution f(T1,time)
ΔT=f(T1)
Evaluate real σ stress from σ=f(ΔT) and average rotor temp (Tavg)
Evaluate allowed stress and controllimits σLim=f(T1,Tavg) @design lifing
Evaluate relative stress σ/σlim
Loading and un-loading margins for turbine control
Turbine governor (speed and loading)
σ Tavg
σlim
T1
T1
Tavg
ΔT
Upprullningsregulator
Panntrycksbegränsare
Steg-/gradientbegränsare
Maxeffekt - generator
Maxeffekt - delturbin
Slagbegränsare
Frekvens/effektregulator
MIN
Väl
jare
MAXVK-2 Tryck
Minlast
Adm Tryck MIN
Ventilläges-regulator
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 15
Chemistry
• Typical issue when starting… However anyway always an issue…
• Must be within limits for the turbine!• Corrosion and deposits
Lower swallowing capacity and efficiency Vibration problems
• Always follow the turbine OEM recommendation• Some deposits requires rotor removal• Establish clear routines for N, AL1, AL2 and AL3
(cf. VGB R 450 Le) AL3 is shutdown within one hour!
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 16
Environment assisted crack
Materials
Stress
Environment
• SCC• Dynamic SCC• Corrosion fatigue
• Static stress• Repetitive stress• Vibration stress
• Strength – high is more suspicious for SCC
• Impurities etc.
Corrosive environment
• Temperature• Wetness*• Dissolved oxygen• Impurities in steam• Start-up and shutdown
*Wilson zone
Base
d on
Tan
uma
& Ta
dash
i, “A
dvan
ces
in S
team
Tur
bine
s fo
r Mod
ern
Pow
er P
lant
s”
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 17
Operational flexibility
• Swallowing capacity by-pass• Extra “arc” for turbines with c-stage
Always an efficiency penalty
• Top-heater(s) shut-down or by-pass Thrust forces may be an issue
• Condensate pump temporary shut-down Hotwell- and DEAE sizing?
• Extra top-heater for low-load operation Typically in concert with capacity by-pass
• Load changes in throttling mode
• Gas turbine in the preheating train
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 18
Operational flexibility – condensing tail
IP-DH LP
V1 V2
V3V1 V2 V3
Hea
t flu
x 0…
100%
Control 0…100%T
Q
1p
dTm cdQ
Min. flow• De-coupling power from heat load
Värtan, Västerås and Malmö Run overnight in heat mode
• Ultimate flexibility – fast!• Suitable sink necessary• Fourth-generation DH?• Unfortunately little possibility for retrofit• LPT ventilation protection
DHC1
DHC2
DHC2 DHC1
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 19
Extension to fourth generation DH
• 45°C DH feed temperature with DHC2 and DHC1• DHC3 and DHC2 for ”higher” DH feed
temperatures – potential risk for LP ventilation at hot return temperatures
• SSS-clutch between IPT and LPT
SSSIP-DH LP
V1 V2
V3
Min. flow
BFV
ORCSOLAR
City45…100 °CHeat Load
Local renewablesDHC3 DHC2 DHC1
Min Δp
Was
te h
eat
Heat
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 20
Boiler flexibility – HRSGs
B&W NEM
,nom
r pt
Alstom
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 21
NEM Drum Plus™
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 22
NEM Drum Plus™
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 23
Turbine technology
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 24
Refreshing the turbine technology – reaction vs. impulse
Large shaft trust
Impulse/Low-reaction*• High stage loading – low(er) stage count• Low axial trust on the rotor• High-turning robust blades• Low radius for diaphragms seals• Reduced tip leakage flow
Reaction• Low stage loading – high(er) stage
count• Higher (?) stage efficiency• High axial trust – balance piston
often required• Symmetrical vanes and blades• High radius for vane seals• Large rotor Δp
Balance hole
Some shaft trust
Low seal radius
Pres
sure
gra
dien
t
Pres
sure
gra
dien
t
Too low acceleration?
*Most impulse design retain a minimum level of rotor hub acceleration (i.e. a certain level of hub-reaction)
Very lossy!!!
032
2
2 1 tan
cos2 2 1s
hu
uh
Loading equations:
~2%
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 25
Skoda steam turbine technology – low reaction
Control stageHP stages
Balance holes
Inner casing
Riveted shrouds
Honeycomb seals
• Pin-type blade attachment C-stage• Low-radii HP-section for tall blades
Reduce need for two-casings design• Balance holes
Lower shaft thrust• Riveted shrouds• Honeycomb shroud seals
De-swirling vanes for reduced mixing loss• Traditional casing flanges
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 26
Speed level – geared vs. direct drive
U ω r 1 12 2
1 1 1 1
60sin sin sinm m m
V u c V u cm vld c d u d n
21 UU
2
1
@ 90
cos2 1is
uc
High
Low
l
dm
dm
mArea d l
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 27
Skoda MTD40
Courtesy of Skoda
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 28
SKODA MTD30
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 29
Industrial low-reaction HP-turbineVAX II or SST-700
Courtesy to Siemens
• Geared design• No horizontal flange (barrel mount)• 170…230 m/s blade speed*
Thrust bearing
Radial bearing
Radial bearing
Shaft seal
Shaft seal
Extraction
Extraction
*48…87 kJ/kg per stage @ U/Cs = 0.55
0.9* 7.2 Reksc
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 30
Industrial LP-turbineVAX II or SST-700
Courtesy to Siemens
• Horizontal flange• 210…300 m/s blade speed*
*73…148 kJ/kg per stage @ U/Cs = 0.55
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 31
Industrial IP-turbineSST-900
Courtesy to Siemens
L-1 Temperature probe
Extractions
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 32
Turbine blades
• Advanced three-dimensional blading Short vs. tall blades C-shaping
• Both CFD and testing is required• Bang for the buck?
Other losses such as leakage etc. are often more important
Siemens
Skoda
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 33
Advanced seals
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 34
Stage flow model
Seal
Seal
Hole21
01
mh
31
02,gap
mh
2 3
Gap C.V.
1 ,3 1
01 ,3 1
gap i
gap i
m m
h h
TE 22
0 X
mh
Stage C.V.
,3
,3
gap i
gap i
m
h
2m 3m
p2 p3
23
0 X
mh
21 22 23
1n nX X
X
E m m mEp p Ep
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 35
Partial arc admission
TS #1
Arc #1
TS #2
ESV
CV1
CV2
CV3
CV4
Rot
or #
1
Control stage
Arc #4
Arc #3
Arc #2
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 36
Partial arc admission – stage loading4 arcs – design 2 arcs ~ 50 percent flow
Arc #1
TS #2
ESV
CV1
CV2
CV3
CV4
Rot
or #
1 p2
p11
p12
p13
p14
Arc #2
Arc #3
Arc #4
TS #1
2 2
, -i j
T i ji i
p pm C
p v
M1=0.65M1=1.16
Ψ=3.4Ψ=1.5
ClosedVWO
PRTS=1.36PRTS=2.38
Δη≈12 %-units
Higher aero-loading at part load!
M1,rel=0.30 M1,rel=0.78
2188 kW 2828 kW
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 37
Hybrid control mode
Ken Cotton, ”Evaluating and Improving Steam Turbine Performance”, 2nd ed.
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 38
Monitoring
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 39
Monitoring plan
• Gradual or abrupt?
• Efficiency- Only dry steam
• Swallowing capacity
• Leakage flows- Steam traps etc.
• Heat exchangers
• Vibrations- Valves
• Machine learning (ML)
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 40
Typical turbine damage mechanisms'
StilleståndskorrosionDeposits Stand-still corrosion Corrosion fatigue
Stress corrosion Pitting
In-adequate conservation
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 41
Typical turbine failure modesM
ater
ial
Perf
orm
ance
Creep
Embrittlement
Fatigue
Environment assisted crack
Thermal fatigue
Low-cycle fatigue
Fretting
Dynamic SCC*
Static SCC*
Corrosion fatigue
Crack
Crack
Crack
Crack
Crack
Crack
Crack
Brittle fracture
Softening
Creep
Wear/rubbing
Erosion/FAC
Scale deposition
Type of deterioration Mode of deterioration Damage or incidence
Loosening
Deformation
Efficiency decrease
Efficiency decrease
Efficiency decrease, stick, rubbing
HP/IP shroud, blade groove, HP/IP casing, main pipes, main valves
HP/IP rotor
HP/IP heat groove, bottom of blade root groove
LP last blades groove of LP rotor, HP/IP casings
HP/IP blade groove of rotor
Blade groove of LP rotor
Blade groove of LP rotor
Blade root and groove, shroud and profile
Casing bolts (high temperature)
HP/IP diaphragm nozzle plate (impulse), HP/IP rotor and inner casings (leak)
Seals, bearings, valve shafts
Control stage nozzle and LP last stages
HP/IP nozzles and blades, main valves
Typical damaged portion
*Stress corrosion cracking
Base
d on
Tan
uma
& Ta
dash
i, “A
dvan
ces
in S
team
Tur
bine
s fo
r Mod
ern
Pow
er P
lant
s”
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 42
Swallowing capacity
ii
2j
2i
jiT,2
j
ii
ijiT,ji vp
ppC
pp
11vpCm
pi
pj
CT,i-j
vi
i
ii
ijiT,ji
TpKm
pzRTv
vpCm
The Stodola cone rule can be written as:
If pi>>pj then the simpler form appears:
Logarithmic differentiation yields1):
TΔT
21
pΔp
mmΔ
1) N.B. Only if superheated – i.e. an ideal gas!!!
1)
1)
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 43
The summation rule of turbine constants
TS #1
p1
TS #2 TS #3 TS #n
p2 p3 pn pn+1
11
2
21,
22
21 vp
CmppT
22
2
32,
23
22 vp
CmppT
33
2
43,
24
23 vp
CmppT
nn
nnTnn vp
Cmpp
2
1,
21
2
2
11,
112
12
1,
22
1,2
43,
332
32,
222
21,
112
1
21
221
21 ...
nT
n
i iiT
ii
nnT
nn
TTT
n
iiin
Cvpm
Cvpm
Cvp
Cvp
Cvp
Cvpmpppp
n
i iiT
ii
nT Cvp
Cvp
12
1,2
11,
11
11
2
11,
21
21 vp
CmppnT
n
n
i iiT
iiiExtr
nT Cvp
mm
Cvp
12
1,
2,
211,
11 1
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 44
The Cotton method
Condition Flow pc-stage pHRH pX-O ηHP ηIP
Increase A HPT, c-stageIncrease A IPT, stg #1Decrease A HPT, c-stageDecrease A IPT, stg #1Decrease A HPT, stg#2Increase A HPT, stg#2Decrease A LPT
pc-stage
pHRHpX-O
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 45
The STAL-LAVAL K0 method
1el0 x
i adm
PKp T
0 1 0 1 2 0
1
01
1 1
... 1
I II III
mel ext adm m
jj
h h hP m
h
The power output can be written as:
~ ~ xadm i im m p
The relation between flow and pressure may be written as:
The ratio between power and stage pressure can hence be thought of as a gauge of the efficiency and capacity.
Ref: STAL-LAVAL Service Information, Preventive Checks on Smaller Range of Condensing Turbo-Alternators, STAL-Laval, 1967
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 46
Steam traps
ThermodynamicMechanical
Thermostatic
Simple to monitor by simple temperature measurements!
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 47
Repair technology
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 48
Balance hole cracking – weld repairing
• Two discs with balance hole cracks• Weld repair – disk build-up!
Blade attachments?
Courtesy of TG Advisers
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 49
Blade lift
Suction side
Pressure side
Suction side
Pressure side
+
+
+
-
-
Compressor Turbine
Stagnation point, p1=p0,1
Stagnation point, p1=p0,1plocal-p1
L
D
L
Dplocal-p1
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 50
Turbine profiling
*Thin boundary layers
Maexit
MaSS,max (<1.2 if possible)
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.2 0.4 0.6 0.8 1.0Axial distance (x/b)
Mac
h #
MaPS,min
Mainlet
Smooth accelerations*
N.B. Schematic
Throat
Avoid LE over-speed(s) Marchal quality factor:
<0.6∙Mss,max
𝐷𝑀𝑎 , 𝑀𝑎
𝑀𝑎 ,0.20 … 0.25 𝐷
𝑀𝑎 𝑀𝑎 ,𝑀𝑎 0.45
𝑅𝑎𝑡𝑒 𝑝𝑎𝑟𝑎𝑚𝑒𝑡𝑒𝑟𝐷
∆𝑙 𝑙⁄ 0.6
𝑄 1𝑥
𝑠𝑏𝑠
∆𝑝1 2⁄ 𝜌𝑐
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 51
Performance test
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 52
Guarantee test
LPG
FWT/DEAE
Mixing heater
Gea
r
Gea
r
HPc-stage
• Contractual agreement stipulates the test code DIN 1943 IEC ASME
• Bring in a consultant with real experience!!!
• No testing with operational instruments!!!
• Calibrated devices• Follow the check list• Operation as intended?• Remember the prosciutto and
the scale!
Heat balance
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 53
Uncertainty – an introduction
Prob
abilit
y de
nsity Standard deviation confidence
level = 68.269%
2σ confidence level = 95%
True
val
ue
Dur
atio
n
Mea
sure
d av
erag
e
+σ-σ+2σ-2σ
1
1 n
ii
x xn
2
1
1
n
ii
x
x xs
n
• With an infinite number of readings the estimatedstandard deviation will be approach the true standarddeviation S – with a confidence level of 68.269%
• For a finite value of n (i.e. n ≤ ∞), the Student t-factor isintroduced as:
• This is normally referred to as the “two sigma” valuebecause it is 1.960 times the standard deviation at n ≤ ∞
• The 2σ-value quantifies the component of testuncertainty which is due to precision (random) errors
• Bias errors are mitigated by calibration!
ixx
st s t
n
x
x
Lund University / Energy Sciences / Magnus Genrup / 2019-02-19 Page 57