BACKGROUND
The use of computational fluid dynamics (CFD) for indoor and outdoor airflows and related heat and mass transport in the built environment has increased tremendously in the last decades. Despite the increase of computational power, there is a need for faster and more efficient numerical methods than the conventional CFD method, especially for cases with highly transient flow features which would otherwise require the use of the computationally demanding large-eddy simulation (LES) approach. Besides, the accuracy of conventional CFD methods can be limited in some instances and efforts are needed to increase this accuracy efficiently.
AIMS AND SCOPE
The aim of the workshop is to present an overview, the progress, and the advantages and disadvantages of four different non-conventional/traditional numerical approaches to predict airflows, heat and mass transfer in the built environment, namely: (1) fast fluid dynamics (FFD); (2) lattice Boltzmann method (LBM); (3) CFD with data assimilation (CFDA); (4) voxel-based CFD. The presentations will be followed by a discussion on future directions for both academia and practice.
PRESENTATIONS
GPU-based Lattice Boltzmann Method (LBM) for interactive indoor and outdoor flow prediction
Amirul Khan, University of Leeds, Leeds, UK, chair
Prediction of transient particle transport in indoor airflow by integrated fast fluid dynamics (FFD) and Markov chain mode
Wei Liu, KTH Royal Institute of Technology, Sweden, Co-author
Data Assimilated CFD for indoor air quality forecasting: Possibilities and future
Naveed Salman University of Leeds, UK
Voxel based CFD: comparison with conventional CFD for indoor airflows
Eugene Mamulova Eindhoven University of Technology, the Netherland