![]() SDSC Explores Deep Learning Multimodal Models to Enhance Early Fire Alerts.GIGABYTE Unveils Next-Gen GPU Servers Optimized for 4th Gen Intel Xeon and NVIDIA Platforms.Supermicro Announces High Volume Production of E3.S All-Flash Storage Portfolio with New CXL Memory Expansion Offerings.NSF Celebrates First Anniversary of CHIPS and Science Act.SC23 Enhances Inclusivity: Introducing New Exhibit Opportunities for Emerging HPC Researchers.IonQ Announces 2nd Quarter 2023 Financial Results.Rigetti Computing Reports 2nd Quarter 2023 Results.Exxact Corporation Systems to Feature New NVIDIA Ada Generation GPUs.DOE Announces $11M for Exploratory Research in Extreme-Scale Science.NIST Demonstrates a New ‘Primary Standard’ for Measuring Ultralow Pressures.OSC Joins National Dialogue on Research Computing Issues at PEARC23.GDIT Expands NOAA Supercomputing Capacity for Advanced National Weather Forecasting.Source: Kimberly Mann Bruch, San Diego State University Supercomputer time was allocated via the NSF’s Extreme Science and Engineering Discovery Environment (XSEDE). The research was supported by the National Science Foundation (NSF) Graduate Research Fellowship Program (award DGE1324585) and the NSF’s SI2 program (awards OAC 1450327 and OAC 1450374). “We are extremely grateful for being able to push the boundaries of various simulation techniques to expand our research on better engineering converters for this untapped resource of wave energy.” “The supercomputers helped us demonstrate that our technique is robust and can be used for complex engineering problems,” said Bhalla. The researchers also used the College of Engineering’s Fermi high-performance computing service at San Diego State University. For example, while their work required hundreds of processors and multiple days of time to run, computational time on Comet and Bridges enabled them to demonstrate the parallel scalability of their simulation technique as well as validate various three-dimensional, large-scale test cases. Some large-scale modeling challenges were also encountered by the researchers while conducting their study. “There is a need for these devices to perform effectively year-round using optimal control strategies, and our simulations could be an initial step in making this happen.”īecause wave energy converter engineering is still in the research and development phase, such simulations allowed the scientists to show how their models could let engineers inexpensively investigate their design space before building full-scale prototypes. A brief animation can be viewed here. ![]() “We primarily used our simulation techniques to investigate inertial sea wave energy converters, which are renewable energy devices developed by our collaborators at the Polytechnic University of Turin that convert wave energy from large bodies of water into electrical energy,” explained study co-author Amneet Pal Bhalla, an assistant professor of mechanical engineering at San Diego State University. Image courtesy of Bhalla Group, San Diego State University.įocused on modeling complex fluid-structure interaction problems, the research team’s study encompassed simulations such as heavy rigid structures interacting with high winds, breaking waves, and other complex marine characteristics. This image shows the interaction of an inertial sea wave energy converter device with incoming ocean waves in a “numerical” wave tank. The implementation of the team’s solver was shown to be highly scalable on modern high-performance computer architectures and used by the larger research community to better understand various fluid-structure interaction problems. While several challenges, such as operating complex devices in harsh ocean conditions, must be overcome before wave energy becomes a realistic option for mainstream power, one step toward a solution was recently studied and validated by an international team of engineering researchers. The team’s findings related to their wave energy simulation tool was published in the Journal of Computational Physics, with the outcomes validated using the Comet supercomputer at the San Diego Supercomputer Center (SDSC) and Bridges at the Pittsburgh Supercomputing Center (PSC). While this process has not yet been perfected, it has the potential to reduce our reliance on fossil fuels. Since 1987 - Covering the Fastest Computers in the World and the People Who Run ThemĪpSimilar to solar panels and wind turbines, wave energy converters harness energy from Mother Nature’s resources – specifically ocean waves – and turn them into electricity.
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