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Annual Report: Carbon Capture Simulation Initiative

Technical Report ·
DOI:https://doi.org/10.2172/1098237· OSTI ID:1098237
 [1];  [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [4];  [3];  [4];  [9];  [9];  [11]
  1. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
  2. URS Corporation. (URS), San Francisco, CA (United States); National Energy Technology Lab. (NETL), Morgantown, WV (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  5. Princeton Univ., NJ (United States)
  6. Carnegie Mellon Univ., Pittsburgh, PA (United States); National Energy Technology Lab. (NETL), Morgantown, WV (United States)
  7. National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
  8. West Virginia Univ., Morgantown, WV (United States); National Energy Technology Lab. (NETL), Morgantown, WV (United States)
  9. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  10. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  11. SynPatEco. Pleasant Hill, CA (United States)
The Carbon Capture Simulation Initiative (CCSI) is a partnership among national laboratories, industry and academic institutions that is developing and deploying state-of-the-art computational modeling and simulation tools to accelerate the commercialization of carbon capture technologies from discovery to development, demonstration, and ultimately the widespread deployment to hundreds of power plants. The CCSI Toolset will provide end users in industry with a comprehensive, integrated suite of scientifically validated models, with uncertainty quantification (UQ), optimization, risk analysis and decision making capabilities. The CCSI Toolset incorporates commercial and open-source software currently in use by industry and is also developing new software tools as necessary to fill technology gaps identified during execution of the project. Ultimately, the CCSI Toolset will (1) enable promising concepts to be more quickly identified through rapid computational screening of devices and processes; (2) reduce the time to design and troubleshoot new devices and processes; (3) quantify the technical risk in taking technology from laboratory-scale to commercial-scale; and (4) stabilize deployment costs more quickly by replacing some of the physical operational tests with virtual power plant simulations.
Research Organization:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE)
OSTI ID:
1098237
Report Number(s):
NETL-PUB--820
Country of Publication:
United States
Language:
English

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