THE APPLICATION OF PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD TO DETERMINE THE INFLUENCE OF METAL COMPOSITION VALUE TOWARDS THE YIELD OF LIQUID PRODUCT OBTAINED VIA PYROLYSIS OF BASIC METAL SOAP
Burning fossil fuels causes greenhouse effects that are harmful to the environment. Meanwhile, renewable fuels are one of the solutions since the combustion process produces carbon neutrality. One type of renewable fuels is green gasoline which can be produced via pyrolysis of basic metal soaps of o...
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| Format: | Final Project |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/56195 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Burning fossil fuels causes greenhouse effects that are harmful to the environment. Meanwhile, renewable fuels are one of the solutions since the combustion process produces carbon neutrality. One type of renewable fuels is green gasoline which can be produced via pyrolysis of basic metal soaps of oleic acid and metal hydroxide. Puspawiningtiyas (2020) conducted an experiment using zinc (Zn), magnesium (Mg), and calcium (Ca) metals, with chemical formula Zn(OOC(C18H34O2))2.?Ca(OH)2.(1??)Mg(OH)2, and C7-C19 hydrocarbon fraction in the liquid product are obtained. The target is to obtain liquid product that contains dominant C7-C11 hydrocarbon fraction. The data of experiment cannot directly express the correlation between metal hydroxide composition and liquid product obtained via pyrolysis of basic metal soap. Therefore, this research applies the principal component analysis method (PCA) to analyse and tell the correlation between multivariate data mathematically. The result shows that the PCA model created could describe the correlation between metal composition value and the yield of liquid product, but only to the variables that have significant influences to the whole data. Moreover, this model could also differentiate which variables are truly important, shows data distribution map, and help to process multivariate data. Unfortunately, it can only analyse data mathematically so as in order to perceive qualitative analysis such as chemical reaction mechanisms, further personal analysis needs to be done.
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