Posts Tagged ‘Oak Ridge National Laboratory’
Friday, October 2, 2015 @ 03:10 PM gHale
Lock Data Solutions just licensed Data Diode technology from Oak Ridge National Laboratory designed to protect a company’s data from internal and external threats.
Data Diode, developed by ORNL’s Lawrence MacIntyre and Nate Paul, uses a defense-in-depth computer network strategy to create an environment in which an organization’s approved users can work freely inside an enclave of protected data but restricts file transfers outside the network.
Donald McGuire, chief executive at Lock Data Solutions, said the technology is a perfect fit for his company, noting his management team consists of professionals who have enjoyed commercial success with various technologies, including a secured wireless communication technology for the Navy. After picking up the license, he will bring to market the company’s Lock Data CounterX, a software suite that includes ORNL’s Data Diode technology.
“With the help of the technology being licensed today, we expect to create a sea change in the balance of power between those protecting data and those seeking to steal it,” McGuire said.
Armed with CounterX, an intruder who has penetrated the network can see the protected information but cannot download the actual data, McGuire said. And during the time it takes the intruder to search for a way around the obstacle, the network’s detection can locate and thwart the malicious intent of the intruder.
“Hackers are going to get in,” said Paul, a member of ORNL’s Cyber and Information Security Research group. “Employees can accidentally put confidential data at risk. The ORNL Data Diode addresses this problem by restricting important data from being copied out of network, thereby alleviating and alerting such specific and unauthorized activities.”
Paul said banks are vulnerable and have trusted consumer data including social security numbers, addresses and birth dates. A recent breach compromised data for 76 million households.
Lock Data Solutions LLC, located in New York City, is a technology company dedicated to bringing cutting edge solutions to cloud and network cyber security.
Monday, July 13, 2015 @ 07:07 PM gHale
Turning trees, grass, and other biomass into fuel for automobiles and airplanes is a costly and complex process, but it is not impossible.
The goal is to have cellulosic ethanol, an alcohol derived from plant sugars, as common and affordable at the gas station as gasoline.
That goal will end up accomplished after researchers unravel the tightly wound network of molecules — cellulose, hemicellulose, and lignin — that make up the cell wall of plants for easier biofuel processing.
Using high-performance computing, a group of researchers at Oak Ridge National Laboratory (ORNL) provided insight into how this might occur by simulating a well-established genetic modification to the lignin of an aspen tree in atomic-level detail.
The team’s conclusion: Hydrophobic, or water repelling, lignin binds less with hydrophilic, or water attracting, hemicelluloses. That knowledge points researchers toward a promising way to engineer better plants for biofuel.
The study is important because lignin, which is critical to the survival of plants in the wild, poses a problem for ethanol production, preventing enzymes from breaking down cellulose into simple sugars for fermentation.
Jeremy Smith, the director of ORNL’s Center for Molecular Biophysics and a Governor’s Chair at the University of Tennessee, led the project. His team’s simulation of a genetically modified lignin molecule linked to a hemicellulose molecule adds context to work conducted by researchers at the Department of Energy’s (DoE) BioEnergy Science Center (BESC), who demonstrated genetic modification of lignin can boost the amount of biofuel derived from plant material without compromising the structural integrity of the plant.
“BESC scientists created lots of different lignins randomly through genetic modification,” Smith said. “They found one that worked for them, but they wanted to know why it worked.”
To find the answer, Smith’s team turned to Titan, a 27-petaflop supercomputer at the Oak Ridge Leadership Computing Facility (OLCF).
Altering a Tree
Aspens are among the most widespread trees in North America, with a habitable zone that extends across the northern United States and Canada. As part of the genus Populus, which includes poplars and cottonwoods, they are fast growing and have the ability to adapt to diverse environments. Those are two qualities that make them prime candidates for cellulosic ethanol. Compared to traditional biofuel crops like corn and sugarcane, aspens require minimal care; they also can grow in areas where food crops cannot grow.
But the hardiness that allows aspens to thrive in nature makes them resistant to enzymatic breakdown during fermentation, an important step for converting biomass into ethanol. This problem can trace back to the molecular makeup of the plant cell wall, where lignin and hemicellulose bond to form a tangled mesh around cellulose.
Cellulose, a complex carbohydrate made up of glucose strands, comprises nearly half of all plant matter. It gives plants their structure, and it’s the critical substance needed to make cellulosic ethanol. To break down cellulose, one must get past lignin, a waste product of biofuel production that requires expensive treatments to isolate and remove. By throwing a wrench in the plant cell’s lignin assembly line, BESC scientists found they could boost biofuel production by 38 percent.
In nature, lignin adds strength to cellulosic fibers and protects the plant from predators and disease. Lignin molecules consist of multiple chemical groups made up of carbon, oxygen, and hydrogen assembled within the cell during a process called biosynthesis. During assembly, enzymes catalyze molecules into more complex units. By suppressing a key enzyme, Cinnamyl-alcohol dehydrogenase, BESC scientists created an “incomplete” lignin molecule. Instead of a hydrophilic alcohol group (an oxygen–hydrogen molecule bound to a hydrogen-saturated carbon atom), the final lignin polymer contained a hydrophobic aldehyde group (a carbon atom double-bonded to an oxygen atom).
“We wanted to see if there was a difference in the lignin–hemicellulose network if you substituted water-resisting aldehydes in the lignin for water-attracting alcohols,” said Loukas Petridis, an ORNL staff scientist. “Geneticists knew the modified plant could be more easily broken down, but they didn’t have an atomic-level explanation that a supercomputer like Titan can provide.”
Finding a Shortcut
Using a molecular dynamics code called NAMD, the team ran simulations of the wild lignin and the genetically modified lignin in a water cube, modeling the presence of the aldehydes by altering the partial charges of the oxygen and hydrogen atoms on the modified lignin’s allylic site.
The team simulated multiple runs of each 100,000-atom system for a few hundred nanoseconds, tracking the position of atoms in time increments of a femtosecond, or 1 thousand trillionth of a second. A comparison of the simulations showed weaker interaction between hemicellulose and the modified lignin than with wild lignin, suggesting that hydrophobic lignin interacts less with hydrophilic hemicellulose.
“From this you could make the testable assumption that making lignin more hydrophobic may lead to plants that are easier to deconstruct for biofuel,” Petridis said. “That’s the kind of rational insight we can provide using computer simulation.
“It took a decade of work to determine all the steps of lignin biosynthesis and find ways to manipulate genes. In the future, we hope to circumvent some of the work by continuing to test our models against experiment and making good suggestions about genes using supercomputers. That’s where the predictive power of molecular dynamic codes like NAMD comes in.”
“This modification is a bit more subtle and more complex to simulate,” Petridis said. “Finding out how good a predictive tool NAMD can be is the next step.”
Tuesday, January 20, 2015 @ 12:01 PM gHale
One of the issues behind detecting malware is how can you discover the bad software if you don’t even know it is bad software.
That issue can soon go away as a cyber security technology created at the Department of Energy’s (DoE) Oak Ridge National Laboratory (ORNL), can recognize malicious software even if the specific program has not been identified as a threat.
By computing and analyzing program behaviors associated with harmful intent, ORNL’s Hyperion technology can look inside an executable program to determine the software’s behavior without using its source code or running the program, said one of its inventors, Stacy Prowell of ORNL’s Cyber Warfare Research team.
“These behaviors can be automatically checked for known malicious operations as well as domain-specific problems,” Prowell said. “This technology helps detect vulnerabilities and can uncover malicious content before it has a chance to execute.”
Hyperion, which has been under development for a decade, offers more comprehensive scanning capabilities than existing cyber security methods.
“This approach is better than signature detection, which only searches for patterns of bytes,” Prowell said. “It’s easy for somebody to hide that — they can break it up and scatter it about the program so it won’t match any signature.”
Washington, D.C.-based R&K Cyber Solutions LLC (R&K) licensed Hyperion and is looking to go to market with the program this month.
“Software behavior computation is an emerging science and technology that will have a profound effect on malware analysis and software assurance,” said R&K Cyber Solutions Chief Executive Joseph Carter. “Computed behavior based on deep functional semantics is a much-needed cyber security approach that has not been previously available. Unlike current methods, behavior computation does not look at surface structure. Rather, it looks at deeper behavioral patterns.”
Carter said technology’s malware analysis capabilities can apply to multiple related cyber security problems, including software assurance in the absence of source code, hardware and software data exploitation and forensics, supply chain security analysis, anti-tamper analysis and potential first intrusion detection systems based on behavior semantics.
The licensed intellectual property includes two patent-pending technologies invented by Kirk Sayre of the Computational Sciences and Engineering Division and Richard Willems and former ORNL employee Stephen Lindberg of the Electrical and Electronics Systems Research Division. Others contributing to the technology were David Heise, Kelly Huffer, Logan Lamb, Mark Pleszkoch and Joel Reed of the Computational Sciences and Engineering Division.
Hyperion strengthens the cyber security of critical energy infrastructure by providing evidence of the secure functioning of energy delivery control system devices without requiring disclosure of the source code. This can advance resilient energy delivery systems designed, installed, operated and maintained to survive a cyber incident while sustaining critical functions.
Wednesday, November 12, 2014 @ 04:11 PM gHale
There are benefits for microgrids, small systems powered by renewables and energy storage devices, to break away from the main grid and working off its own island.
The benefit is microgrids can disconnect from larger utility grids and continue to provide power locally.
“If the microgrid is always connected to the main grid, what’s the point?” Department of Energy and Oak Ridge National Laboratory researcher Yan Xu asked. “If something goes wrong with the main grid, like a dramatic drop in voltage, for example, you may want to disconnect.”
The idea behind microgrids is to not only continue power to local units such as neighborhoods, hospitals or industrial parks, but also improve energy efficiency and reduce cost when connected to the main grid.
Researchers predict an energy future more like a marketplace in which utility customers with access to solar panels, battery packs, plug-in vehicles and other sources of distributed energy can compare energy prices, switch on the best deals and even sell back unused power to utility companies.
However, before interested consumers can plug into their own energy islands, researchers at facilities such as ORNL’s Distributed Energy Control and Communication (DECC) lab need to develop tools for controlling a reliable, safe and efficient microgrid.
To simulate real scenarios where energy would end up used on a microgrid, DECC houses a functional microgrid with a generation capacity of 250 kilowatts (kW) that seamlessly switches on and off the main grid.
This grid includes an energy storage system that generates 25kW of power and uses 50kW hours of energy built from second-use electric vehicle batteries, a 50kW- and a 13.5 kW-solar system and two smart inverters that serve as the grid interfaces for the distributed energy emulators. Programmable load banks that mimic equipment consuming energy on the grid can provide sudden large load changes and second-by-second energy profiles.
“A microgrid should run an automated optimization frequently, about every five to 10 minutes,” Xu said.
To optimize grid operations, microgrid generators, power flow controllers, switches and loads must end up outfitted with sensors and communication links that can provide real-time information to a central communications control.
“Microgrids are not widely deployed yet. Today, functional microgrids are in the R&D phase, and their communications are not standardized,” Xu said. “We want to standardize microgrid communications and systems so they are compatible with the main grid and each other.”
Now two years into the inception of ORNL’s microgrid project — “Complete System-Level Efficient and Interoperable Solution for Microgrid Integrated Controls,” or CSEISMIC — the microgrid test bed at DECC is functional and employs an algorithm developed at ORNL that directs automatic transition on and off ORNL’s main grid.
Xu said the next year will focus on getting the energy management system (EMS) running. The EMS will drive optimization by allowing microgrid components to fluctuate an operation based on parameters such as demand and cost.
“The EMS may, for instance, tell the PVs [solar cells] how much power to generate for the next five to 10 minutes based on the time of day and energy demand,” Xu said.
The CSEISMIC team has long-term goals of partnering with industries to conduct field demonstrations of standardized grid prototypes.
“As soon as microgrids are standardized and easy to integrate into the main grid,” Xu said, “we’ll start seeing them in areas with a high penetration of renewables and high energy prices.”
Friday, April 25, 2014 @ 11:04 AM gHale
Treating cadmium-telluride (CdTe) solar cell materials with cadmium-chloride improves their efficiency, but how that happens remained a mystery – until now.
After an atomic-scale examination of the thin-film solar cells, the light bulb has turned on and this decades-long debate about the materials’ photovoltaic efficiency increase after treatment appears solved.
A research team from led by the Department of Energy’s (DoE) Oak Ridge National Laboratory (ORNL), the University of Toledo and DoE’s National Renewable Energy Laboratory used electron microscopy and computational simulations to explore the physical origins of the unexplained treatment process.
Thin-film CdTe solar cells are a potential rival to silicon-based photovoltaic systems because of their theoretically low cost per power output and ease of fabrication. Their comparatively low historical efficiency in converting sunlight into energy, however, has limited the technology’s widespread use.
Research in the 1980s showed that treating CdTe thin films with cadmium-chloride significantly raises the cell’s efficiency, but scientists have been unable to determine the underlying causes. ORNL’s Chen Li, first author of a study on the subject, said the answer lay in investigating the material at an atomic level.
“We knew that chlorine was responsible for this magical effect, but we needed to find out where it went in the material’s structure,” Li said. “Only by understanding the structure can we understand what’s wrong in this solar cell — why the efficiency is not high enough, and how can we push it further.”
By comparing the solar cells before and after chlorine treatment, the researchers realized atom-scale grain boundaries ended up implicated in the enhanced performance. Grain boundaries are tiny defects that normally act as roadblocks to efficiency, because they inhibit carrier collection which greatly reduces the solar cell power.
Using state of the art electron microscopy techniques to study the thin films’ structure and chemical composition after treatment, the researchers found chlorine atoms replaced tellurium atoms within the grain boundaries. This atomic substitution creates local electric fields at the grain boundaries that boost the material’s photovoltaic performance instead of damaging it.
The research team’s finding, in addition to providing a long-awaited explanation, could help guide engineering of higher-efficiency CdTe solar cells. Controlling the grain boundary structure is a new direction that could help raise the cell efficiencies closer to the theoretical maximum of 32 percent light-to-energy conversion, Li said. Currently, the record CdTe cell efficiency is only 20.4 percent.
“We think that if all the grain boundaries in a thin film material could be aligned in same direction, it could improve cell efficiency even further,” Li said.
Friday, February 21, 2014 @ 09:02 AM gHale
A new suite of computer codes that closely model the behavior of neutrons in a reactor core, called neutronics, could give a more accurate way to analyze nuclear power reactors.
Technical staff at Westinghouse Electric Company, LLC, supported by the research team at the Consortium for Advanced Simulation of Light Water Reactors (CASL), used the Virtual Environment for Reactor Applications core simulator (VERA-CS) to analyze its AP1000 advanced pressurized water reactor (PWR). The testing focused on modeling the startup conditions of the AP1000 plant design.
“In our experience with VERA-CS, we have been impressed by its accuracy in reproducing past reactor startup measurements. These results give us confidence that VERA-CS can be used to anticipate the conditions that will occur during the AP1000 reactor startup operations,” said Bob Oelrich, manager of PWR Core Methods at Westinghouse. “This new modeling capability will allow designers to obtain higher-fidelity power distribution predictions in a reactor core and ultimately further improve reactor performance.”
The AP1000 reactor is an advanced reactor design with enhanced passive that builds on decades of Westinghouse’s experience with PWR design. The first eight units are currently under construction in China and the United States, and represent the first Generation III+ reactor to receive Design Certification from the U.S. Nuclear Regulatory Commission.
CASL is a U.S. Department of Energy (DoE) Innovation Hub established at Oak Ridge National Laboratory (ORNL), a part of DoE’s National Laboratory System. The consortium core partners are a strategic alliance of leaders in nuclear science and engineering from government, industry and academia.
“At CASL, we set out to improve reactor performance with predictive, science-based, simulation technology that harnesses world-class computational power,” said CASL Director Doug Kothe. “Our challenge is to advance research that will allow power uprates and increase fuel burn-up for U.S. nuclear plants. In order to do this, CASL is meeting the need for higher-fidelity, integrated tools.”
During the first generation of nuclear energy, performance and safety margins ended up at conservative levels as industry and researchers gained experience with the operation and maintenance of what was then a new and complex technology. Over the past 50 years, nuclear scientists and engineers gained a deeper understanding of the reactor processes, further characterizing nuclear reactor fuel and structure materials.
By making use of newly available computing resources, CASL’s research aims for a step increase in the improvements in reactor operations that have occurred over the last several decades.
“CASL has been using modern high-performance computing platforms such as ORNL’s Titan, working in concert with the INL Fission computer system, for modeling and simulation at significantly increased levels of detail,” said CASL Chief Computational Scientist John Turner. “However, we also recognized the need to deliver a product that is suitable for industry-sized computing platforms.”
With that understanding, CASL designed the Test Stand project to try out tools such as VERA-CS in industrial applications. CASL partner Westinghouse ended up selected as the host for the first trial run of the new VERA nuclear reactor core simulator (VERA-CS). Westinghouse chose a real-world application for VERA-CS: The reactor physics-analysis of the AP1000 PWR, which features a core design with several advanced features. Using VERA-CS to study the AP1000 provides information to further improve the characterization of advanced cores compared to traditional modeling approaches.
Westinghouse’s test run on VERA-CS focused on modeling one aspect of reactor physics called “neutronics,” which describes the behavior of neutrons in a reactor core. While neutronics is only one of VERA’s capabilities, the results provided by VERA-CS for the AP1000 PWR enhance Westinghouse’s confidence in their startup predictions and expand the validation of VERA by incorporating the latest trends in PWR core design and operational features.
The CASL team now is working on extending the suite of simulation capabilities to the entire range of operating conditions for commercial reactors, including full-power operation with fuel depletion and fuel cycle reload.
Wednesday, November 20, 2013 @ 04:11 PM gHale
By identifying fundamental forces that change plant structures during pretreatment processes used in the production of bioenergy, there may be more effective ways to convert woody plant matter into biofuels.
Pretreatment subjects plant material to extremely high temperature and pressure to break apart the protective gel of lignin and hemicellulose that surrounds sugary cellulose fibers.
“While pretreatments are used to make biomass more convertible, no pretreatment is perfect or complete,” said Department of Energy’s Oak Ridge National Laboratory’s (ORNL) Brian Davison, who was a coauthor of a research study and paper on the subject.
“Whereas the pretreatment can improve biomass digestion, it can also make a portion of the biomass more difficult to convert,” he said. “Our research provides insight into the mechanisms behind this ‘two steps forward, one step back’ process.” Also, pretreatment is the most expensive stage of biofuel production.
The team’s integration of experimental techniques including neutron scattering and X-ray analysis with supercomputer simulations revealed unexpected findings about what happens to water molecules trapped between cellulose fibers.
“As the biomass heats up, the bundle of fibers actually dehydrates — the water that’s in between the fibers gets pushed out,” said ORNL’s Paul Langan. “This is very counterintuitive because you are boiling something in water but simultaneously dehydrating it. It’s a really simple result, but it’s something no one expected.”
This process of dehydration causes the cellulose fibers to move closer together and become more crystalline, which makes them harder to break down.
In a second part of the study, the researchers analyzed the two polymers called lignin and hemicellulose that bond to form a tangled mesh around the cellulose bundles. According to the team’s experimental observations and simulations, the two polymers separate into different phases when heated during pretreatment.
“Lignin is hydrophobic so it repels water, and hemicellulose is hydrophilic, meaning it likes water,” Langan said. “Whenever you have a mixture of two polymers in water, one of which is hydrophilic and one hydrophobic, and you heat it up, they separate out into different phases.”
Understanding the role of these underlying physical factors — dehydration and phase separation — could enable scientists to engineer improved plants and pretreatment processes and ultimately bring down the costs of biofuel production.
“Our insight is that we have to find a balance which avoids cellulose dehydration but allows phase separation,” Langan said. “We know now what we have to achieve — we don’t yet know how that could be done, but we’ve provided clear and specific information to help us get there.”