GETTING SMART ER ON ENERGY & MOBILITY REUBEN SARKAR Department - - PowerPoint PPT Presentation

getting smart er on energy mobility
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GETTING SMART ER ON ENERGY & MOBILITY REUBEN SARKAR Department - - PowerPoint PPT Presentation

GETTING SMART ER ON ENERGY & MOBILITY REUBEN SARKAR Department of Energy June 2 nd , 2016 THE OPPORTUNITY AND PROBLEM . Massive wave of changes hitting our transportation system Megatrends Shared Mobility MaaS GPS/Map Services


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REUBEN SARKAR Department of Energy

June 2nd, 2016

GETTING SMARTER ON ENERGY & MOBILITY

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Massive wave of changes hitting our transportation system

THE OPPORTUNITY AND PROBLEM….

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Master the wave or get washed out on GHG emissions

Megatrends Shared Mobility MaaS GPS/Map Services E-Retailing

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TODAY….ADVANCED VEHICLES IN A SUB-OPTIMAL SYSTEM

Efficient vehicles enter an inefficient system

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Designing for the nexus of safety, energy, and mobility

CAVs technology targeting safety is hitting the market.

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INTRODUCING TRANSPORTATION-AS-A-SYSTEM

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§ Today:

− Vehicle-level focus − Independent − Unconnected − Subject to behaviors & decisions

§ Tomorrow:

− System-level focus − Connected − Automated − In concert − Across modes − Managed behaviors & decisions

Explore untapped system- level efficiencies at planning and operations timescales

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Vast range of energy implications … more research required

LARGE ENERGY AND GHG EMISSIONS IMPLICATIONS

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2050 Baseline Energy Consumption

Potential Increase in Energy Consumption Potential Decrease in Energy Consumption

+200%

  • 90%

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UNLOCKING VALUE MAY UNLEASH CONSUMPTION

2050 Baseline Energy Consumption +200%

  • 90%

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Travel More Travel Faster Modal Shifting* Ship More Goods* Reduce Congestion Smooth Traffic Flow Operate More Efficiently Adopt More ZEVs

* Not included in preliminary projections

Potential Increase in Energy Consumption Potential Decrease in Energy Consumption

Will new value creation drive unbridled consumption?

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INCREASINGLY COMPLEX DECISION ENVIRONMENT

Decisions

Cities and Regions Charging/Fueling Infrastructure Data Management Energy Infrastructure

Image by NREL

Connected Travelers CAVs

More Decisions

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Transforming complexity into clarity for decision makers?

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§ Quantify the energy impacts § Identify CAV-enabled opportunities § Inform policy/research on CAVs § Address the barriers to CAVs

CONNECTED & AUTOMATED VEHICLES (CAVs)

EERE Incubator Award (U of M, ANL, INL) 500 Vehicle Fleet

Improving our ability to predict the energy impact of CAV’s

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§ A new class of data science § City-scale computational mobility models § Revealing the previously unknown

URBAN MOBILITY SCIENCE

Providing scientific support to decision makers

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§ A science of decision making § Increasingly complex decision environment § Convergence of ICT, IOT, Shared Economy

MOBILITY DECISION SCIENCE

Technology and policy that anticipate how decisions are made

Driving Lifestyle

Transportation System Decision Points

Travel

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WORLD CLASS LABORATORY RESOURCES

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Automation tools Massive data feeds Propulsion / powertrain Modeling systems HPC architecture and systems Multi-scale mobility models Land use models and regional models

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DOE SMART MOBILITY

Multi-lab consortia exploring the nexus of energy and future mobility paradigms