UCGEC Smart Grid Seminar Ii

The Power of Information
Google’s PowerMeter Project

Edward Tsang Lu
Google.org

Google Confidential and Proprietary 1

Google Confidential and Proprietary

The Opportunity and Problem


How do YOU think about buying electricity?

• How many people know the MPG of their vehicle?

• How many people know the kWh per day of their home?

• Has anyone tried to make efficiency improvements to your home?
• Does anyone drive a Prius or have an in-home device to monitor
electricity?

• What is your experience with buying electricity?


“If you can’t measure it, you can’t improve it”

13% 12%
10% 15%
18%

10-15%

• On average, people reduce their energy by 5-15% just by having real time
feedback on their energy consumption
• If just half the U.S. households cut their demand by 10%, the electricity
savings would be greater than today's total U.S. wind and solar power
output. The CO2 emission avoided would be equal to taking approx. 8 million
cars off the road.

A contrasting example


Our Mission

To organize the world’s information and
make it universally accessible and useful.

Online Content Offline Content
Billions of web pages Billions of items
becoming indexed


Add Google PowerMeter to your personalized homepage


A closer look….


Goals for Google PowerMeter

Help customers reduce waste / inefficiency
 Detailed access to energy usage and cost information
 Ability to compare energy use with friends and community
 Ability to measure home energy efficiency improvements
 Save customers energy and money

Help utilities help their customers
 Allow utilities to more effectively engage with consumers (e.g. broadcast
announcements, branding opportunities, etc.)
 Enable utility company programs to shave peak electricity use and improve
efficiency
 Leverage Google’s expertise in organizing information for energy

Help the world
 Change the way people think about and use energy
 Measurable CO2 reductions


How Google PowerMeter works

Data flow: Smart Meter -> utility -> Google -> customer

Q&A


Distributed Intelligence and the
Intel Open Energy Initiative

John Skinner
Eco-Technology Director of Marketing
Intel Corporation

Alternate Board Member and Marketing Co-Chair
Climate Savers Computing Initiative

Summary

 Intelligence is rapidly being embedded in the grid, end-to-
end
 Moore’s Law  “Distributed Intelligence” everywhere

 Our ability to fully harness this Distributed Intelligence
relies on our ability to interconnect it.
 Open Standards are key to creating “Connected Intelligence”

 We must “Empower” Energy Users with Information, Tools,
and Communities
 Harness the “Collective Intelligence” of Energy Users

Distributed, Connected, Collective Intelligence

Intel’s efforts in Renewable Energy

Intel receives Green Power Leadership Award from US. EPA:
 Intel is the largest corporate purchaser of renewable energy in
the U.S. and holds the #1 spot on their Green Power Partner
list
 About 47% of Intel’s purchased electricity usage will come
Intel’
from renewable sources such as wind and solar

Intel site solar installations begin and expand quickly:
 Bangalore, India - solar water heaters now saving 70,000
kilowatts per year (2% of the site's electricity).
 Oregon, USA - a 100Kw electric PV system on the roof of
Jones Farm campus will be operational later this year.
 New Mexico, USA - a solar demonstration project highlighting
PV uses and benefits in data centers with be completed later
this year

* Other names and brands may be claimed as the property of others.

Intel Capital Investments in Renewable Energy
& Smart Grid Technology
Solar Energy Technology
 SpectraWatt: Photovoltaic Cells for Solar Panels
 Sulfurcell: Thin Film Solar Power Modules
 Voltaix: Materials for Solar Cell Manufacturing
 Trony Solar: Thin Film Solar Power Modules

Smart Electricity Grid
 Grid Net: WiMAX-based Smart Meter Infrastructure
WiMAX-

Advanced Energy Storage
 Net Power Holdings: Flow Batteries for Commercial Buildings

Smart Home Automation
 Arch Rock: Ultra-low-power IP based sensor technology
Ultra-low-
 Gainspan: Ultra-low-power WiFi sensor network technology
Ultra-low-

*Other brands may be claimed as the property of others.

Smart Grid = More than just Smart Meters

Grid Data Explosion  Compute Capacity
Gap


Intelligence being distributed into 3 major domains:

Smart Buildings Grid Infrastructure Utility IT & Cloud
1) PC, Internet-TV
Internet- 4) Substation Controllers 7) Efficient Servers
2) In-Home Displays (IHD)
In- 5) Data Concentrators (consolidation, virtualization,
3) Energy Gateways/Meters 6) Renewables Integration manageability, HPC)
8) PC’s and Workstations
PC’
(manageability, mobility)
9) Meter Data Processing, Grid
Modeling/Simulation, Data
warehousing, Analytics,
forecasting/ modeling, energy
trading, etc.

Distributed Intelligence Example:
Renewable Energy Sources

There are I0-20 Microprocessors in a modern Wind Turbine:

Localized intelligence, in the form of embedded wind turbine controllers
based on rugged embedded Intel® architecture platforms, can control turbine
vane pitch, rotation, and other variables in response to real-time information
including changing wind conditions and electrical load requirements, without
human intervention.
In addition, network sensors mounted on the turbine communicate data to the
embedded computer to monitor operating parameters


As Intelligence gets distributed throughout the Grid, Energy
+ IT Industry Collaboration is required
R-I

PDU
R-I PDU
RTU
RTU
Distribution-Connected, Campus-Level
Distribution- Campus-
Smart
Smart Renewables
Transmission-Connected,
Transmission- Substations
Utility-Scale Smart Renewables
Utility-

R-I
Transmission My Utility Smart
Ops Centers Distribution Feeders
Network Ops DCU
DCU
Smart Metering
IED
R-I

Renewables & Smart Energy
Smart Demand Service
Smart Building/Homes with EV,
Ops Center Providers DCUDCU = data concentrator unit
R-I R-I = Renewables Integration control devices Residential Renewables
PDU PDU = Phasor Data Unit (key part of an advance IT system on the TX grid)
RTU RTU = a lower-tech but ubiquitous device called a Remote Terminal
IED Unit
IED = Intelligent Electronic Device – a common and generic name

Example of Energy + IT Industry
Collaboration: Intel + SGCC
 State Grid Corp of China: 3 year build-out of "Smart Grid”

 Cover 80% of China’s mainland and 1 billion people

 Collaboration via joint Intel + SGCC Lab to develop &
optimize:
– Grid Modeling and Simulation Software
– Network Isolation and Power Station Automation
– Applications of Embedded Technologies

Other brands and names are the property of their respective owners.
owners.

Enabling Distributed Intelligence
“A System of Open Systems” Approach

Grid Operators, Utilities, Building Owners, and Vendors should take end-
to-end view - and have eye on the future - as they design and specify
their particular sub-systems

SPECIFIC RECOMMENDATIONS:
– Exploit Moore’s Law – put network-ready Intelligence everywhere –
“glue” to manage inter-system connections
– Subsystems should be both “Connection-ready” and “Future-ready”
– Exploit existing technologies for Remote Management

24
Distributed Intelligence in Buildings
Buildings are key to electricity usage and CO2 impact
–76% of US electricity is used by buildings1
–43% of CO2 is generated by buildings2
–Data centers are critical extreme case
Industry Challenge
–Make grid smarter, make buildings smarter, make them communicate
–Today most residential and light commercial buildings are “dumb”

(1) Energy Information Association; (2) Pew Center for Global Climate Change

Home Energy Management Systems (HEMS)
Distributed Intelligence = Consumer Empowerment

Intel HEMS Research circa 2005
 Intel worked with local utility + meter
vendor, to create a PC-based Home
Energy Management System (HEMS),
using Home Automation components

 Three areas of focus:
– Usage Awareness via TV User Interface
(Windows Media Center)
– Demand-Shifting, via Pre-cooling and
Off-peak overcooling
– Demand-Response load reduction
(System watched utilities website)

 Results published via IEEE paper in
2006

27
Can Info + User Control Make a Difference?
Consumer Empowerment
Based on $20 M pilot by California utilities, that involved 2,500 customers,
over a three year period, gateway systems reduced loads far in excess of
dynamic pricing and smart thermostats alone.

Technology Peak Demand
Reduction*
Time of use Pricing Information 8%

Dynamic Pricing Signals 13%

Smart Thermostat 27%
HEMS like device 43%

* The Brattle Group “The Power of 5 Percent”, The Electricity Journal, October, 2007

Coming Soon:
Home Energy Management System
Running on Your Internet TV

HEMS Technology using Widget Channel + Intel-based CE Device

Some Implications, Conclusions
 Awareness PLUS Load Control can save energy and flatten demand
profiles. Consumers want this on any/all screens:
– PC, TV, Handset, Dedicated In-Home Display
– Utility Smart Grid/Home pilots will evaluate all of these
technologies

 While Monitoring + Control is technically feasible today - it isn’t easy

 Standard are required to enable scalability, reduce costs, and ensure
interoperability
– Standards for energy data from meters
– Standards for interfacing with the home control system
– Standards for interfacing with the wider public grid

Enabling Connected Intelligence

 Interoperability is a big focus for the Smart Energy
industry
 Open interfaces, network-readiness, inter-system
standards

 SPECIFIC RECOMMENDATIONS:
– Specify open, secure networks that can be flexibly connected to others
– Utilize IP (including IPSO) where possible
– STANDARDS: Get involved - in the efforts of NIST, IEEE P2030, etc..

Example: Smart Grid Standards Efforts
IEEE P2030 MEETING: HELP SHAPE THE
SMART GRID GUIDE

• The IEEE Standards Association (IEEE-SA) launched a
groundbreaking smart grid initiative hosted by Intel in Santa Clara,
CA, June 2009.

• The goal of the initiative is to create:
• The IEEE Standard 2030 Guide for Smart Grid Interoperability of Energy
Technology and Information Technology Operation with the Electric Power System
(EPS) and End-Use Applications and Loads.

 IEEE-SA P2030 will help guide the integration of energy technology
and information and communications technologies to enable the
smart grid.


Intel Open Energy Initiative
Intel Actions Include:
 Leadership in smart grid standards bodies
 Research & Development of “Smart Energy” technologies
Energy”
 Partnerships with Utilities on Smart Grid pilots and deployment
 Strategic venture investment via Intel Capital
 Smart Energy Policy Influence

Intel’s Objective:
Drive deployment of open standards which
accelerate the integration of, and synergy between:
 Intelligent Renewable Energy Sources
 Smart Grids
 Smart Buildings
 Empowered Energy Consumers


The Power of Collective Intelligence
Networks of Empowered Energy Users
The rise of the “Personal Smart Grid”
- Personal Network of Energy Assets:
- HEMS, Appliances, Rooftop Solar, PHEV, Storage, PV/EV-to-
Grid,…
– Monitored and Controlled from any screen - TV, PC, IHD,
Handheld,..
– Opportunity for learning and behavior changes on a personal level

Harnessing Social Computing Networks
– Share Best Practices, Collaborate/Compete on Carbon-reduction
– Behavior Change on Massive Scale
– Driven by real-time, actionable information and control
– Empowered with intuitive tools, convenient interfaces, and best practices
– Reinforced with a community-based approach ala CarbonRally.com

Summary

 Intelligence is rapidly becoming embedded, end-to-end
 Moore’s Law  “Distributed Intelligence” everywhere

 Our ability to fully harness this Distributed Intelligence
relies on our ability to interconnect it.
 Open Standards are key to creating “Connected Intelligence”

 We must “Empower” Energy Users with Information,
Tools, and Communities
 Harness the “Collective Intelligence” of Energy Users

Distributed, Connected, Collective Intelligence

Securing Smart Grid
Leveraging intelligent communications
to transform the power infrastructure

July 9th, 2009

Saadat Malik
Senior Manager, Software Development
smalik@cisco.com

SmartGrid Team #1 © 2008 Cisco Systems, Inc. All rights reserved. Cisco Confidential 36

Power Management
Today’s Electrical System Energy Information

Distributed Generation Sources

Industrial Customer

Power Generation

Commercial Customer

Transmission
(Utility)
Distribution
(Local Utility )
Network Network
Control Control
Center Center Residential Customer


Power Management
Smart Grid Energy Information

Distributed Generation Sources

Industrial Customer

Power Generation

Federated
Data Centers
Commercial Customer

Transmission
(Utility)
Distribution
(Local Utility)
Network
Network
Control
Control Residential Customer
Center
Center

Cisco Smart Grid Strategy
End-to-End Communications Fabric

Provide end-to-end, secure
communications fabric to help utility
companies optimize power supply
and demand
 Design and architect end-to-end,
network from generation to home
 Standards-based and interoperable
 Reliable, resilient, and secure
 Seamless integration with grid,
commercial, industrial and residential
control systems
 Trusted and committed partner,
delivering an integrated solution with
world class products and services

Smart Grid Team #1 © 2008 Cisco Systems, Inc. All rights reserved. 39

Smart Grid Security: A Framework

Requirements

  Physical network devices
Hardened security
and systems
 Identity and access control
policies
 Identity and access control
policies
 Hardened network devices
Critical and systems
 Data protection for
Situa ness

Infrastructure transmission and storage
Awar

 Threat defense
tiona
e

 Integrated physical security
 Protection for data
l

transmission and storage
 Comprehensive management
and reporting
 Real-time monitoring,
management, and correlation


Securing the Grid 2.0
Security for a converged demand and supply environment

Next Gen Grid
Renewables Integration Consumers
Management Systems

From centralized to distributed From static to mobile and variable From a few interfaces to many

Build security into the very fabric of the next gen electricity grid

Delivering Security
From business use cases to security solutions


US-China Green Energy Council
(UCGEC)
Smart Grid Seminar No. 2
How IT will Enable the Smart Grid

Comments on Panel Presentations

Stephen Lee
Senior Technical Executive
Power Delivery & Utilization
July 9, 2009

Key Points from the Power Grid Perspective

• End-to-End Power Delivery Value Chain
– Must work Seamlessly As a Whole
– Consider All parts together (Holistic approach)
• Standards and Inter-Operability
– Key for Seamless Integration
• Innovation from IT Industry to Strengthen the Foundations
of the Power Grid
– Data into Information
– Intelligent and Smart Solutions

45

End-to-End Power Delivery Value Chain
Operation & Planning
Power Plants
Transmission System
Distribution System
Fuel Supply System

Renewable Plants

Fuel Source/Storage

Energy Storage
End-uses & DR

Controllers
Sensors

Data Communication
Data Communication
M

ZIP
Wide Area Control
Wide Area Control
Dynamic Power Plant Models Dynamic Load Models

Monitoring, Modeling, Analysis, Coordination & Control
Monitoring, Modeling, Analysis, Coordination & Control

46

North America Electricity Interconnections

47

North America Electricity Balancing
Authorities

48

Smart Grid Seminar Discussion:
Seminar #2: Google, Intel, Cisco
49
US-CHINA GREEN ENERGY COUNCIL (UCGEC)
SMART GRID SEMINAR
PALO ALTO, CALIFORNIA
JULY 9, 2009

EDWARD G. CAZALET, PHD
THE CAZALET GROUP
AND
MEGAWATT STORAGE FARMS, INC.

WWW.CAZALET.COM
WWW.MEGAWATTSF.COM
ED@CAZALET.COM
© 2009 Edward G. Cazalet

UCGEC Smart Grid Seminar Ii

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