22
Clean Energy Commons Accelerating Transitions to Clean Energy Systems Wolfram Data Summit Washington, D.C. September 9, 2010 Stuart Macmillan

Clean Energy Commons

  • Upload
    eitan

  • View
    38

  • Download
    0

Embed Size (px)

DESCRIPTION

Clean Energy Commons. Accelerating Transitions to Clean Energy Systems. Stuart Macmillan. Wolfram Data Summit Washington, D.C. September 9, 2010. Economy. Society. Security. Environment. The Energy Challenge. How do we meet the growing demand for energy while protecting the planet? . - PowerPoint PPT Presentation

Citation preview

Page 1: Clean Energy Commons

Clean Energy Commons

Accelerating Transitions to Clean Energy Systems

Wolfram Data SummitWashington, D.C. September 9, 2010

Stuart Macmillan

Page 2: Clean Energy Commons

The Energy Challenge

Society

Economy

Environment

Security

How do we meet the growing demand for energy while protecting the planet? Adapted from Sally Benson 2010

Page 3: Clean Energy Commons

Why so difficult?

Society

Economy

Environment

Security

Requiring innovation and collaboration at an unprecedented scale

Adapted from the 2010 Arrow Lecture by Jeffry Sachs

globaltemporaldisruptive

high uncertaintyinterconnected

impacturgent

WHY

Page 4: Clean Energy Commons

WHY

Energy decisions questions WHAT

technologypolicies

investmentsbusiness models

researcheducation

We need trusted foundational knowledge

that informs our energy decisions

Energy Choices

Page 5: Clean Energy Commons

Virtuous energy cycle

Informed decisions build confidence and momentum

Poor decisions undermine trust and action

Industry

ConsumersInvestors

Researchers

Educators

Government

informed researchersinformed investors

informed policy-makers Informed companiesinformed workforce

informed consumers

Page 6: Clean Energy Commons

Clean Energy Commons

Accessible and trusted information that

informs our energy decisions

1. Improved access to energy information

2. Community supported contributions

3. Easy, legal and scalable sharing

4. Actionable quality assessments

openei.org

Page 7: Clean Energy Commons

Virtual Aggregation

Improved access to energy information

• Focus on the meta-data• Link to established data-

sets• Link to real-time data

feeds• Enable community

aggregation• Link to modeled data

services• Archive historical data

AFDC

W3CWordNet

BBC Later + TOTP

Music-

brainz

DBLP Berli

n

Revyu

FOAF

Semi Web

Central

Gov-track

Worldbank

Fresh- meat

Open- Guide

s

SIOC

ECS Southampton

DBLP Hanno

ver

DBTune

USCens

us

Geo-names

Data.gov

IEA

SmartGrid.go

vRecover

y.gov

ORNLData

EIA

Stanford

W3CWordNe

t

Music-brainz

DBLP Berlin

Revyu

Project

Gueten-berg

Euro-stat

World Fact Book

FOAF

RDF Book

Mashup

DBpedia

Clean Energy Commo

ns

Page 8: Clean Energy Commons

Distributed Work

Community support for contributions & collaboration

• Distribute work to the most able

• Shared standards for integration

• Open the system for value add

• Higher value through higher use

• Higher quality through many eyes

Page 9: Clean Energy Commons

Publish Content

Easy, legal and scalable sharing Source: Wilbanks 2010

PUBLISH ENERGY DATA • Reconstruction of the public domain• Fallback to CC BY 3.0 • Leverage embargo periods

PUBLISH ENERGY TOOLS & MODELS• Choose a specific OSI approved license• Mandating BSD – most consumable by business, most interoperable

PUBLISH ENERGY KNOWLEDGE • CC BY or BY-SA 3.0 easiest to use• Think carefully before adding non commercial clause

Page 10: Clean Energy Commons

Quality Assessment

Actionable quality assessments & systematic improvement

Available – EfficientProvidence – Reputation

Reliable – Objective - Accurate

Verifiable – ReproducibleUseful – Timely

Systematic improvement

Can I Trust and Act on the Information?

Page 11: Clean Energy Commons

What’s In The Commons?

TECHNICAL

EDUCATIONRESEARCH

ECONOMIC POLICY

INVESTMENT

Published collective intelligence of the community

DATA

MODELS

TOOLS

KNOWLEDGE

TECHNOLOGY

energy

Page 12: Clean Energy Commons

Information Sources

Integration of multiple & diverse information sources

Community“The Wiki Way”

Centralized“The Blog Model”

Authoring

Aggregation of Community

Input

Single Individual or Institution

Distribution Open Open

Feedback Community+

Examples

Born Digital“The Machine Way”

Users+ Users+

Open

Machine Controlled Model or Sensors

Page 13: Clean Energy Commons

Content contributors

Initial focus was on existing curated energy content

GOVERNMENTS (H)• Publish mandate• Largest contributor• Open government

RESEARCHERS (H)• Research universities• National laboratories• NGOs

INVESTORS (L-M) • Banks• VCs• Funds (indirect via industry)

INDUSTRY (L-M)• Technical • Financial/performance • Deployments

EDUCATORS (L)• Derived content• Case studies• Instructional content

CONSUMERS (L-M)• Individual content• Demand change• Significant if aggregated

Researchers

Industry

ConsumersInvestors

Researchers

Educators

Government

Page 14: Clean Energy Commons

Content users

Initial focus was on government & researchers

)

GOVERNMENTS (H)• Goals & policies• Incentives & mandates• Invest & assess

RESEARCHERS (H)• Cross disciplines • Collaboration• Accelerated discovery

INVESTORS (M)• Commercialization• Risk reduction• Deployments

INDUSTRY (M)• Product development• Commercial R&D• Competitive analysis

EDUCATORS (M-H) • Databooks• Courseware• Case Studies

CONSUMERS (L-M) • Comparison shopping• Energy efficiency• Cost –benefit analysis

Researchers

Industry

ConsumersInvestors

Researchers

Educators

Government

Page 15: Clean Energy Commons

Exergy flow of earth

ThermalNuclearRadiationKineticChemicalGravitational

KEY

What energy resources do we use?Source: Stanford GCEP 2010

Page 16: Clean Energy Commons

U.S. View

Page 17: Clean Energy Commons

Energy Resources

Page 18: Clean Energy Commons

Renewable Deployments

Value created by the aggregation of distributed data

OpenPV

installersutilities

individualsgovernment

OpenPV, NREL 2010

Page 19: Clean Energy Commons

Energy Policy

ARRA Smartgrid Investments

EIA source – demand mappingDOE alternative fuel availability

DSIRE incentives data

Page 20: Clean Energy Commons

Born digital data

The tsunami of born digital energy fills gaps

and helps improve quality

Sensor & Modeled Energy Data

resourcegeneration

usagepricing

energy efficiencyperformance

Design vs. Performance Stanford, Y2E2 Building

Remote Sensing of Energy Resources

Page 21: Clean Energy Commons

Energy Decisions

Foundational knowledge Definitive answers to factual questions

Transparent reasoning for complex judgments

Analysis – Synthesis - Evaluation

Application

Comprehension

Knowledge

* Source: Anderson & Krathwohl, 2001

Analysis – Synthesis – EvaluationAnalyze elements, relationships, principlesCompile information in new waysJudge information, ideas or work

Application Solve problems in new situations by applying acquired knowledge, facts, techniques and rules

Comprehension Organize, compare, translate, interpret, describe, summarize

Knowledge Recall facts, terms, concepts and answers

Reason

Compute

Lookup