STEVE TOOL: A WEB APPLICATION OF SINGAPORE AIR TEMPERATURE PREDICTION MODEL

Steve Kardinal Jusuf and Wong Nyuk Hien

Presented in iNTA-SEGA 2009 - Bridging Innovation, Technology and Tradition, 2-4 December 2009, Bangkok, Thailand

RECEIVED THE BEST PAPER AWARD
ACCEPTED FOR PUBLICATION in Journal of Green Building

ABSTRACT

Empirical models of minimum (Tmin), average (Tavg) and maximum (Tmax) air temperature for Singapore estate have been developed and validated. The independent variables that were used in the models are daily minimum (Ref Tmin), average (Ref Tavg) and maximum (Ref Tmax) temperature at reference point, average of daily solar radiation (SOLAR), percentage of pavement area over R 50m surface area (PAVE), average height to building area ratio (HBDG), total wall surface area (WALL), Green Plot Ratio (GnPR), sky view factor (SVF) and average surface albedo (ALB).

However, these models are far too complicated for educated non-scientists, such as urban planners. At the end, these models are often kept in the shelves until the scientists are engaged to do the assessment.

The Screening Tool for Estate Environment Evaluation (STEVE) was developed with the motivation as mentioned above, which is to bridge between research findings, especially the air temperature prediction models and the urban planners. STEVE is a web application that is specific to an estate and it calculates the Tmin, Tavg and Tmax of the point of interest for the existing condition and future condition (proposed master plan) of the estate. This paper describes the STEVE tool and some examples of its application on a Singapore green estate.

Keywords: STEVE tool, web application, Singapore, air temperature prediction model.