Navigation auf zora.uzh.ch

Search

ZORA (Zurich Open Repository and Archive)

Computational science for energy research

Abgrall, Rémi; Koren, Barry (2017). Computational science for energy research. Journal of Computational Physics, 345:A1.

Abstract

Computational science complements theory and experiments. It can deliver knowledge and understanding in application areas where the latter two can not. Computational science is particularly important for the simulation of various energy-related processes, ranging from classical energy processes as combustion and subsurface oil-reservoir flows to more modern processes as wind-farm aerodynamics, photovoltaics and – very challenging from a computational perspective – tokamak-plasma physics.
The current special issue finds its origin in the Second Frontiers in Computational Physics Conference, centered around the theme energy, and held 3–5 June 2015 in Zürich, Switzerland. The conference provided a forum for exchanging knowledge and expertise on advanced computational methods for the computer simulation of various energy processes.
We hope that the resulting special issue will prove to be informative and useful for researchers interested in computational science for energy research.
We thank all people who have helped us in preparing this special issue: the reviewers, the technical editors of the Journal of Computational Physics, and most of all the authors.

Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:510 Mathematics
Scopus Subject Areas:Physical Sciences > Numerical Analysis
Physical Sciences > Modeling and Simulation
Physical Sciences > Physics and Astronomy (miscellaneous)
Physical Sciences > General Physics and Astronomy
Physical Sciences > Computer Science Applications
Physical Sciences > Computational Mathematics
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:Physics and Astronomy (miscellaneous), Computer Science Applications
Language:English
Date:15 September 2017
Deposited On:10 Oct 2017 13:49
Last Modified:17 Sep 2024 01:36
Publisher:Elsevier
ISSN:0021-9991
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.jcp.2017.06.010

Metadata Export

Statistics

Citations

Altmetrics

Downloads

0 downloads since deposited on 10 Oct 2017
0 downloads since 12 months

Authors, Affiliations, Collaborations

Similar Publications