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| March 26, 2013 National Summit on Integrating Energy Efficiency & Smart Grid HEMS and Smart Meter Integration.

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Presentation on theme: "| March 26, 2013 National Summit on Integrating Energy Efficiency & Smart Grid HEMS and Smart Meter Integration."— Presentation transcript:

1 | March 26, 2013 National Summit on Integrating Energy Efficiency & Smart Grid HEMS and Smart Meter Integration

2 | Oct 15, 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 2

3 | Oct 15, 2013  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 Current Approach: Utility Owned Devices 3 Traditional utility model that supports DLC or Demand Response

4 | Oct 15, 2013 Future Approach: Customer owned devices 4  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

5 | Oct 15, 2013 Customer Engagement: 5  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.

6 | March 26, 2013 Analytics Roles 6 Billing Operations Integration Hub Business Process Management Operational Analytics Extensions Meter Data Management Revenue / Load Forecasting Revenue Protection Revenue Reporting Meter Asset Management Prepay Tracking Utility Customer Analytics Load Research Advanced EE/DR Monitoring and Evaluation Load Disaggregation Data overlays for Segmentation Customer Behavior Customer AnalyticsRevenue Analytics Distribution System State Estimation, Automated Outage Restoration support Performance Optimization of the Distribution Grid. Grid Management Distribution Grid Analytics Transformer Load Analysis Distribution Mgmt (DMS) Predictive Asset Mgmt/Maint Renewable and MicroGrid Monitoring Load Forecasting

7 | Oct 15, 2013 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. 7

8 | March 26, Thank you Glenn Purcell Landis+Gyr


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