Engine based power plants lead the way
Transcript of Engine based power plants lead the way
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POWER GENERATION
Engine based power plants lead the way
Jean Paul Claisse
Business Developer Manager, South-America South
Wärtsilä Power Plants
Mercado Eléctrico – Buenos Aires, 15-06-2011
1 © Wärtsilä
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Contents
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• Introduction
• Fuel flexibility. Operational flexibility.
• Where?
– Flexible intermediate load and baseload.
– Clean wind additions: gas and LBF plants.
– References
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Wärtsilä Power Plants
• A major supplier of flexible base load power plants operating
on various liquid and gaseous fuels
• Unique dynamic solutions for grid stability, reserve, peaking, load
following and intermittent power generation
• Worldwide leader in Liquid Bio Fuel power plants
Supported with tailored lifetime operation and maintenance services.
3 © Wärtsilä 3 © Wärtsilä
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Combustion engine fuel flexibility
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500300100
Plant size MW
501051
NG, LFO, HFO, LBF
NG, AG
NG = Natural Gas
AG = Associated Gas
LFO = Liquid Fuel Oil
HFO = Heavy Fuel Oil
CRO = Crude Oil
LBF = Liquid Biofuel
Plant ranges & Fuel flexibility
NG, AG
W34SG
W50SG
W34DF
W50DF
NG, LFO, HFO, LBF
W46GD
W32GD NG, AG, LFO, HFO, CRO
NG, AG, LFO, HFO, LBF, CRO
NG, AG Flexicycle
W20 LFO, HFO, LBF
W46
W32
LFO, HFO, LBF
LFO, HFO, LBF, CRO
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Applications
I. Peak & Intermediate load
II. Wind enabler
III. Flexible base load
II
III
I
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21 June 2011 WÄRTSILÄ POWER PLANTS7 © Wärtsilä
• Power range: 1-500 MW
– Liquid oils (LFO, HFO, LBF, CRO)
– Gases (NG, LNG, Associated gas)
• Load following to baseload flexibility
• Open cycle 45% efficiency
• Stable efficiency vs load
• Fastest start-stops (cold reserves) w/no degradation
Application I. Peak & Intermediate load
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0 5 10 15 20 25 30 35 40 45 50 mins
80
70
60
50
40
30
20
10
0
90
100
Load %
55
Coal Fired power plant
Loading sequences for different technologies
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80
70
60
50
40
30
20
10
0
90
100
Load %
Combined Cycle power plant (CCGT)
Industrial GT power plant (SCGT)
Aeroderivative GT power plant (SCGT)
Combustion Engine power plant
Note: Start up times from warm stand-by!
5 minutes to full load!
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Superior load following
20
25
30
35
40
45
40 45 50 55 60 65 70 75 80 85 90 95 100
Pla
nt
eff
icie
nc
y,
ne
t (%
)
Plant load (%)
Part load efficiency
1 x Ind. GT 10 X Combustion Engine 1 x Aero GT
June 21, 2011
10 units7 units 9 units8 units5 units 6 units
GT performances by GTPro
15 °C, 10 bar NG
Simple Cycle
Multiple units enable highest possible energy efficiency
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Application II. Wind Enabler
WIND INTEGRATION CHALLENGES
“The true cost of Wind”
• Non-dispatchable, variable component added to a grid
• Reduction of load + cycling impacts on thermal plants
• Means to relieve:
– Geographical diversity
– Addition of fast dynamic balancing capacity
• 100 % in small grids
• 25-35 % in large grids
– Demand side management
– Strengthening the grid
• High Capex
• Grid losses
The true cost of wind integration is the sum of the
costs of the wind power plants, and the additional
costs to balance the system
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Examples of Wind Variability
ERCOT April 18, 2009
MW
Increase of ~4,000 MW in 2hrs
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Examples of Wind Variability
ERCOT June 10, 2009
MW
Decline of ~3,000 MW in < 1h
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Case Colorado, USA, grid stability
PLAINS END GENERATING
FACILITY, COLORADO, USA
Type: Grid stability
Engines: 20 x Wärtsilä 18V34SG
14 x Wärtsilä 20V34SG
Total output:227 MW
Fuel: Natural gas
Installed: 2002 and 2008
Remote controlled from Colorado
Dispatch Center
Total wind generation drops (green curve) from 700 MW to 350 MW during 1 hour
Grid stability Power Plants based on gas fired combustion engine gensets
are started, providing fast reaction to the change (red and white curves)
Screen shot from Colorado Dispatch
Center, Xcel Energy, USA
The Plains End Generation facility is balancing
Colorado’s 1000 MW wind power capacity
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Wind chasing requires Flexibility
• Agility of dispatch
– 5/10 minutes from 0 to full load
– Fast ramp rates up & down
– Unrestricted up/down times
– High starting reliability
• Low operation cost
– High efficiency
– Any plant output with high efficiency
– Minimum impact of cyclic operation
• High unit reliability
– Typical unit availability >96%
– Typical unit reliability >97%
– N-2 Firm Capacity.
• Fuel flexibility
– Natural gas operation
– Liq. fuel (LBF, LFO, HFO)
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Firm capacity
Availability
Firm capacity
22x18V
50S
GC
CG
T (
2-2
-1)
Typical reliability data for Wärtsilä gas engines:
• Unit availability > 95%
• Unit reliability > 97%
• Unit starting reliability > 99%
Days
Days
MW
MW
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21 June 2011 WÄRTSILÄ POWER PLANTS16 © Wärtsilä
Application III. Flexible base load
• Power range: 1-500 MW
• Capable of base load, continuous
• Open or Combined Cycle: /effic 50%
• Installed base: 26.7 GW (Dec 2010)
• Fuel options:
– Liquid oils (LFO, HFO, LBF, CRO)
– Gases (NG, LNG, Associated gas)
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21 June 2011 WÄRTSILÄ POWER PLANTS18 © Wärtsilä
Flexible base load: Flexicycle 500MW
• LBF types as backup for large power plants
• Power range: 1-500 MW
• Capable of base load, continuous
• Open or Combined Cycle: /effic 50%
• Installed base: 26.7 GW (Dec 2010)
• Fuel options:
– Liquid oils (LFO, HFO, LBF, CRO)
– Gases (NG, LNG, Associated gas)
III
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Inside the Power House
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Gral. references: 300 MW, Azerbaijan and 270 ME, Turkey
Sangachal, Azerbaijan
Fuel: Natural Gas/Heavy Fuel
Prime movers: 18 x Wärtsilä 18V50 DF
Base load: 308 MW
Year of completion: 2006
Aliaga, Turkey
Fuel: Natural Gas
Prime movers: 28 x Wärtsilä 20V34SG
Base load: 270 MW
Year of completion: 2007, 2008 and 2010
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Gral. references – Geramar, 330 MW, Brazil
Geramar I and II, Brazil
Fuel: HFO
Prime Movers: 38 x Wärtsilä 20V32
Base Load Power Plant: 332 MW
Year of completion: 2009/2010
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Gral. refs: 203 MW, USA and 273 MW, Honduras
Pearsall, TX, USA
Fuel: Natural Gas
Prime movers: 24 x Wärtsilä 20V34 SG
Base load: 203 MW
Year of completion: 2010
Pavana III, Lufussa, Honduras
Fuel: Heavy Fuel
Prime movers: 16 x Wärtsilä 18V46
Base load: 273 MW
Year of completion: 2003
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Smart Power Generation
21 June 2011 Electricity markets23 © Wärtsilä
THANK YOU