UTILIZING HIGH PERFORMANCE SUPERCOMPUTING FACILITIES FOR INTERACTIVE THERMAL COMFORT ASSESSMENT
We outline the current state of the development of a computational steering environment (CSE) for the interactive simulation and local assessment of indoor thermal comfort. The system consists of a parallel CFD kernel, a fast 3D mesh generator and a virtual reality-based visualization component. The numeri-cal method is based on a lattice Boltzmann algorithm with extensions for simulations of turbulent convec-tive flows. Utilizing high-performance supercompu-ting facilities, the CSE allows for modifying both the geometric model and the boundary conditions during runtime coupled with the immediate update of results. This is made possible by a space-tree based partitioning algorithm that facilitates the meshing of arbitrarily shaped, complex facet models in a matter of just a few seconds computing time. Ongoing developments focus on the integration of a radiation solver, a human thermoregulation model and a local thermal comfort model. Our first step was therefore to develop a prototype for computing resultant surface temperatures mapped for the surface of a numerical manikin. Results are compared with measurement data.
Thermal comfort CFD Computational Steering Lattice Boltzmann Virtual Reality High-Performance Computing
Christoph van Treeck Petra Wenisch Andre Borrmann Michael Pfaffinger Nikola Cenic Ernst Rank
Computational Civil and Environmental Engineering, Technische Universit(a)t München, Arcisstr.21, 80290 München, Germany
国际会议
北京
英文
2007-09-03（万方平台首次上网日期，不代表论文的发表时间）