Bioethanol is a biochemical liquid in the process of fermentation of sugars from carbohydrate sources using the help of microorganisms followed by the distillation process. Bioethanol can be used as a substitute for fuel oil depending on its purity. Bioethanol with 95-99% content can be used as premium substitution (gasoline), while 40% content is used as a substitute for kerosene. Cassava peel obtained from cassava plant products (Manihot esculenta Cranz or Manihot utilissima Pohl) is the main food waste in developing countries. Each kilogram of cassava can usually produce 15-20% of tuber skin. The cassava skin starch content is quite high, allowing it to be used as a source of bioethanol feedstock. In this research, the distillation process to produce bioethanol is carried out by controlling the temperature and pressure in the distillator so that the bioethanol produced can be maintained.
There are two main categories of combustion condition in the car combustion engine chamber, they are complete and incomplete combustion condition. The complete combustion condition is obtained when a balance of fuel, airflow, and ignition in the combustion chamber occurred. It is characterized by the level of elements and compounds contained in the exhaust emissions. The dominant elements and compounds in exhaust emissions of the gasoline-fueled engine are Hydrocarbon (HC), Carbon Monoxide (CO), Carbon Dioxide (CO 2) and Oxygen (O 2). This study aims to establish a system that is capable of identifying the combustion category of automobile engine through exhaust emissions. This emissions data was procured using gas multi-sensor processed by a Fast Fourier Transform (FFT) process and constructed in the form of the data pattern. The identifying process of the combustion category was done by comparing the detected data pattern with a reference data pattern utilizing the Sum Square Error (SSE) method. Trials had been conducted on some gasoline and Pertalite cars for carburetor and injection systems. The trials result showed that the system accuracy in identifying the category of complete combustion was 87% and the incomplete combustion category was 77%.
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