High-Performance Computing and Its Applications in Climate and Energy
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 449
Special Issue Editors
Interests: massively parallel computing; climate modeling; linear solvers and preconditioners
Special Issue Information
Dear Colleagues,
Computational modeling of renewable energy systems spans an immense range of scales. Modeling wake vortex formation over wind turbine blades requires millimeter resolution on the blade surfaces up to meters or kilometers in the atmospheric boundary layer. These models require ambient atmospheric boundary conditions provided by weather models. Placement of wind farms depends on regional and global climate models. Interfacing of renewable energy sources to electrical grids requires constrained optimization of very large systems, possibly with uncertainty. All these problems present computational challenges requiring Peta and Exa-scale computational resources. With the advent of GPU accelerated computing, the modeling and software challenges are daunting.
We invite computational scientists, and renewable energy researchers along with weather and climate modelers to submit their research in these areas. In addition, artificial intelligence and machine learning are playing a central role in the advancement of these disciplines and we invite cross-disciplinary papers that apply AI/ML to weather, climate and renewable energy modeling.
Dr. Stephen Thomas
Dr. Kasia Swirydowicz
Guest Editors
Manuscript Submission Information
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Keywords
- renewable energy modeling across scales
- extreme weather
- regional climate
- grid optimization
- computational fluid mechanics for wind turbines
- energy efficiency
- exa-scale computing
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