Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Evaluation of methods for modelling daylight and sunlight in high rise Hong Kong residential buildings

Jones, Phillip John, Alexander, Donald Kneale, Marsh, A. and Burnett, J. 2004. Evaluation of methods for modelling daylight and sunlight in high rise Hong Kong residential buildings. Indoor and Built Environment 13 (4) , pp. 249-258. 10.1177/1420326X04045177

Full text not available from this repository.

Abstract

Two alternative modelling approaches, physical scale modelling and numerical simulation, have been applied to the design assessment of daylight and sunlight in, and around, high-density Hong Kong housing. The ability to include both self-shading and site obstructions is crucial to this application area, which severely constrains the methods used for both approaches. While physical scale modelling could assist in estate planning, it was not feasible to study both external and internal spaces at the same model scale, even in a large, advanced facility. Due to the need to include context surroundings, physical scale models in this application would be unlikely to be able to inform design on detailed internal conditions. Numerical simulations could effectively focus on both issues and the data produced could couple to detailed modelling of other aspects, e.g. the calculation of cooling load or peak internal temperatures. Numerical modelling at this level has significant drawbacks, however, including the investment in time and expertise necessary to achieve reliable results, and the requirement for rigorous testing and validation for general acceptance of results.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Architecture
Subjects: D History General and Old World > DS Asia
N Fine Arts > NA Architecture
T Technology > TH Building construction
Uncontrolled Keywords: Daylight; Daylight modelling; Residential; High rise; Urban environmental design
Publisher: SAGE
ISSN: 1420-326X
Last Modified: 04 Jun 2017 03:56
URI: http://orca.cf.ac.uk/id/eprint/29429

Citation Data

Cited 17 times in Google Scholar. View in Google Scholar

Cited 11 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item