aitf es technoeconomics-nov 20 v2
TRANSCRIPT
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Techno-economics of Energy
Storage
Puneet Mannan Grid Resilience through Energy Storage in
SW Ontario November 20, 2013
780 450 5380
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The Study Objective
Advance the techno-economic understanding of
select energy storage technologies in the Alberta
context
Provide some measure of quantification of the
value of Power-to-Gas (PtG), battery and
Compressed Air Energy Storage (CAES)
technologies in the Alberta electricity market
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Selection of Technologies
Reasonably mature for grid scale implementation, cover a broad range of technical and operating constraints
CAES System components generally mature; exposure to
Natural Gas prices
Sodium-Sulphur (NaS) Batteries Relatively small-scale; exhibits asymmetry in parasitic
loads
Power-to-gas (PtG) Complex operation; multiple value propositions;
varying technical maturity
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Selection of Wind Farms
Represent wind farm from
north of Pincher Creek area
Wintering Hills
Castle River
Castle River
Wintering Hills
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Buy/Sell Decision Criteria
Switch price
Each hour of the year
Inventory level, current average cost of inventory, and
variable operating cost
Inventory ↓, switch price ↑ to a max. limit
Inventory ↑, switch price ↓ (subject to a min. limit
= sum of inventory + variable cost)
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Modelled Cases
Base Case
Merchant
Wind Power
Generator
Behind-the-Fence
Merchant
Operator
Battery CAES
Power-
to-Gas
1
Battery CAES
Power-
to-Gas
1
Power-
to-Gas
2
Power-
to-Gas
2
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Wind Facilities – Monthly Output
-
5,000
10,000
15,000
20,000
25,000
30,000
35,000
January March May July September November
Ele
ctri
icty
Ou
tpu
t (M
Wh
)
Wintering Hills Castle River
Wintering Hills Normalized Castle River Normalized
Wintering Hills Castle River
Capacity Factor 37.9% 32.3%
Capacity 88 MW 39 MW
Zero Hours 1046 2288
Source: Natural Resources Canada
Castle River
Wintering Hills
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Results
$-
$50
$100
$150
$200
$-
$500
$1,000
$1,500
$2,000
January March May July September November Mo
nth
ly A
vera
ge P
rice
($
/MW
h)
Mo
nth
ly R
eve
nu
e (
$ T
ho
usa
nd
s)
Wintering Hills Battery
Average Hourly Price Base Case Revenue Behind-the-Fence Reveue Merchant Revenue
$-
$50
$100
$150
$200
$-
$500
$1,000
$1,500
$2,000
January March May July September November Mo
nth
ly A
vera
ge P
rice
($
/MW
h)
Mo
nth
ly R
eve
nu
e (
$Th
ou
san
ds)
Castle River Battery
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Results
Energy storage increases the wind facility
revenues in all cases.
On a percentage basis, the more intermittent
wind facility benefits more from energy storage
Seven hours of energy storage capacity is not
optimal.
There are trade-offs associated with participation
in the OR markets; however, there is additional
value.
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Thank you
Questions welcome
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Market Price Adjustment
The market price adjustment
mechanism:
• Adjusted the market price for
the effects of:
o buying grid electricity –
Merchant cases
o selling stored energy –
Merchant and Behind-the-
Fence cases
• Reduced the overall market
revenues by about 13 per cent
• Average adjusted market price
was about $2.00/ MWh lower
than the actual historical
average.
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Comparison: October 22 - 24
-40
-20
0
20
40
60
80
100
$(400)
$(200)
$-
$200
$400
$600
$800
$1,000
8 9 101112131415161718192021222324 1 2 3 4 5 6 7 8 9 101112131415161718192021222324 1 2 3 4 5 6 7
Ele
ctri
city
(M
Wh
)
Ho
url
y P
rice
(4
/MW
h)
-40
-20
0
20
40
60
80
100
$(400)
$(200)
$-
$200
$400
$600
$800
$1,000
8 9 101112131415161718192021222324 1 2 3 4 5 6 7 8 9 101112131415161718192021222324 1 2 3 4 5 6 7
Ele
ctri
city
(M
Wh
)
Ho
url
y P
rice
($
/MW
h)
Hour Ending Delivered to the Grid - BTF Delivered to the Grid - Merchant Hourly Price Wind Output
Wintering Hills
Castle River
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Methodology
Hindcast model incorporated Actual wind facility production data
Actual market prices
Operating parameters and limits for energy storage
technologies
Market clearing prices were adjusted for the
effects of the storage operation
Two dispatch strategies were modelled
Behind-the-Fence
Merchant
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Operating Configuration
Behind the fence storage Merchant operation storage
Energy storage operation is co-located with a wind farm
Energy storage entity that is independent of the wind farm
Buys electricity only from that wind farm
Buys electricity from a wind farm or from the grid
Uses electricity price arbitrage or other market opportunities for storing and selling electricity (or hydrogen)
Uses electricity price arbitrage or other market opportunities for buying, storing and selling electricity (or hydrogen)
Pay only DTS according to existing AESO rules
Pays STS and DTS according to existing AESO rules