Transcript NEET Work Group 6 Update: BPA Demand Response

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NEET Work Group 6 Update:
BPA Demand Response
April 21st
Karen Meadows
Pam Sporborg
Slide 1
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Why is BPA Interested in Demand
Response?
• Continued load growth is leading to a forecasted
capacity shortage in ~2013.
• Wind integration, fish operations, and other
operational constraints are limiting the flexibility
of the hydro system to meet peak demand.
• Demand Response is a proven, low-cost
resource that can help BPA meet projected
Capacity Constraints.
Slide 2
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Capacity Constraint Scenarios
Season
Continuous event days
Timing
Scenario 1:
Summer Heat Wave
Scenario 2:
Winter Cold Spell
Scenario 3:
Increased Reliance on
Wind Generation
Scenario 4:
Large Unit Outage
Scenario 5:
Difficulty Managing
System
Summer
Winter
Any
Any
Shoulder
Three days
Three days
Year-round
Two days
One day
Afternoon
(2 pm - 9 pm)
Morning (6 am - 9 am),
Evening (5 pm - 9 pm)
Intermittent
All day
All day
Constant throughout
day
Constant throughout
day
Frequency
Once per day,
3 events per summer
Foresight
2 to 5 days
1 to 2 days
Less than 1 hour
Less than 1 hour
1 day
Reliability/Price
Reliability/Price
Reliability
Reliability/Price
Reliability/Price
Pacific Northwest
Pacific Northwest
Pacific Northwest
BPA control area
BPA control area
1,000 to 2,000 MW
1,000 to 2,000 MW
1,000 to 4,000 MW
1,100 MW
1,000 MW
Trigger
Relevant region
Size
of 3peak impact
Slide
Twice per day,
Many deviations from
0 or 1 events per winter expected output per day
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BPA Demand Response Guiding
Principles
•
•
•
•
•
Slide 4
Collaboration & Partnership: BPA will work collaboratively with our Public
Utility Customers to develop and implement Demand Response pilots and
programs
Balance Cost and Risk: BPA will work to implement cost-effective, leastrisk DR solutions. However, BPA recognizes that this may frequently
require trade-offs between these two goals.
Regional Leadership Role: BPA will lead by example in the region, though
information sharing, collaborative research efforts, and demonstrating state
of the art technology. This includes integrating Demand Response into the
Smart Grid.
Reliability & Flexibility: BPA’s Demand Response resource will primarily
aim to improve system reliability and enhance flexibility.
Environmental Stewardship: BPA will consider the environmental impacts
of each DR Option.
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BPA Activities in Demand
Response
• Past Pilot Projects include:
–
–
–
–
Non-Wires Solutions Pilot (direct load control, back up generation)
Irrigation Pilot
Ashland Pilot (Direct Load Control)
Demand Exchange (Wholesale)
• Demand Response Potential Assessment
– Developed DR Supply Curves that will be inputs into the Resource
Program
• Planned DR Activities
– Research Action Plan developed
– Pilot programs to test impacts and costs of various DR strategies to
meet Capacity Constraint Scenarios
– Pilot programs to build regional capability
Slide 5
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Planned Pilots
•
•
•
•
•
Slide 6
2009 Residential Direct Load Control
2009 Open ADR for large commercial
2010: Dynamic Pricing Pilot
2010: Industrial Pilot
Considering Irrigation and Wind
Integration Pilots
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Open-Auto Demand Response
Technology Demonstration
• Partnership with Lawrence Berkley National Labs and
Seattle City Light
• First test of Open-ADR for winter peaks
• Open-ADR technology interfaces with the building’s
Energy Management System to enter a custom, preprogrammed shed when notified
• Tested five commercial sites with four events per site,
including one Day-Of event
• Buildings shed 8-19% of total load for morning 7-10am
peak, with little to no rebound
Slide 7
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Open ADR Example Event:
Seattle Municipal Tower
SMT Test_1, 3/3/2009 (Min OAT: 43 °F)
Moderate
Price
6000
High Price
Whole Building Power [kW]
5000
4000
3000
2000
1000
Actual
Baseline (OAT Regression)
3/10 Baseline
23:00
22:00
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20:00
19:00
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10:00
Slide 8
7:00
6:00
5:00
4:00
3:00
2:00
1:00
0:00
0
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Open-ADR Building Performance
Average, Minimum and Maximum Sheds as a Percentage of
Whole Building Power
Average, Minimum and Maximum Sheds in kW
800
25%
600
Demand Shed (%)
Demand Shed (kW)
700
500
400
300
200
20%
15%
10%
5%
100
0%
0
McKinstry
Target - T1284*
Target - T0637* Seattle Municipal Seattle University
Tower
Sites
McKinstry
Target - T1284*
Target - T0637* Seattle Municipal Seattle University
Tower
Sites
*Note: Target T0637 data not downloaded from meter in time for presentation.
Slide 9
Results expected to be similar to Target T1264.
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Residential DLC Pilot
• Project Overview:
•Work with 3-4 Utilities
•Leverage investments in Automated Meter Reading (AMI) systems
•Control both hot water heaters and thermostats.
•Address both summer and winter peaks
•Utilize temperature setback instead of duty cycling
•100-300 homes in first year; 700-2,500 homes in second year
•Project Goals:
• Develop strategies for BPA and utilities to work collaboratively to
achieve demand response in the Northwest.
• Test integrating demand response technologies with AMI systems in
the residential sector through a DLC program.
• Test recruitment strategy, customer education, and persistence
Slide 10
• Test costs and impacts (kW) for each capacity constraint
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Next Steps
• Expand Residential DLC Pilot
• Continue testing Open-ADR technology
• 2010: Plan & launch Dynamic Pricing
Pilot
• 2010: Plan & launch Large Commercial
& Industrial Pilot
Slide 11
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Where are opportunities for
Regional Collaboration?
• Value in sharing ideas and results
across regional utilities
• Leverage investments in research and
pilots
• Share results, lessons learned
• Forum to bring in experts from other
regions
Slide 12
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