behind-the-fence energy storage systems to … · estimated annual average revenue from 2012 to...
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BEHIND-THE-FENCE ENERGY STORAGE SYSTEMS TO FACILITATE THE PARTICIPATION OF EXISTING WIND FARMS IN ANCILLARY SERVICESCANWEA O&M SUMMIT, JANUARY 29-30, 2019, TORONTO
Presented by Martin RheaultAuthors: Payam Zamani, Shila Karimi and Martin Rheault
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Copyright Statement 2
BBA AT A GLANCE
▪ Private consulting engineering firm established in 1979 ▪ Over 800 employees
- Locations across Canada | Vancouver, Calgary, Timmins, Sudbury, Toronto, Abitibi, Montréal, Boucherville, Mont-St-Hilaire, Labelle, Québec City, Labrador City
▪ Practice-Centered Engineering Firm▪ Leading expertise in the following sectors:
- Power
- Mining
- Environmental Services
- Biofuels, Oil & Gas
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Copyright Statement 3
THE CONTEXT
▪ LCOE of Wind is now the lowest*▪ Change of policy and electricity market
design▪ Shorter electricity contract terms in
the future▪ Transition from subsidized to
unsubsidized▪ IPPs have to bear more risks
*REF.: LAZARD’S LEVELIZED COST OF ENERGY ANALYSIS—VERSION 12.0, 2018
LOWEST LCOE
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Copyright Statement 4
WHAT IF…
What if all the wind capacity would have participated in Ontario spot market in 2018?
0%
5%
10%
15%
20%
25%
30%
$0
$5
$10
$15
$20
$25
$30
$35
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Energy Price IESO
Average Price Received by Wind
Discount
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Copyright Statement 5
WHAT IF…
What if all the wind capacity would have participated in Alberta spot market in 2018?
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
$-
$10
$20
$30
$40
$50
$60
$70
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Energy Price AESO
Average Price Received by Wind
Discount
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Copyright Statement 6
WHAT IF… WE HAD STORAGE
What if all the wind capacity would have participated in Ontario spot market in 2018 and had a 2-hourstorage, 10% of wind capacity? ~$1.3/MWh increase, 6% reduction of discount
-5%
0%
5%
10%
15%
20%
25%
30%
$-
$5
$10
$15
$20
$25
$30
$35
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Energy Price IESO
Average Price Received by Wind without ESS
Average Price Received by Wind with ESS
Discount
Discount with ESS
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Copyright Statement 7
WHAT IF… WE HAD STORAGE
What if all the wind capacity would have participated in Alberta spot market in 2018 and had a 2-hourstorage, 10% of wind capacity? ~$1.9/MWh increase, 3% reduction of discount
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
$-
$10
$20
$30
$40
$50
$60
$70
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Energy Price AESO
Average Price Received by Wind without ESS
Average Price Received by Wind with ESS
Discount
Discount with ESS
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Copyright Statement 8
WHAT ABOUT OTHER REVENUE STREAMS
Energy arbitrage improves revenues, but it’s not enough. Let’s take advantage of ancillary services.
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Copyright Statement 9
COMPETITIVE ELECTRICITY MARKETEnergy Market
(Arbitrage)Ancillary Services
Operating Reserve
Contingency Reserve
Spinning Reserve
Active
Standby
Non-Spinning (Supplemental)
Reserve
Active
Standby
Regulating Reserve
Active
Standby
Demand Response Load-Shed Service Black Start Service
▪ Ancillary Services is a closed market, so early adopters will win
- AESO procures:- ~240MW in Regulating Reserve (Act and Stby)
- ~330MW in Spinning Reserve (Act and Stby)
- ~255MW in non-Spinning Reserve (Act and Stby)
- AS needs will increase with renewable growth
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Copyright Statement 10
FINANCIAL MODELING OF THE ESS
ElectricityMarket
EnergyStorage System
ESS Revenue
OptimizerRound-Trip Efficiency
Life Cycle
Nominal Energy &
Power
Opex & Capex
Capacity Maintenance Agreement
Basic Parameters of ESS
Perfect Knowledge
Market Forecast
Probability of Dispatch
Market Parameters
Output
Day-Ahead Bid Schedule
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Copyright Statement 11
ARBITRAGE OPERATION – TYPICAL DAY #1
Revenue: $464.90
$0
$5
$10
$15
$20
$25
$30
$35
$40
$45
$50
-15
-10
-5
0
5
10
15
20
25
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
MWh
Charge
Energy
SOC
Price
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Copyright Statement 12
REVENUE STREAM OPTIMIZER – TYPICAL DAY #1
Revenue: $3,267.69
*hourly offering enabled
-10
-5
0
5
10
15
20
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
MWh
Charge Energy Act Reg Act Spin Act Sup
Stb Reg Stb Spin Stb Sup SOC
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Copyright Statement 13
ARBITRAGE OPERATION – TYPICAL DAY #2
Revenue: $8,321.49
$0
$100
$200
$300
$400
$500
$600
-10
-5
0
5
10
15
20
25
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
MWh
Charge
Energy
SOC
Price
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Copyright Statement 14
REVENUE STREAM OPTIMIZER – TYPICAL DAY #2
Revenue: $28,873.74
*block offering enabled
-5
0
5
10
15
20
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
MWh
Charge Energy Act Reg Act Spin Act Sup
Stb Reg Stb Spin Stb Sup SOC
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Copyright Statement 15
ANNUAL AVERAGE PRICES FOR ANCILLARY SERVICES
AESO’s Annual Average Prices for Energy & Active Reserves from 2012 to 2018
$-
$10
$20
$30
$40
$50
$60
$70
$80
$90
2012 2013 2014 2015 2016 2017 2018
Pool Price Regulation Reserve Price
Spinning Reserve Price Supplemental Reserve Price
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Copyright Statement 16
ESTIMATED ANNUAL REVENUES
Estimated annual revenue from 2012 to 2018 for a typical 10MW / 20MWh ESS operating in Alberta
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
$4,500,000
$5,000,000
2012 2013 2014 2015 2016 2017 2018
Perfect Knowledge Market Forecast
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Copyright Statement 17
ESS REVENUE OPTIMIZER VS ARBITRAGE
Estimated annual average revenue from 2012 to 2018 for a typical 10MW / 20MWh ESS operating in Alberta
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
Arbitrage ESS Revenue Optimizer
Perfect Knowledge Market Forecast
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Copyright Statement 18
BENEFITS OF BEHIND-THE-FENCE PROJECTS
▪ Lower capital cost▪ Minimal impact on existing supply/demand contracts▪ Avoid ever-increasing demand tariffs▪ Simpler Behind-the-fence interconnection with utilities▪ Easier permitting and social licensing▪ Cost effective integration to central control system
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Copyright Statement 19
TECHNO-FUTURE KEY TAKEAWAYS
▪ Storage is an effective technological solution to generate more revenues▪ Simple arbitrage strategies will not succeed ▪ Deep market knowledge will be an asset▪ Advanced data analytics knowledge will be required (Development & Operation)▪ Procurement of highly flexible technology and control system is a must▪ Artificial intelligence functions (neural networks) will unlock further profitability
- Improved forecasting accuracy
- Enhanced decision making (adaptive bidding strategy)
- Possibility to out-bid competitors
- …