Post-processing technique enhancement for computational fluid dynamics based air ventilation assessment

Abstract

In 2006, the Hong Kong government adopted the Air Ventilation Assessment (AVA) for major development projects. It aims to provide a better guideline for policymakers and urban planners to enhance the urban environment and the air quality. AVA has a detailed standard for its required studies, but we propose that the current requirement can lead to ambiguity, particularly in the wind speed ratio test point selection method. To minimize the ambiguity and facilitate better urban planning decisions, we further propose a more robust test point selection and optimization method. Our new proposed method was evaluated with the current AVA approach. It is concluded that our method is more robust and has better accuracy.

Date of Award	2022
Original language	English
Awarding Institution	The Hong Kong University of Science and Technology
Supervisor	Jimmy Chi Hung FUNG (Supervisor) & Alexis Kai Hon LAU (Supervisor)