Energy Efficiency… Lessons Learned From EPRI Energy Efficiency...
Transcript of Energy Efficiency… Lessons Learned From EPRI Energy Efficiency...
Hank CourtrightSenior Vice President,Member and External RelationsElectric Power Research Institute
2011 Summer SeminarAugust 1, 2011
Energy Efficiency… Lessons Learned From EPRI Energy Efficiency Demonstrations
2© 2011 Electric Power Research Institute, Inc. All rights reserved.
End-Use Technology Pipeline
Technology
Scouting
Assessment
and Lab
Testing
R&D Field
Tests/Demos
10s to 100s
of Units
Coordinated
Early
Deployments
100s – 1000s
of Units
Full
Program
Rollout
Accelerating Readiness of Emerging Efficient Technologies
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Variable-Refrigerant-FlowAir Conditioning
LED Street and Area Lighting
Efficient Data-Centers
“Hyper-Efficient” Technologies
Accelerate emerging technologies through real-life performance data
Heat-Pump Water HeatersDuctless, Residential Heat-Pumps and Air-Conditioners
Hyper-EfficientResidential Appliances
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EE Demo Deployment
TechnologyNew UnitsInstalled
ControlUnits
Ductless Heat Pump 23 9
Heat Pump Water Heater 151 30
Hyper-Efficient Appliances 69 63
Variable Refrigerant Flow AC 5 1
LED Street and Area Lighting 239 Existing units
Energy Efficient Data Centers 50 Existing units
TOTAL 537 103
Re
sid
en
tia
lC
om
me
rcia
l
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Residential Ductless Heat Pump
• Preliminary analysis of energy savings shows 15-20% reductions
• All sites successfully heated homes through the 2010-2011 winter withoutneed for backup heat (heat pump only)
• Retrofit applications or for homes without air conditioning
BPAFirstEnergy
TVA
Southern Co.
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Heat Pump Water Heater
Efficiency
• COPs as predicted between 1.0 and 2.5
• Some models more efficient than others
Performance
• All models performed well
Customer Satisfaction
• Generally positive
15 gal/day
78 gal/day
218 gal/day
0.0
1.0
2.0
3.0
4.0
5.0
40.0 45.0 50.0 55.0 60.0 65.0 70.0 75.0 80.0
Monthly Average of the Temperature Measured Near the HPWH (°F)
Mo
nth
ly C
OP
Model AModel BModel C
Each Bubble Represents a Unique Site
Bubble Size Approximates the Average Amount of Water Use per Day
High Average Daily Water Draw Labeled in Red, Medium in Blue, Low in Green
Preliminary Results
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High Efficiency Appliances
Washer/Dryer
• Average energy savings of 20% per washer-dryer load
• Average hot water savings (gallons) of 42% per load
Refrigerator
• Average energy savings of 49%
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Commercial Variable Refrigerant Flow
• Monthly energy savings range of 25 – 47%
• 24 Ton VRF system installed on a set of 8 classrooms
• Side-by-side comparison between VRF and similar set of 8 classrooms conditioned with baseline air-source split system
Faith Academy, Mobile, AL
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Data Center Efficiency
• DC Power – 15% reduction
• Power Supply Retrofits – 20% reduction
• Airflow management – 77% reduction (fan load)
CRAC/CRAH –
Computer room
air conditioner/air
handler
10© 2011 Electric Power Research Institute, Inc. All rights reserved.
Before – 310 watts each
LED Street and Area Lighting
•Test sites had greater than 25% energy savings
•Equivalent or better light quality
After – 94 watts each
Knoxville, TN
Colors are
approximate
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Innovation at Work
Brillion, WI
Intrepid EPRI Technician
“SCOTTY”the Mobile
Photometric Data
Acquisition System
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End-Use Technology Pipeline
The
Next
Step
Technology
Scouting
Assessment
and Lab
Testing
R&D Field
Tests/Demos
10s to 100s
of Units
Coordinated
Early
Deployments
100s – 1000s
of Units
Full
Program
Rollout
Accelerating Readiness of Emerging Efficient Technologies
“Hyper-
EE Demo
2”
13© 2011 Electric Power Research Institute, Inc. All rights reserved.
Riding the Efficiency Pipeline!
14© 2011 Electric Power Research Institute, Inc. All rights reserved.
Panelists
Arshad Mansoor
Senior Vice President, Research and
Development, Electric Power Research Institute
Susan Story
President and Chief Executive Officer,
Southern Company Services
Terry Boston
President and Chief Executive Officer, PJM
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Our Question
What are the key factors
(Technology, Codes and Standards,
Markets, and Consumer Behavior)
that will impact energy efficiency
adoption in the future?
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Audience Response Question
Rank the key factors that will
impact energy efficiency adoption
in the future.