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Primeur weekly 2012-01-02

The Cloud

Hong Kong's Quality HealthCare adopt IBM Cloud and Analytics ...

Improving security in the Cloud ...

EuroFlash

T-Platforms to build 10 PetaFlops supercomputer ...

Award-winning Maximum Performance Computing (MPC) powers trading systems at J.P. Morgan ...

USFlash

Bright Computing and China HPC Technologies power astronomical research at China's Purple Mountain Observatory ...

Bright Computing Selected for HPC cluster at Texas A&M University ...

40-year-old puzzle of superstring theory solved by supercomputer ...

Virginia Tech's Wu Feng unveils HokieSpeed, a new powerful supercomputer for the masses ...

Lawrence Livermore receives $1.75 million to integrate more renewable sources into California's energy grid ...

A new kind of metal in the deep Earth ...

Compact personal supercomputer provides powerful GPU computing in a small package ...

Tokyo Institute of Technology wins Gordon Bell Prize with NVIDIA GPU-accelerated supercomputer ...

New device could bring optical information processing ...

Asiana Airlines improves business efficiency with Oracle Exadata Database Machine ...

Digicel Haiti implements Oracle Exadata Database Machine to help meet business objectives ...

Iowa Network Services improves services uptime and reduces data centre operational costs with Oracle Solaris ...

BNP Paribas CIB speeds information processing with Oracle Exadata Database Machine ...

Quantum computing has applications in magnetic imaging, according to Pitt researchers ...

Better turbine simulation software to yield better engines ...

Optical fiber innovation could make future optical computers a SNAP ...

Lawrence Livermore receives $1.75 million to integrate more renewable sources into California's energy grid

16 Dec 2011 Livermore - Lawrence Livermore National Laboratory (LLNL) is working with the California Energy Commission to develop ways to increase the amounts of wind and solar generation integrated into California's energy grid. The project will use LLNL's high-resolution weather models and high performance computing to characterize intermittent renewable resources, including wind and solar power. LLNL received $1.75 million from the California Energy Commission to conduct research.

California has mandated that 33 percent of energy generated in the state must come from renewables by 2020. As more renewable energy resources are added to the grid, the ability to accommodate them becomes more challenging. The difficulty of forecasting when and how much wind and solar energy will be produced remains a principal barrier to the integration of larger amounts of renewable energy into the state's power system. Improving the ability of the grid to accommodate these fluctuations in power supply has the potential to reduce electric power rates and dependence on the use of fossil fuels for energy.

"Livermore Lab's exceptional high performance computing capabilities can help the state of California address the challenges of building a 21st century energy system that minimizes the impact of power systems on the environment", stated Tomas Diaz de la Rubia, LLNL deputy director for Science and Technology.

"Improving forecasts will help system operators deal with the intermittent nature of wind and solar power, and aid in making renewable energy an integral part of the state's electricity grid", stated Energy Commission Chair Dr. Robert Weisenmiller.

Strategies for providing "spinning reserve" and "ancillary services" will be analyzed using models of the Western Electricity Coordinating Council available from the California Independent System Operator. The "spinning reserve" is the added generating capacity available by increasing the power output from the generators connected to the power grid. "Ancillary services" are those necessary to support the transmission of electric power from producer to consumer through the complex of control areas and utilities that comprise the energy grid.

Non-energy generation options include "demand response" and energy storage, which are among the main focus of research in this project. "Demand response" is a mechanism for adjusting consumption to available power, such as shutting off appliances during times of high energy demand. Energy generation options also will be considered as part of this research project.

Livermore has a long history in energy-related projects. For example, LLNL has the tools and expertise to better predict wind patterns, including microclimates horizontally across land mass and vertically above the Earth's surface, so that wind plant developers and operators have a better idea of where and how to build the most efficient wind farms. LLNL also has decades of experience in applying supercomputers to the solution of complex scientific and engineering problems.

The new studies will help California leverage advanced modelling and simulation capabilities as well as data from smart meter and advanced grid measurement instruments called "phasor measurement units" to address the challenges of reducing emissions while limiting the economic burden on ratepayers.

Under the project, LLNL scientists also will analyze policies and methods to co-ordinate intermittent generation with the charging of plug-in electric vehicles. Researchers also will evaluate the effects on system stability from increased capacity of renewable generation with solid state inverters.

Evaluation of automated demand response and storage technologies with a range of power ratings and discharge times also will be a key area of study. Finally, the effort will evaluate system stability impacts associated with the increasing capacity of renewable generation equipped with solid state inverters.

Funding for the projects comes from the energy commission's Public Interest Energy Research (PIER) programme. PIER is the state's premier energy R&D programme, advancing science and technology in the fields of energy efficiency, renewable energy, advanced electricity technologies, energy-related environmental protection, transmission and distribution, and transportation technologies.

In its R&D efforts, PIER enlists businesses, utilities, energy companies, public advocacy groups, and world-class scientists and engineers from California universities and national laboratories.

The California Energy Commission is the state's primary energy policy and planning agency. The Public Interest Energy Research programme supports public interest research and development that helps improve the quality of life in California by bringing environmentally safe, reliable, and affordable energy services and products to the marketplace.
Source: Lawrence Livermore National Laboratory

Back to Table of contents

Primeur weekly 2012-01-02

The Cloud

Hong Kong's Quality HealthCare adopt IBM Cloud and Analytics ...

Improving security in the Cloud ...

EuroFlash

T-Platforms to build 10 PetaFlops supercomputer ...

Award-winning Maximum Performance Computing (MPC) powers trading systems at J.P. Morgan ...

USFlash

Bright Computing and China HPC Technologies power astronomical research at China's Purple Mountain Observatory ...

Bright Computing Selected for HPC cluster at Texas A&M University ...

40-year-old puzzle of superstring theory solved by supercomputer ...

Virginia Tech's Wu Feng unveils HokieSpeed, a new powerful supercomputer for the masses ...

Lawrence Livermore receives $1.75 million to integrate more renewable sources into California's energy grid ...

A new kind of metal in the deep Earth ...

Compact personal supercomputer provides powerful GPU computing in a small package ...

Tokyo Institute of Technology wins Gordon Bell Prize with NVIDIA GPU-accelerated supercomputer ...

New device could bring optical information processing ...

Asiana Airlines improves business efficiency with Oracle Exadata Database Machine ...

Digicel Haiti implements Oracle Exadata Database Machine to help meet business objectives ...

Iowa Network Services improves services uptime and reduces data centre operational costs with Oracle Solaris ...

BNP Paribas CIB speeds information processing with Oracle Exadata Database Machine ...

Quantum computing has applications in magnetic imaging, according to Pitt researchers ...

Better turbine simulation software to yield better engines ...

Optical fiber innovation could make future optical computers a SNAP ...