Demand response using HAN resources allows end

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National Summit on Integrating Energy Efficiency
& Smart Grid
HEMS and Smart Meter Integration
| March 26, 2013
Demand Response- HAN
Demand response using HAN resources allows end-use customers to reduce
their electricity usage in a given time period, or shift that usage to another
time period, in response to a price signal, a financial incentive, or utility
reliability need.
Robust customer engagement tools and flexibility increases program success
and customer satisfaction.
Utilities leveraging smart grid investments beyond automated meter
readings and outage management to improve operational efficiencies
| Oct 15, 2013
2
Current Approach: Utility Owned Devices
 Demand-Side Management
by providing real time meter
data direct to users and the
cloud
 Use of Programmable
Control Thermostats (PCT)
increasing as consumers
embrace technology.
 Customer portals allowing
for PCT ease of use and tools
to manage energy usage
Traditional utility model that supports DLC or Demand Response
| Oct 15, 2013
3
Future Approach: Customer owned devices
 Use of Programmable
Control Thermostats easily
purchased at local stores
 Distributed intelligence
learns customer behavior
and provides additional
savings
 Technology enables
customer engagement
through ease of use and
convenience.
Mashable Apps allowing utility to leverage community of developers for open source
content
| Oct 15, 2013
4
Customer Engagement:
 Use of Programmable
Control Thermostats easily
purchased at local stores
 Distributed intelligence
learns customer behavior
and provides additional
savings
 Technology enables
customer engagement
through ease of use and
convenience.
advanced data analytics to give customers the robust personalized insights they need to
slash their peak-time usage.
| Oct 15, 2013
5
Analytics Roles
Utility Customer Analytics
Revenue Analytics
•
•
•
•
•
Revenue / Load Forecasting
Revenue Protection
Revenue Reporting
Meter Asset Management
Prepay Tracking
Meter Data
Management
| March 26, 2013
•
•
•
•
Customer Analytics
• Load Research
• Advanced EE/DR
• Monitoring and Evaluation
• Load Disaggregation
• Data overlays for Segmentation
• Customer Behavior
Billing Operations
Integration Hub
Business Process Management
Operational Analytics Extensions
Distribution Grid Analytics
•
•
•
•
Transformer Load Analysis
Distribution Mgmt (DMS)
Predictive Asset Mgmt/Maint
Renewable and MicroGrid
Monitoring
• Load Forecasting
Grid Management
• Distribution System State Estimation,
• Automated Outage Restoration support
• Performance Optimization of the
Distribution Grid.
6
Conclusion
 The traditional utility DLC or Demand Response model is
changing. Utilities need to sell these programs to
maximize potential.
 Customer engagement tools will provide information to
manage energy usage and avoid end of month high bill
surprises.
 Alerts and data-driven analytics will enable utilities to
better manage customer relationship and provide
additional operational benefit for grid hardening and
reliability.
| Oct 15, 2013
7
Thank you
Glenn Purcell
Landis+Gyr
| March 26, 2013
8
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