Due to the global warming, people need to reduce the usage of the energy. In the same time, the buildings development on the earth is also increase. From past researches, it is found that the building energy consumption is highly contributed in global warming. In this research, the main concern is in the tropical area office buildings, especially in Singapore. Singapore uses the energy consumption index (ETTV) in order to measure how good the performance of the buildings facade. Moreover, it is observed from past research that the energy consumption has a high relationship with indoor thermal comfort. Because ETTV has already developed and it is very important to enhance the performance of buildings facade so that in this research it is developed the function to control indoor thermal comfort.

Indoor thermal comfort, it is known as Predicted Mean Value (PMV), is influenced by buildings facade material. Then, IEQx is the software used to calculate PMV. Firstly, it will calculated the heat gain from all factors (building facades, activity of occupants and environment), then by using linear regression analysis, the PMV function will be generated. After that, by comparing the result to the IEQx software, the validation of the approximation function will be investigated.

The result shows that by using PMV function, the result will be similar to by using IEQx. The validation shows that the function can get small error, which is lower than 10%. However, due to the limitation of this research and data availability, the approximation function will be applicable only in Singapore.

Due to the global warming, people need to reduce the usage of the energy. In the same time, the buildings development on the earth is also increase. From past researches, it is found that the building energy consumption is highly contributed in global warming. In this research, the main concern is in the tropical area office buildings, especially in Singapore. Singapore uses the energy consumption index (ETTV) in order to measure how good the performance of the buildings facade. Moreover, it is observed from past research that the energy consumption has a high relationship with indoor thermal comfort. Because ETTV has already developed and it is very important to enhance the performance of buildings facade so that in this research it is developed the function to control indoor thermal comfort.

Indoor thermal comfort, it is known as Predicted Mean Value (PMV), is influenced by buildings facade material. Then, IEQx is the software used to calculate PMV. Firstly, it will calculated the heat gain from all factors (building facades, activity of occupants and environment), then by using linear regression analysis, the PMV function will be generated. After that, by comparing the result to the IEQx software, the validation of the approximation function will be investigated.

The result shows that by using PMV function, the result will be similar to by using IEQx. The validation shows that the function can get small error, which is lower than 10%. However, due to the limitation of this research and data availability, the approximation function will be applicable only in Singapore.

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