1. 1
Data Enabled Energy Efficiency
and Demand Response
Boaz Ur – Energy Entrepreneur
May 22, 2013
Data’s Impact on Demand Side
Management
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Boaz Ur
Agenda
• What is Demand Side Management?
• Smart Meter and Green Button
• Data’s Impact on Energy Efficiency
• Residential Example - Air Conditioning Loads
• Data’s Impact on Demand Response
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Boaz Ur
Demand Side Management
• Energy Efficiency
Permanent reduction of energy usage while maintaining the
same comfort levels
• Demand Response
Manage customer consumption of electricity in response to
supply conditions. Electricity customers reduce their
consumption at critical times or in response to market prices
Demand Side Management (DSM) - modification of
consumer demand for energy (load shapes and
usage)
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Boaz Ur
Smart Meters Open Up New Frontiers
• US – 2012 – 36M installed; 65M by 2015
• Useful usage information for consumers
• Improved outage detection and response
• Right sizing of the grid
• Time based pricing
• Energy Efficiency
• Demand Response
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Boaz Ur
Green Button
• 2011 - Call to action by Obama administration
• 35 Utilities; 36 Million homes.
• Green Button Download My Data
• Green Button Connect My Data
• Web and smartphone apps enabled
Electricity customers can download their own detailed
household or building electricity usage information, in a
common consumer- and computer-friendly format.
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Boaz Ur
Data’s Impact on Energy Efficiency
• Discrete improvements -> Constant, Dynamic
• Energy Audits -> Virtual Energy Audits
• Experts only -> Mass engagement
• Isolated hardware -> Connected Hardware + Cloud Analytics
• Invest and pray -> Performance verification
• Separate EE and DR -> Integrated Demand Side Managment
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Boaz Ur
Smart Thermostat Examples
Direct to consumer + Utilities
Learning your habits
Sensing if you are home
Remote connection
Energy Efficiency
Utility play:
DR -> “Rush Hour Rewards”
Utility programs
Traditional thermostat + wifi + app
Compare to your neighbors
Tips and Coaching
Direct Load Control
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Boaz Ur
Additional Data Enabled Capabilities
How can a thermostat enable Permanent Load Shifting?
• Some thermostats can learn:
– Thermal properties of the house (i.e. how long it holds a temp)
– A/C under sized / over sized (i.e. how long it takes to cool a
room)
• With this knowledge a thermostat could provide PLS (Pre-
cooling) when it is a good fit for the building shell
How can a phone become a thermostat sensor?
• The phone’s app use the GPS to determine that the
person has left the house
• A geo-fence indicates that the owner is on their way home
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Boaz Ur
Data’s Impact on Demand Response
• Direct install by utilities -> Market based
• Limited integration with EE -> Integrated programs
• One Way Communication -> Auto Demand Response
• Assessing success a month later -> Giving the customer
feedback during the event
• Peak Shaving, Emergencies -> Ancillary services, and faster
responding services
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Boaz Ur
Direct Load Control programs can Change
US - ~5.6 M customers participate in Direct Load Control
Before the Data revolution:
• One way paging technology
• No way to measure success – Done statistically
• Only peak shaving
After the Data revolution:
• Every house can be measured
• Virtual site visits
• Advanced DR: Location based; Fast response
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Boaz Ur
Summary - DSM a Major Part of Smart Grid
• Grid balancing can be done on the utility side or the customer side
• Reducing peak load
• Enhancing System Reliability and Stability
• Saving $, KWH and GHG
• Renewable integration
• Enabling smart investments in infrastructure
• Enabling customers to make smart choices