Research Database

The ASEAN is currently trying to mitigate the amount of CO2 emissions per country. This is not only to contribute to the worldwide goal of lessening greenhouse gases, but to also ensure the safety of its member states by combatting the effects of climate change. The effects as stated by the IPCC, such as rising water levels, rising ambient temperature, and an increase in the frequency of tropical storms, can greatly endanger members of the ASEAN. It must be noted that a majority of its members are archipelagic, have areas of extreme poverty, and rely on agriculture for production. Therefore, the temporal logarithmic mean Divisia index (LMDI) has been conducted in order to determine the possible drivers that cause the changes in CO2 emissions per year for all ASEAN member countries. The drivers of CO2 were divided into the population, economic activity, energy intensity, and energy structure effects. CO2 emissions per fuel type were calculated using their respective emission factors. Knowing which drivers constitute the most CO2 emissions in a country would help pinpoint which areas could be worked on. It was found that Indonesia, Brunei Darussalam, and Lao PDR had the most impressive decrease in CO2 emissions due to energy intensity and structure effects. A majority of the other countries have either stayed constant or even increased CO2 emission output per year from each effect. Therefore, general policies based on the success of these countries that could be applied for each member country are recommended in this study.

Urban heat island (UHI) can be described as characteristics of warmth for both the atmospheres and surfaces in cities compared to rural surroundings. The attention on UHI has helped to advance the development of urban cooling strategies in Singapore. However, these strategies are often implemented at different levels with different mechanisms, and studies on the environmental implications of these strategies are often segregated. Therefore, understanding on how the urban canopy works is vital to analyse the energy performance, because canopy modelling is significant in estimating urban weather conditions, which affects the heat gain intake for buildings. It is thus become imperative to develop an integrated model for accurate prediction of weather conditions at different scales. By utilizing the Virtual Singapore (VSg) database, this study explores the development an integrated simulation platform, named BESCAM, for climate assessment and district energy demand. It focuses on urban canopy modelling and building energy simulation. The approach is to use CityGML from VSg as input, which comprises converted Building Information Modelling (BIM) buildings. Then, an urban canopy modelling (UCM) is developed to assess the microclimate condition with urban morphology consideration. Afterwards, building energy simulation can be conducted consecutively using EnergyPlus by integrating microclimate and building information. Hence, the BESCAM platform would offer a unique opportunity to architects, engineers, and scientists to use the same source of information, using VSg database, for conducting their own analysis and compare their conclusions.