Wireless Technology and its
Role for Implementing Energy
Efficiency and Demand
Response in Industrial
Electrification Processes
Efficient Enterprises:
Powering American Industry
September 25, 2009
Tom Reddoch
Executive Director for Energy Utilization

Key Points
• Acquiring End Use data is crucial to managing
electrification processes — energy, demand and CO2
• The role of sensors and the wireless transmission of
information is vital achieving economic sound practices
for process management
• The need for load research data including both whole site
and end use information provides the necessary electrical
use patterns to maximize system performance
CWG/9552P
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Purpose of Wireless Communication
Technology in the Electrification of Processes
A non intrusive and low cost method to collect information
from a process and then implement operation strategies
for the purpose of maximizing several metrics such as
reducing energy usage (Conservation), reducing power
demand (Demand Response), and reducing CO2
footprint.
CWG/9552P
© 2009 Electric Power Research Institute, Inc. All rights reserved. 3

Collection of Process Data
Parameter
of Interest Output Signal
Chemical Measurement System Chemical
Electrical Electrical
Mechanical Output Mechanical
Thermal Sensor Modifier Thermal
Radiation Transducer Radiation
Optical Optical
Magnetic Magnetic
Power
Supply
Output Signal Wireless Transmitter Analyzer
CWG/9552P
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Adoption of Industrial Age Technologies
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Adoption of Internet Technologies
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The Key to Process Management is Load
Shape Information
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Load Shape Library to Estimate the Impact
of Promoting New Technologies
• Library of load shapes
– Whole-site and end-use Fast Food Restaurant -- Summer
metered data from Load 12
Misc InLite XLite Refr
Research Studies 10 Cook Water Vent Cool
– Prototypical load shapes 8
Watts/Sq.Ft.
– Engineering estimates 6
4
• Visualization and analysis 2
capabilities
0
– View
11
13
15
17
19
21
23
1
3
5
7
9
– Modify/customize
– Aggregate
– Calibrate/Simulate
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Why do we Need to Revisit Load Research?
• Changing nature of customer load
• Renewed interest in energy
efficiency and demand response
• Even best available load data is stale
• End-use shapes are critical inputs to
model EE impact on marginal CO2
emissions
• Availability of AMI data
• Low cost sub metering and
communication technology
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© 2009 Electric Power Research Institute, Inc. All rights reserved. 9

Re-engaging in Load Research
• Distributed watt-meter measurement
campaign
– Developing measurement
protocols for plug loads
– Extensible to other end-uses
• Sub-metering using AMI
– Interrogate smart meters
– Non-intrusive disambiguation of
consumption
– Identify end-uses by “signature”
current and voltage waveforms
– Test innovative techniques
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© 2009 Electric Power Research Institute, Inc. All rights reserved. 10

Together…Shaping the Future of Electricity
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