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© Wärtsilä Modelling Batteries in Hybrid Power Plants Miikka Jokinen, Business Development, Wärtsilä Energy Business

Modelling Batteries in Hybrid Power Plants

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Page 1: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

Modelling Batteries in Hybrid Power PlantsMiikka Jokinen, Business Development, Wärtsilä Energy Business

Page 2: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

A hybrid power plant combines at least two different power plant types

HYBRID POWER PLANT

Thermal power plant

Renewables

Battery energy storage

system (BESS)

Key drivers

1. Financial

• Savings to fuel and maintenance costs

2. Environmental

• Reduced fuel consumption → lower emissions

3. Reliability

• Components complement each other

• Careful system planning and operation required

Page 3: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

Batteries enable renewables and help thermal units

Enabling renewables

1. Smoothing output

2. Peak shaving

3. Energy shifting

Reserve capacity

1. Thermal (spinning) reserve replacement

2. Renewable output reserve

BESS IN HYBRID PLANT

QUANTIFY VALUE

with a Plexos ®

power system model

Page 4: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

SPINNING RESERVE REPLACEMENT

0

2

4

6

8

10

Unit 1 Unit 2 Unit 3 Unit 4 Unit 5 Unit 6

Po

wer

(MW

)

Output and reserves: 4+2

Output 30.6 MW

Spinning

Stand-by

0

2

4

6

8

10

Unit 1 Unit 2 Unit 3FAULT

Unit 4comingonline

Unit 5 BESS

Po

wer

(MW

)

Output and reserves with BESS: (3+BESS)+2 fault

Output 30.6 MW

Spinning

Stand-by

0

2

4

6

8

10

Unit 1 Unit 2 Unit 3 Unit 4FAULT

Unit 5comingonline

Unit 6

Po

wer

(MW

)

Output and reserves: 4+2 fault

Output 30.6 MW

Spinning

Stand-by

0

2

4

6

8

10

Unit 1 Unit 2 Unit 3 Unit 4 Unit 5 BESS

Po

wer

(MW

)

Output and reserves with BESS: (3+BESS)+2

Output 30.6 MW

Spinning

Stand-by

NO BESS WITH BESS

Page 5: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

Model

Page 6: Modelling Batteries in Hybrid Power Plants

© Wärtsilä 23.11.20206

WÄRTSILÄ’S PLEXOS MODELLING APPROACH

Existing capacity

Profiles

Load & Reliability

Spinning reserve

Load risk

Ren. forecast risk

Load growth

Demand Costs

Fuels

Gas, Coal, HFO, LFO prices

Thermal CAPEX

ICE

OCGT

CCGT

Coal ST

RE & ES CAPEX

Wind

Solar PV

Hydro

4 h Battery

30 min Battery

Price dev. from Bloomberg NEF

FO&M

VO&M

Start costs

Ramp costs

Supply

M

O

D

E

LTechno-economic

optimization:

minimize costs, while

meeting demand + technical

constraints

Chronological dispatch

New build options

Page 7: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

Cost optimal battery size and application

Only a few parameters needed for BESS

• Size: 1 MW / XX MWh

• Costs: CAPEX (USD/kW), OPEX (Fixed O&M)

• Round-trip efficiency 88% (95% charge/discharge, 98% inverter)

• If built, part of the storage capacity is reserved for spinning reserve (minimum SoC)

Then it is about how they are used in the model

• Different storage sizes have different costs & applications.

• Power battery = 2C rating. Lowest cost per power, highest cost per energy. For reserves only.

• Energy battery = 1C rating and below. For energy shifting and reserves.

• Technical constraints, e.g.

• Short circuit protection requires several times nominal current to function

• For this, BESS would have to be oversized: rule of thumb (1.2 * Max Load) for ½ hour

• Typically not feasible with today’s prices

BATTERIES IN PLEXOS

Page 8: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

Case example: Large mine in Africa

Isolated grid in a remote location

• independent electricity production

• liquid fuels

• expensive transportation

Good renewable resources

• stable solar output throughout year

• Capacity factor 28%

Demand profile

• Peak demand 39 MW

• Average demand 27 MW

• 63% of the time demand below 30 MW

Real case. Today’s realistic prices & performance.

MODELLING A HYBRID PROJECT

1 2 3 4 5 6 7 8 9 10 11 12

0

0.2

0.4

0.6

0.8

1

0 2000 4000 6000 8000

Months

So

lar

ou

tpu

t (%

)

Hours

1 2 3 4 5 6 7 8 9 10 11 12

0

5

10

15

20

25

30

35

40

45

0 2000 4000 6000 8000

Months

Dem

an

d (

MW

)

Hours

Page 9: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

Chronological, hourly model, today’s prices

MODELLING DETAILS

Case 1: Full thermal

x 6

10.2 MW

Design principle n+2

Operating as n+1

1 unit as backup

x 5

10.2 MW

Case 2: Thermal + BESS

Optimized= 8.2 MW / 4.1 MWh

Design principle n+1+BESS

Operating as n+BESS

1 unit as backup

x 5

10.2 MW

Case 3: Thermal + BESS + PV

Optimized= 7.9 MW / 7.9 MWh

Design principle n+1+BESS

Operating as n+BESS

1 unit as backup

Optimized= 32 MW

Technical constraints:

Short circuit current: 1 engine running at all times.

Spinning reserve requirement for 15 minutes.

Ability to operate without solar.

Page 10: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

Lifecycle value of a hybrid: payback in 3 years, depends on fuel price

Savings of Full hybrid and Thermal + Battery against 100% Thermal• The investment for 100% thermal plant stands at ca. $70m, and annual

OPEX at ca. $30m (excluding CAPEX)

Thermal + Battery vs 100% Thermal:

• -$9m investment

• -$0.5m/year opex

• Insensitive to fuel price

Full Hybrid vs 100% Thermal:

• +$25m investment

• -$8m/year opex

• Sensitive to fuel price (note: optimal renewable penetration changes)

Figure shows cumulative savings against 100% thermal, achieved with Thermal + Battery (blue line) and Full Hybrid solution (yellow line).

The dashed lines represent the effect of ± 20% changes to the fuel price (13 ± 3 $/GJ). The higher the fuel price, the steeper the savings curve.

-30

-20

-10

0

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30

40

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60

70

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0 2 4 6 8 10Cu

mu

lati

ve s

avin

gs

(m

$)

Year

Savings by Full Hybrid

Savings by Thermal + Battery

High fuel price

Low fuel price

Page 11: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

0.0

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Dispatch week 9 of year 2020 - Case 03 5xEngines-optBESS-optPV Fuel 1.0

Battery Discharge

Solar Curtailed

ICE #6

ICE #5

ICE #4

ICE #3

ICE #2

Solar PV

ICE #1

Battery Charge

Demand

BESS ”peak shaving”, shifting 0.6% of total demand per year

BESS produces 75% of reserves.

Page 12: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

Chronological, hourly model, today’s 2028 prices

MODELLING DETAILS

Case 1: Full thermal

x 6

10.2 MW

Design principle n+2

Operating as n+1

1 unit as backup

x 5

10.2 MW

Case 2: Thermal + BESS

Optimized= 8.2 MW / 4.1 MWh

= 10.2 MW / 5.1 MWh

Design principle n+1+BESS

Operating as n+BESS

1 unit as backup

x 5

10.2 MW

Case 3: Thermal + BESS + PV

Optimized= 7.9 MW / 7.9MWh

= 10.6 MW / 41.4 MWh

Design principle n+1+BESS

Operating as n+BESS

1 unit as backup

Optimized= 32 MW

= 40 MW

Technical constraints:

Short circuit current: 1 engine running at all times.

Spinning reserve requirement for 15 minutes.

Ability to operate without solar.

Page 13: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

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Dispatch week 9 of year 2028 - Case 03 5xEngines-optBESS-optPV Fuel 1.0

Battery Discharge

Solar Curtailed

ICE #6

ICE #5

ICE #4

ICE #3

ICE #2

Solar PV

ICE #1

Battery Charge

Demand

BESS ”peak shaving”, shifting 4% of total demand per year.

BESS produces 92% of reserves.

Page 14: Modelling Batteries in Hybrid Power Plants

© Wärtsilä

CONCLUSIONS

Optimal buildout & savings achieved very sensitive to inputs.

Every project needs to be optimized individually.

BESS with thermal, 8 MW

One thermal unit replaced with 8.2 MW spinning reserve battery → less upfront investment

Spin. Res. with BESS saves fuel

• Thermal running on part-load is less efficient

No value in adding energy shifting batteries

8.2 MW BESS replaced 80% of spinning reserves. For 100% spinning reserve replacement, BESS needs to be cheaper and fuel more expensive.

• Cost of renewable energy + storage vs.

cost of thermal dispatch

• Batteries enable more renewables

• 30 MW without BESS, 32 MW with BESS

• Energy shifting now possible, but not economically favorable in large scale (today).

However, this is bound to change…

BESS in full hybrid

Page 15: Modelling Batteries in Hybrid Power Plants