energy intelligence Rise of the Data Layer - SEEA Conference · Apr Jul Oct Jan Apr Jul Oct Jan Apr...
Transcript of energy intelligence Rise of the Data Layer - SEEA Conference · Apr Jul Oct Jan Apr Jul Oct Jan Apr...
energy intelligence
Peter Evans, PhDVice PresidentCenter for Global Enterprise
Photo by Maria Carrasco Rodriguez
Rise of the Data Layer
2015 SEEA & AESP Southeast ConferenceAtlanta, GAOctober 28-30th, 2015
What do these items have in common?
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> 8,500 apps
How about these items?
>11,000 developers have accessed Nest’s APIs
> Billions of calls
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Nokia Here digital mapping
Deal worth $3.1 billion
Joint German car maker acquisition August 2015
From Necessary but Mundane Strategic
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Plath to the Internet of Things (IoT)
MainframePC
Web
Connected Client/ APIs
Standard narrative of evolutionary change
Complex forces of change
Age of
Platforms
New business models that achieve that leverage
networks and intelligence
Age of
Networks
Mesh networks linking physical, digital and social
Digital Age
Surge in information about energy for
insight and improved decision-making
Energy
Source: Rahul Basole and Peter Evans, API Economy Visualized, Center for Global Enterprise, 2015
API Economy
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API Economy: Amazon vs. Walmart
Source: Peter Evans and Rahul Basole, with data from ProgrammableWeb, Center for Global Enterprise, 2015
Social media / web
Job search / work
E-commerce
Tools / analytics / big data
Payments
API Clusters
Messaging services
Walmart
Amazon
Companies
Enterprise
Amazon SNS
Alexa Web Inform
Amazon Marketplace
Amazon SimpleDB
Amazon Product Advertising
Amazon CloudWatch
Amazon Flexible
Amazon Redshift
Amazon SC2
Amazon S3 Amazon Mechanical TurkAmazon RDS
Amazon DynamoDB Amazon Queue Service
Walmart
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Rise of IoTInformation Infrastructure Companies
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IoT information infra companiesNew locus of value creation, capture and competition
Agriculture
Physical Layer
Energy
Physical Layer
Healthcare
Physical Layer
Digital Layer Digital Layer Digital Layer Digital Layer
Transportation
IoT information infrastructure companies
Physical Layer
Energy and the data layerIntelligence about energy is dramatically expanding
Source: John Canny, “Designing with Data”, UC Berkeley, EECS, July 2013
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1. Volume and velocity of data growing at
- machine level - facility level- fleet level - network level
New dynamics
2. Expanded monitoring/automation
3. Shift from the reactive to the predictive
4. Experimentation with app stores
5. Many more players in the ecosystem
Open API mashups
Source: Peter Evans and Rahul Basole, with data from ProgrammableWeb, Center for Global Enterprise, 2015
Energy and sustainability APIs lag social, mapping and photos
Social Mapping Mapping Energy Sustainability
Age of Platforms
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Business Models—PlatformsPlatform companies are found in a growing number of industries
Source: CGE Platform Database, 2014
Companies Sectors
Power of network effects
1 connection
Value of the system increases with more users
2 phones
10 connections
5 phones
66 connections
12 phones
Platform business
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Expanding value through matching, interaction and innovation
Platform
Innovation
Software developers MatchingSupply +
Demand
Interaction
Ecosystem
Street lighting applications platform
Building efficiency platform
Emerging energy platforms
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Race to build new platform ecosystems
Apr Jul Oct Jan Apr Jul Oct Jan Apr
2013 2014 2015
Austin Energy*
Green Mountain*
National Grid*
Reliant*
Southern California Edison*
Infinite Energy
Columbia Gas Ohio
ComEd
Npower
CPS Energy
Direct Energy
CamHydro
Essent
Lampiris
Electric Ireland
Hydro One
Bounce Energy
ConEd
SolarCity
Source: Media, press releases and Nest website: https://nest.com/energy-partners/
* Subsidiaries of NRG
**Rush Hour Rewards and Seasonal Savings
Nest Labs grows its utility partnerships**
$5.8 billion
Innovation on the energy data layer
Startups… energy data layer players
Energy supply/ management
Home automation
Distributed energy management
Data/ Analytics
Energy Intelligence
Building automation
Startup Clusters
Source: P. Evans, CGE with data and visualization powered by Quid, 2015
Top 50 Companies-- $5.8 Billion… VC funding, IPOs and M&A
OpTerra Energy Group
Crowd ComfortBuildingIQ
Wave of “energy intelligence” startupsCompanies focused energy information
Source: P. Evans, CGE, 2015
Applications
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Macro approaches
1Determine key building parameters
and begin load disaggregation.
DETECT ATTRIBUTES
Generate unique models of how the buildings is, and could be, performing.
2 CREATE ENERGY MODELS
Compare building to efficient model.
3 COMPARE PERFORMANCE
Target best prospects, automate audits and track efficiency savings
Data Sources: Meter + Weather + Building info
Source: Retroficiency, MIT Platform Strategy Summit, July 2014
Analytic steps
Micro approaches
New platform solutions are emerging that can efficiently gather the sensor data from humans, improving information flows between building occupants and facility managers, boosting comfort and productivity.
Building occupants report conditions
Source: CrowdComfort, MIT Platform Strategy Summit, July 2014
Tapping “human-based” sensor technology
Facility managers receive aggregated “comfort reports”
Energy efficiency’s new golden age?
Admonishment
Shift from …. Automation
1970s
Today
Yesterday and today…
IoT speed and scale
Jeff Immelt, GE Minds & Machines conference, San Francisco, Nov. 2012
Tim Cook, Apple Special Event, San Francisco, Sept 2014
Industrial Internet vs. consumer internet
21st Century Enterprise
ExampleCompanies
Platformecosystem
HierarchalOrganization +
Physical Assets*Structure
Asset Heavy
Daimler MoovelJohnson Controls PanopixGE PredixSamsung Tizen
Asset LightGoogle Google PlayUber Uber appAirbnb Airbnb app
* Includes HQ, other rooftops, retail outlets, manufacturing plants, service shops, etc.
Platform
Global 500 largest firms today
Revenue $ 30 trillion
Assets $121 trillion
# Employees 64.8 million
Source: Fortune Global 500 2013 and Center for Global Enterprise.
Countries
Collective Size
Future of energy
1. Growing importance of the energy data layer
2. Shift in value capture from assets to data
3. Ability to scale across markets/ service territories
4. Power of platforms to harness growth
Harness the forces of change…
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November 10,
2015 Book Launch Event
Columbia Business School
from 9:30am to 11am New York City
energy intelligence
Peter Evans, PhDVice PresidentCenter for Global Enterprise
Photo by Maria Carrasco Rodriguez
Rise of the Data Layer
2015 SEEA & AESP Southeast ConferenceAtlanta, GAOctober 28-30th, 2015