Picture of neon light reading 'Open'

Discover open research at Strathprints as part of International Open Access Week!

23-29 October 2017 is International Open Access Week. The Strathprints institutional repository is a digital archive of Open Access research outputs, all produced by University of Strathclyde researchers.

Explore recent world leading Open Access research content this Open Access Week from across Strathclyde's many research active faculties: Engineering, Science, Humanities, Arts & Social Sciences and Strathclyde Business School.

Explore all Strathclyde Open Access research outputs...

The influence of space discretization on the accuracy of numerical simulation of heat and moisture transport in porous building materials

Galbraith, G.H. and Li, J. and McLean, R.C. and Baker, P.H. (2001) The influence of space discretization on the accuracy of numerical simulation of heat and moisture transport in porous building materials. Journal of Thermal Envelope and Building Science, 25 (2). pp. 143-160. ISSN 1097-1963

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

It is well recognised that the accuracy of numerical solutions for coupled heat and moisture transport problems are highly dependent upon the space discretization regime adopted. While a range of possible space discretization methods are outlined in the literature, most of the commonly available simulation models for heat and moisture transfer through building constructions adopt the one-way expansion method. As part of the process of developing a new simulation model based on the Control Volume technique, the Authors have conducted a range of computer simulations to study the influence of space discretization on modelling results. Comparisons between different space discretization methods are presented which show that the two-way expansion method generally produces the best solution. This method has now been adopted by the Authors and has the advantage of avoiding the need to use extremely fine grids even when modelling complex building structures.