CCSI Toolset Wins R&D100 Award
November 4, 2016
Contact: Linda Vu, [email protected], +1 510.495.2402
The CCSI Toolset—a suite of computational tools and models designed to accelerate the development of cost-effective carbon capture technology—has been awarded a 2016 R&D100 Award. This year, the awards were presented at a black-tie dinner on November 3, 2016 at the Gaylord National Resort & Convention Center in Oxon Hill, Maryland (Washington, D.C.).
The Toolset was developed by a collaboration led by the National Energy Technology Laboratory (NETL), and included multiple Department of Energy National Laboratories, including Lawrence Berkeley National Laboratory (Berkeley Lab), several universities and industry partners.
The CCSI Toolset supports and accelerates the development, scale-up and commercialization of carbon dioxide (CO2) capture technology by enabling more thorough vetting of options, complete understanding how processes will operate at scale under relevant field conditions, and increased understanding how uncertainty affects risk. By maximizing learning in the pilot project phase—a limited and often expensive opportunity to collect data before mass commercialization—the CCSI Toolset can reduce the timeline between research and commercialization of technologies and enable greater confidence in the investment. Although the Toolset was developed specifically to scale up CO2 capture technologies, the finished product has proved to be much more versatile. Experts say the CCSI toolset can also readily be used to accelerate the development of technologies for refining, chemicals production, as well as oil and natural gas production.
Here is the complete list of CCSI Toolset contributors from Berkeley Lab:
- David Brown (Berkkeley Lab Lead)
- Joshua Boverhof (Turbine Science Gateway)
- Abdelrahman Elbashandy (Turbine Science Gateway)
- You-Wei Cheah (Data Management Framework)
- Sarah Poon (User Interface Design)
- Maciej Haranczyk (EFRC database), Forrest Abouelnasr (EFRC Database)
- Berend Smit (EFRC Database)
- Forrest Abouelnasr (EFRC database)
- Biju Jacob (Systems Support)
- Vivian Wolinsky (IP)
- Robin Johnston (IP)
- Abdelilah Essiari (Software Test)
- Megha Sandesh (User Interface Design)
- Doug Olsen (Licenses)
- Deb Agarwal (CCSI Integration Framework Task Lead)
- Keith Beattie (Software Development Support Co-Lead)
- Paolo Calafiura (Software Development Support Co-Lead)
- Jessica Voytek (User Interface)
Other CCSI collaborators came from:
- National Energy Technology Laboratory (NETL)
- Lawrence Livermore National Laboratory (LLNL)
- Los Alamos National Laboratory (LANL)
- Pacific Northwest National Laboratory (PNNL)
- Carnegie Mellon University
- West Virginia University
- Princeton University
- Boston University
- University of Texas at Austin
About Computing Sciences at Berkeley Lab
High performance computing plays a critical role in scientific discovery. Researchers increasingly rely on advances in computer science, mathematics, computational science, data science, and large-scale computing and networking to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new foundations, tools, and technologies to meet these needs and to advance research across a broad range of scientific disciplines.
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