Engine based power plants lead the way

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

Contents

2 © Wärtsilä

• Introduction

• Fuel flexibility. Operational flexibility.

• Where?

– Flexible intermediate load and baseload.

– Clean wind additions: gas and LBF plants.

– References

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

Combustion engine fuel flexibility

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

https://fiidm01.wnsd.com/kronodoc/2502/tha010/My Documents/general.mpg

Applications

I. Peak & Intermediate load

II. Wind enabler

III. Flexible base load

II

III

I

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

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

8 © Wärtsilä

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!

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

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

10 © Wärtsilä

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

12 © Wärtsilä

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

13 © Wärtsilä

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)

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


Application III. Flexible base load


• Capable of base load, continuous

• Open or Combined Cycle: /effic 50%

• Installed base: 26.7 GW (Dec 2010)

• Fuel options:




Flexible base load: Flexicycle 500MW

• LBF types as backup for large power plants


• Capable of base load, continuous

• Open or Combined Cycle: /effic 50%

• Installed base: 26.7 GW (Dec 2010)

• Fuel options:



III

Inside the Power House

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

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

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


Pavana III, Lufussa, Honduras

Fuel: Heavy Fuel

Prime movers: 16 x Wärtsilä 18V46

Base load: 273 MW


Smart Power Generation

21 June 2011 Electricity markets23 © Wärtsilä

THANK YOU