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© 2016 Aurora Energy Research Limited. All rights reserved.
CONFIDENTIAL: NOT FOR EXTERNAL DISTRIBUTION
The impact of tidal lagoons on the GB power market
Aurora Energy Research
22 September 2016
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Executive summary
Source: Aurora Energy Research
1 Assuming average household consumes 4MWh of power a year
Aurora’s analysis finds that if 25GW of tidal were to enter the system by 2030,
- Tidal would provide more than 10% of GB’s total power generation, enough to power 9 million households1 in the
UK
- CO2 emission could be reduced by 36% in 2035, amounting to a total CO2 savings of 130MT in the GB power
system from 2020-2040
- This would cost the system an additional £0.7billion/year, translating to a £8-9 increase in annual household
electricity bills
If Hinkley C and subsequent nuclear projects were cancelled,
- Replacing nuclear with tidal would be cheaper than replacing nuclear with wind in terms of average cost of CO2
reduction, by around £11/tonne
- Replacing nuclear with tidal would also cost the system an additional £1.7billion, compared to replacing Hinkley
with CCGT
- However, tidal would provide the system with 19MT of CO2 savings per year, allowing UK to meet its carbon
target
Our analysis also finds that tidal imposes less indirect costs on the system, compared to wind;
- 25GW of tidal could save the system up to £270million in balancing market spending, compared to adding 15GW
of wind on the system
- Average intermittency costs from 2025-2040 is also lower for tidal at £14/MWh, compared to that of wind at
£17.5/MWh
Most of tidal’s intermittency cost is driven by the need for back-up capacity. Given the predictable nature of the back-
up required, these costs could potentially be reduced through direct contracting with dispatchable capacity or other
bespoke mechanisms.
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1. System impact: direct costs to consumers
– Scenarios with Hinkley C
– Scenarios with no Hinkley C
2. Other impact: indirect costs
3. Appendix
Contents
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We ran four scenarios to examine the potential impact of tidal lagoons on the GB energy market
Source: Aurora Energy Research
Scenario Description
Base caseAurora’s base case forecast (with Hinkley C)
No tidal to enter
Swansea only 0.3GW of tidal to enter in 2020
Swansea & Cardiff 3.6GW of tidal by 2027
All lagoons 25.3GW of tidal by 2030
SYSTEM IMPACT: WITH HINKLEY
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The entry of tidal results in less CCGT and peaking plants entering the market, but more batteries
Source: Aurora Energy Research
1 Peaking includes both OCGT and reciprocating engines
2 Others include all renewables (biomass, solar, onshore & offshore wind, hydro and marine), nuclear and interconnector
Tidal provides reliable and predictable generation which competes with CCGT for baseload generation, driving down CCGT entry
More batteries also enter to take advantage of tidal’sintraday production pattern
This results in less peakers entering as batteries provide cheap flexible capacity
83.8 83.8 83.8
15.0 15.4
17.4 17.9 16.314.3
11.214.3
25.3
4.1
Swansea
only
3.65.9
4.0
83.8
2.7
Swanse
a &
Cardiff
2.7
All
lagoons
2.72.7
0.3
Base
case
0.04.0
Installed capacity in 2035,
GW
OthersPeakingBattery Storage
Pumped StorageTidal CCGT
SYSTEM IMPACT: WITH HINKLEY
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Tidal also provides significant amount of baseload generation, reducing the need for CCGT
Source: Aurora Energy Research
1 Peaking includes both OCGT and reciprocating engines
2 Others include all renewables (biomass, solar, onshore & offshore wind, hydro and marine), nuclear and interconnector
By 2035, 25GW of tidal provides more than 10% of total power generation
Power generation from CCGT reduces by 35% from the base case as less CCGT enters and existing CCGTs run fewer hours
266 266 265 265
77 78 7149
36
-2
351
12
351
Swanse
a &
Cardiff
All
lagoons
10
-1-1 -2
1
-3-2
352
7
351
6
Swansea
only
Base
case
11
-1 -2
0
Others
Tidal
Pumped Storage
PeakingBattery Storage
CCGT
Power generation in 2035,
TWh
SYSTEM IMPACT: WITH HINKLEY
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Tidal reduces wholesale prices in the 2030s
Source: Aurora Energy Research
With all lagoons in place by 2030, baseload electricity price is reduced significantly. This is because tidal
– pushes more expensive plant out of merit
– sets the price in some periods; tidal sets the price 4% of the time in 2030
25
30
35
40
45
50
55
2015 2020 2025 2030 2035 2040
-£6/MWh
All lagoons
Swansea & Cardiff
Swansea only
Base caseBaseload electricity price
(2014 £/MWh)
SYSTEM IMPACT: WITH HINKLEY
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The capacity market could cost £150m/year less on average, with CM prices £3/kW lower
Source: Aurora Energy Research
Tidal provides significant amount of baseload generation
This reduces the need to procure additional CCGTs through the capacity market, resulting in lower CM prices
The lower CM prices save the system £150m/year on average from 2020 -2035
Capacity market prices,
£/kW
4
8
0
16
12
-£3/kW on average
2025/26 2030/312020/21 2035/36
All lagoons
Swansea & Cardiff
Swansea only
Base case
SYSTEM IMPACT: WITH HINKLEY
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Household electricity bills increase by £8-9/year due to higher CfD costs
Source: Aurora Energy Research
1. Calculated based on the following assumptions: domestic consumes 30% of total UK power generation and total number of households in UK projected to be 27million in 2030
System spending, 2020-2040 average
£ bn/year (real 2014)
4.4
18.1
0.34.0
4.4
0.34.0
Base case
18.1 17.0
All lagoons
+3%
26.9 27.627.126.9
Swansea
& Cardiff
4.0
18.0
0.2
4.7
4.00.4
Swansea only
6.3
CfDCapacity Market
Wholesale spendingROCs
Additional cost to annual
household electricity bill1
£0.25 £8.50£2.80
In the all lagoons scenario,
there is a £1.1bn savings in
wholesale market due to
lower electricity prices
The 25GW of tidal requires
an additional £1.9bn in CfD
spending
SYSTEM IMPACT: WITH HINKLEY
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Tidal reduces power system CO2 emission by 11MT per year
Source: Aurora Energy Research
1. Our emissions data are calculated on a per plant basis using an econometric model of historical plant dispatch, emissions and fuel use.
2. Average cost calculated based on average of 2027-2040 CO2 emissions and system spending
CO2 emissions1 per year,
MtCO2
0
40
60
2035
80
20
2030 204020202015 2025
-11
All lagoonsSwansea only
Swansea & CardiffBase case
Total CO2
emissions, 2020-
2040, MtCO2:
781
778
652
755
SYSTEM IMPACT: WITH HINKLEY
Average cost of
CO2 reduction2 =
£100/tonne
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1. System impact: direct costs to consumers
– Scenarios with Hinkley C
– Scenarios with no Hinkley C
2. Other impact: indirect costs
3. Appendix
Contents
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We also ran three scenarios where Hinkley does not get built
Source: Aurora Energy Research
Scenario1 Description
CCGT to replace HinkleyMost economically efficient alternatives
However, carbon target is not met
Wind to replace Hinkley
Additional 15GW of wind on top of current level enters to replace nuclear
capacity
Carbon target is met
Tidal to replace Hinkley25GW of Tidal enters to replace nuclear capacity
Carbon target is met
1. We assume that if Hinkley C does not get built, all proposed nuclear projects in the UK are subsequently delayed indefinitely (Sizewell C, Wylfa Newydd, Oldbury B, Moorside, Bradwell B)
SYSTEM IMPACT: NO HINKLEY
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Wholesale electricity prices are lower when Hinkley is replaced by wind or tidal, compared to CCGT
Source: Aurora Energy Research
20
30
40
50
60
70
2015 2020 2025 2030 2035 2040
-£9/MWh
Tidal to replace HinkleyCCGT to replace Hinkley
Wind to replace Hinkley
Baseload electricity price,
£/MWh (real 2014)
SYSTEM IMPACT: NO HINKLEY
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There would be 3.8GW less CCGT on the system if tidal were to replace Hinkley, compared to wind replacing Hinkley
Source: Aurora Energy Research
1 Peaking includes both OCGT and reciprocating engines
2 Others include all other renewables (biomass, solar, hydro and marine), nuclear and interconnector
Tidal provides significant amount of baseload generation, replacing the need for CCGT
On the other hand, wind still requires large amount of CCGT to provide reliable baseload generation
44.9 44.9 44.9
26.013.4
18.4
18.4
14.8
13.0
16.0
28.6
27.3
23.5
15.1 13.0
25.3
CCGT to
replace Hinkley
2.7 2.72.7
Wind to
replace Hinkley
3.7 0.0
2.8 0.0
3.6
Tidal to replace Hinkley
Installed capacity in 2035,
GWTidal
Battery Storage Wind onshore
Peaking
CCGT
Others
Pumped Storage
Wind offshore
SYSTEM IMPACT: NO HINKLEY
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Existing CCGTs also run fewer hours with more tidal and wind on the system
Source: Aurora Energy Research
1 Peaking includes both OCGT and reciprocating engines
2 Others include all other renewables (biomass, solar, hydro and marine), nuclear and interconnector
100 109 116
8147
41
42
3244
114161 106
39
11
351
-2
7
CCGT to replace Hinkley
351
Wind to replace Hinkley
0
Tidal to replace Hinkley
-1
352
8
0 -2
0
-1
0
Others
CCGT
Wind offshorePeaking
Pumped StorageWind onshoreTidal
Battery Storage
Power generation in 2035,
TWh
SYSTEM IMPACT: NO HINKLEY
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Replacing Hinkley with wind or tidal both require an additional £1.7bn in system spending, compared to CCGT
Source: Aurora Energy Research
System spending1, 2030-2040 average
£ bn/year (real 2014)
4.5
+1.7+1.7
Tidal to replace Hinkley
28.9
20.9
Wind to replace Hinkley
28.9
2.90.1 0.4
3.1
19.5
CCGT to replace Hinkley
0.9
27.23.1
6.4
21.3
1.7
ROCs Wholesale spending
CfDCapacity Market
SYSTEM IMPACT: NO HINKLEY
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Replacing Hinkley with tidal achieves a greater carbon reduction than replacing Hinkley with wind
Source: Aurora Energy Research
4042
59
CCGT to replace Hinkley Wind to replace Hinkley Tidal to replace Hinkley
-17 -19
Average CO2 emission from 2030-2040 in UK power system,
MtCO2 per year
SYSTEM IMPACT: NO HINKLEY
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The cost of reducing carbon is thus £11/tonne cheaper with tidal replacing Hinkley, compared to wind
Source: Aurora Energy Research
90
101
-10.2%
Wind to replace Hinkley Tidal to replace Hinkley
Average cost of carbon reduction from 2030-2040,
£/tonne
SYSTEM IMPACT: NO HINKLEY
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2. Other impact: indirect costs
- Balancing market
- Cost of intermittency
Contents
3. Appendix
1. System impact: direct costs to consumers
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OTHER IMPACT: BALANCING MARKET
To give a complete assessment of tidal’s impact, we also consider the indirect costs
Source: Aurora Energy Research
Direct costs to consumers Indirect costs
Wholesale market spending
Capacity market spending
ROCs spending
CfD spending
Balancing market spending
Intermittency costs
2nd Section1st Section
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In section 2, we ran three scenarios to compare the impact of tidal and wind on the system
Source: Aurora Energy Research
Scenario Description
Base caseAurora’s base case forecast (with Hinkley C)
No tidal to enter
Tidal 25.3GW of tidal by 2030
Wind 15GW1 of additional wind on the system by 2030
1. 25GW of tidal is required to achieve same annual production as 15GW of wind as tidal has an average load factor of 19% while wind has an average load factor of 30%
OTHER IMPACT: BALANCING MARKET
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OTHER IMPACT: BALANCING MARKETTidal does not contribute to imbalance, but 15GW of wind increases imbalance volumes by 35% on average
Source: Aurora Energy Research
180
215 215
435
180180
195195195
+34.9%
Base Tidal
630 630
850
Wind
4040 40
Demand
Solar
Thermal
WindAverage imbalance from 2030-2040
MWh
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OTHER IMPACT: BALANCING MARKET
25GW of tidal requires on average £266million/year less BM spending, compared to having 15GW of wind
Source: Aurora Energy Research
1 assuming all balancing costs are passed onto consumers and spread evenly across all units of consumption; calculated based on the following assumptions: 27 million households in UK by 2035 and 30% of total power consumption comes from domestic sector
355
Base
+244
599
-22
Tidal Wind
333
System spending on balancing market, 2030-2040 average
£ million/year (real 2014)
Additional cost to annual
household electricity bill1
- £0.30 £3.00
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OTHER IMPACT: BALANCING MARKET
More batteries enter with tidal on the system, flattening cash-out prices
Source: Aurora Energy Research
An additional 4.2GW of li-ion enters under the tidal scenario
Li-ion provides cheap balancing capacity and flattens the cash-out prices
Cash-out price
£/MWh
5.7
Base Wind
1.5
4.8
Tidal
+4.2
80
40
20
0
90
70
60
50
30
10
2040203020202015 2025 2035
TidalBase Wind
Li-ion capacity in 2035
GW
SHORT
LONG
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2. Other impact: indirect costs
- Balancing market spending
- Cost of intermittency
Contents
3. Appendix
1. System impact: direct costs to consumers
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Intermittent generators
create imbalance which
pushes up the cost of
demand (i.e. consumer)
imbalance
Intermittent generators
cannot be relied upon
during the winter peaks
and so additional
backup is needed from
the capacity market
Intermittent generators
may produce electricity
at periods of low
demand instead of
when consumers would
really benefit from it
(Note: this incorporates
‘spill’ costs)
To calculate the cost of intermittency, we look at the following 3 drivers
Source: Aurora Energy Research
OTHER IMPACT: COST OF INTERMITTENCY
Poorly-timed
power
Need for
backup
Consumer
imbalance
cost
The cost of intermittency – the additional costs imposed on the energy system
resulting from the timing and predictability of a given generation technology’s
power output relative to a case where the same number of MWhs are generated
evenly over every hour of the year
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Wind has a higher cost of intermittency than tidal, driven by its power coming at worse times
Source: Aurora Energy Research
OTHER IMPACT: COST OF INTERMITTENCY
Tidal has a smaller cost of
intermittency due to poor
timing as it oscillates at a
reasonably constant
frequency and seems to
have some seasonal
variation that matches with
the electricity price
Intermittency cost from
consumer imbalance is also
smaller as tidal is more
predictable
However, tidal has a larger
CM cost of intermittency as:
1. It procures more
flexible capacity
2. It runs during the peaks
and so decrease the
profitability of CM
participants and raises
their CM bids
11.7
14.0
4.0
-1.7
Tidal
2.6
17.514.5
Poorly-
timed power
0.4
Consumer
imbalance
Need for
backup
Total
Wind
Cost of intermittency (average 2025-2040),
£/MWh production
Cost of intermittency (average 2025-2040),
£/MWh production
© 2016 Aurora Energy Research Limited. All rights reserved.
CONFIDENTIAL: NOT FOR EXTERNAL DISTRIBUTION
Appendix - methodology
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In practise we quantify the cost of intermittency by comparing intermittents to a baseload equivalent
Source: Aurora Energy Research
1. 25GW of tidal is required to achieve same annual production as 15GW of wind as tidal has an average load factor of 19% while wind has an average load factor of 30%
APPENDIX: METHODOLOGY
Baseload
equivalent
Intermittent
generation
System has an additional
251 GW of tidal compared
to today’s levels
151 GW of wind compared
today’s levels
System has same annual
production from the
additional renewables
However, the MWh are
spread evenly throughout
year like nuclear
Our power market model allows us to
calculate the system wide effects of removing
the intermittency of wind and tidal, by running
two scenarios
Our model forecasts the electricity, capacity
and balancing markets in an internally
consistent way
Electricity
market
Capacity
market
Balancing
market
Half-hourly electricity prices
Consumer electricity spending
out until 2040
Annual generation mix
Capacity market prices and
bids consistent with other two
markets
Half-hourly cash-out prices
Charges for all imbalance
producing parties
Profits for thermal plants taking
part in the BM
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We can compare the differences in consumer spending across the markets to calculate these costs
Source: Aurora Energy Research
APPENDIX: METHODOLOGY
Electricity market Balanacing marketCapacity market System with
intermittent plant
System with
baseload plant
Other Capacity marketBalancing market Electricity marketCosts to the consumer, £/year
Costs of intermittency
ILLUSTRATIVE
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Aurora has developed a comprehensive and internally consistent model for these markets
Source: Aurora Energy Research
APPENDIX: METHODOLOGY
Energy Capacity
Balancing
Input assumptions
Technology
(capex,
performance,
learning rates)
Policy (changes
to existing
regulation,
renewables build
out, nuclear)
Fuel prices
Market outcomes
New build entry
and existing
decisions and
levels
Half hourly
electricity and
cash-out prices
Yearly capacity
market prices
Plant level
revenues
Entry and exit of every technology calculated, not assumed
Peaking plants
OCGTs
Gas recips
Embedded
Centralised
Diesel recips
Storage
Lithium ion
Paired with intermittent
Paired with domestic solar
Paired with industry
Paired with dispatchable
CAES
CCGT
Coal
DSR
Common process
Manufacturing processes
Inside of model Recalculated
thousands of
times to produce
internally
consistent solution
Forecasts rational
investor behaviour
for correct entry
and exit of plants
Decisions in each
market affect all
others correctly
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There is cost of intermittency in the EM due to the steepness of the merit order at high demand levels
Source: Aurora Energy Research
APPENDIX: METHODOLOGY
30
80
0
10
70
50
20
40
60
NuclearCCGTPeakers Coal Biomass
Generation
capacity, GWOvernight/summer
demand
Peak
demand
Electricity
price, £/MWh
20
10
0
40
50
30
70
80
60
A
B
C
D
Saving from a zero marginal cost unit of energy = A - B
Saving from a zero marginal cost unit of energy = C - D
A B
C D
Intermittent generation tends to occur in low demand periods (either overnight or during summer)
Baseload however hits both peak and off-peak periods equally
The cost of intermittency is this potential savings loss from these poorly placed MWhs
A B C D( – ) – ( – )
Cost of intermittency =
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The cost of intermittency for the BM arises as intermittentsraise the cash-out price for everyone else as well
Source: Aurora Energy Research
Intermittents create imbalance, increasing the need for balancing services…
APPENDIX: METHODOLOGY
…which raises cash-out prices above what they otherwise would have been…
…increasing the cost of imbalance for everyone else (so raising consumer bills)
Balancing offers, £/MWh
Imbalance in
baseload
scenario
Imbalance in
intermittent
scenario
The extra imbalance in this
half hour means more
expensive balancing offers
need to be taken
All imbalance is charged at
the clearing price (cash-out
price)
60
70
80
90
100
2020 2030 203520252015
Baseload equiv.
CCC wind targets
In early years, the system
doesn’t have chance to
adjust to the increased
balancing revenues
available
Cash out prices are
therefore higher on average
100
2025
20
0
2015
80
2030 2035
60
2020
40
Additional balancing spend, £mCash-out price (short), £/MWh
Every MWh of imbalance
from demand forecasting
error was previously at
lower cash-out prices
The additional imbalance
from intermittents may
increase this
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The intermittent plant has the same load factor as its baseload equivalent, but needs more CM backup
Source: Aurora Energy Research
APPENDIX: METHODOLOGY
While both plants have the
same load factor, the
baseload equivalent is de-
rated at its load factor, but
the intermittent plant far
less
This means more CM
capacity needs to be
procured for the intermittent
case
This extra spending is a
cost of intermittency
20
30
10
40
0
60
50
47
40
0
20
60
30
50
10
42
Other capacity needed to meet peak WindDemand in sample 3 days, GW
Time
Baseload
equivalent
Intermittent
generation
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