Published 2020 | Version v1
Miscellaneous

Ensemble wind simulations using a mesh-refined lattice Boltzmann method on GPU-accelerated systems

  • 1. Japan Atomic Energy Agency (JAEA), Center for Computational Science and e-Systems (CCSE), Kashiwa, Chiba (Japan)

Description

The wind condition and the plume dispersion in urban areas are strongly affected by buildings and plants, which are hardly described in the conventional mesoscale simulations. To resolve this issue, we developed a GPU-based CFD code using a mesh-refined lattice Boltzmann method (LBM), which enables real-time plume dispersion simulations with a resolution of several meters. However, such high resolution simulations are highly turbulent and the time histories of the results are sensitive to various simulations conditions. In order to improve the reliability of such chaotic simulations, we developed an ensemble simulation approach, which enables a statistical estimation of the uncertainty. We examined the developed code against the field experiment JU2003 in Oklahoma City. In the comparison, the wind conditions showed good agreements, and the average values of the tracer gas concentration satisfied the factor 2 agreements between the ensemble simulation data and the experiment. (author)

Part of:
Proceedings of SNA + MC2020: Joint international conference on supercomputing in nuclear applications + Monte Carlo 2020

Additional details

Publishing Information

Imprint Title
Proceedings of SNA + MC2020: Joint international conference on supercomputing in nuclear applications + Monte Carlo 2020
Imprint Pagination
[433 p.]
Journal Page Range
p. 236-242

Conference

Title
Joint international conference on supercomputing in nuclear applications + Monte Carlo 2020
Acronym
SNA+MC 2020
Dates
18-22 May 2020
Place
Chiba (Japan)

Optional Information

Notes
Available as PDF format, Paper ID: SNA09-2.pdf; 7 refs., 3 figs., 1 tab. Imprint:Available as a PDF file, issued by collecting articles only, along with conferring neither in a place nor online, failing to hold on 18-22 May 2020.