Exascale for Energy: The Role of Exascale Computing in Energy Security
How will the United States satisfy energy demand in a tightening global energy marketplace while, at the same time, reducing greenhouse gas emissions? Exascale computing -- expected to be available within the next eight to ten years ? may play a crucial role in answering that question by enabling a paradigm shift from test-based to science-based design and engineering. Computational modeling of complete power generation systems and engines, based on scientific first principles, will accelerate the improvement of existing energy technologies and the development of new transformational technologies by pre-selecting the designs most likely to be successful for experimental validation, rather than relying on trial and error. The predictive understanding of complex engineered systems made possible by computational modeling will also reduce the construction and operations costs, optimize performance, and improve safety. Exascale computing will make possible fundamentally new approaches to quantifying the uncertainty of safety and performance engineering. This report discusses potential contributions of exa-scale modeling in four areas of energy production and distribution: nuclear power, combustion, the electrical grid, and renewable sources of energy, which include hydrogen fuel, bioenergy conversion, photovoltaic solar energy, and wind turbines. Examples of current research are taken from projects funded by the U.S. Department of Energy (DOE) Office of Science at universities and national laboratories, with a special focus on research conducted at Lawrence Berkeley National Laboratory.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- Computing Sciences Directorate
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 988989
- Report Number(s):
- LBNL-3940E; TRN: US1007030
- Country of Publication:
- United States
- Language:
- English
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COMBUSTION
CONSTRUCTION
DESIGN
DISTRIBUTION
ENERGY DEMAND
ENGINES
GREENHOUSE GASES
HYDROGEN FUELS
NUCLEAR POWER
PERFORMANCE
POWER GENERATION
PRODUCTION
SAFETY
SECURITY
SOLAR ENERGY
VALIDATION
WIND TURBINES
energy security
exascale computing
computational modeling
power generation
nuclear power
combustion
electrical grid
alternative energy
renewable
hydrogen fuel
bioenergy
solar energy
wind energy
thermoelectric
carbon capture
sequestration