
This dissertation, "Two-dimensional computational study on indoor/outdoor air quality relationship in urban buildings" by Kwong-kei, Murphy, Lai,, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled TWO-DIMENSIONAL COMPUTATIONAL STUDY ON INDOOR/OUTDOOR AIR QUALITY RELATIONSHIP IN URBAN BUILDINGS Submitted by Murphy Kwong-kei LAI for the degree of Master of Philosophy at The University of Hong Kong in May 2007 The airflow, pollutant dispersion and penetration of outdoor pollutants to indoor in urban buildings are investigated computationally using a two-dimensional model. Large Eddy Simulations (LES), based on the Smagorinsky subgrid scale (SGS) model is adapted in solving the fundamental governing equations, Artificial Compressibility Method is employed together with the staggered Marker and Cell (MAC) meshing as the basis of discretisation technique. The pressure terms are resolved by using the Poisson Pressure Equation and the filtered scalar transport equation manages the pollutant dispersion. In the studies, pollutants source is located at the datum level of the windward side of the building for the single-building configuration and at the datum level inside the canyon for the two-building configuration. The objective is to study how the outdoor air pollutants penetrate to indoor and to relate this pattern with different building configurations. In the first part of this work, particular focus is dominated on the single building configuration in which the building height (BH), building width (BW) and floor height (FH) are investigated separately and accordin
Page Count:
180
Publication Date:
2017-01-27
Publisher:
BiblioBazaar
ISBN-10:
1374661910
ISBN-13:
9781374661912
No comments yet. Be the first to share your thoughts!