LLNL-PRES-654696 This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344. Lawrence Livermore National Security, LLC

Presented to:

Silicon Valley Leadership Group May 22, 2014

Renewable Energy Research Facility at Lawrence Livermore National Lab’s Site 300

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AB 32

RPS

Energy Storage

…

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LLNL is a multidisciplinary national security laboratory

Established in 1952

Approximately 6,000 employees

7.1 million gross square feet, 684 facilities

Annual federal budget: ~ $1.5B

Experimental Test Site (11 miles2 near Tracy, CA)

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Lawrence Livermore National Laboratory LLNL-PRES-xxxxxx

Energy and Climate Strategic Goal: Deliver transformational science and technology solutions for security, reliability, and sustainability of energy and climate systems.

Increase supply of U.S. energy resources, while minimizing

environmental impacts and reducing

costs

Ensure safe, secure, and reliable delivery of U.S. energy resources

across regional transmission and local

distribution

Predict and understand climate

change challenges and local impacts; and, develop options for future adaptation

Secure Energy Innovate abundant domestic

energy resources

Secure Climate Predict climate challenges,

Deliver adaptation options

Secure Delivery Provide resilient access,

transmission, and distribution

Lawrence Livermore National Laboratory LLNL-PRES-xxxxxx

Utility scale Generation Utility scale Research

Site 300

Site 300 – Renewable Energy Research Facility Initiative

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We are applying atmospheric science, field experiments and huge simulation to advance wind energy deployment and dispatch

Using high performance computing, we are simulating atmospheric flow over complex terrain

High resolution wind farm simulation

• Wind resource assessment • Wind turbine siting • Optimizing wind farm performance • Forecasting for renewable integration

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Detailed analysis of flow across turbine blades

Turbine-turbine wake interactions

Predicting, understanding, and optimizing whole farm wind energy generation performance

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Power output, with

uncertainty Turbine multi-physics Atmospheric wind

prediction

Improved forecasting yields greater renewable energy deployment

Lawrence Livermore National Laboratory LLNL-PRES-xxxxxx

Lawrence Livermore National Laboratory LLNL-PRES-xxxxxx

N

LLNL’s Site 300

• Flow perpendicular to the ridge lines is frequent and results in higher wind speeds nearer to the ground than aloft (green line).

• More expensive, taller turbines may not be required to optimize power generation.

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colors indicate amount of turbulence

Pn

orm

(%)

rotor-disk wind speed (m/s)

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Lawrence Livermore

National

Laborator

y

11/25/2011 12/30/2011

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Discussion Draft

60-90 MW Wind

30-50 MW Solar

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Government

Industrial

Academic

LLNL

Renewable

Program

Lawrence Livermore National Laboratory LLNL-PRES-xxxxxx

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Research, development, demonstration …

Solar and wind optimization and forecasting

Renewable energy technology development and demonstration

Renewable energy – energy storage – grid integration

Facility enabling industrial/academic partnerships