Hussin, Mohamed Saiful Firdaus and Mohd Yassim, Halyani and Zakaria, Azrul Abidin and Jumaidin, Ridhwan and Mansor, Muhd Ridzuan and Mohammad Taha, Mastura (2019) Fully Automatic Solar Powered Oil-Water Separation System For Grease Trap Controlled By Arduino: A Conceptual Design. International Journal of Recent Technology and Engineering, 8 (4). pp. 1266-1271. ISSN 2277-3878
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Abstract
Pipeline clogging in food premises frequently emerges, particularly in small range restaurants. Fat, oil and grease (FOG) disposed from food premises becoming root cause for this issue and pollute drainage system. The aimed of this project was to remove the FOG from wastewater and with automatic oil disposal system using renewable energy. Power input system was improved by designing and developing the solar tracker system for automatic oil disposal grease trap controlled by Arduino and light radiation sensor. The solar tracker was designed based on engineering design methodologies including the survey, house of quality (HOQ), morphological chart and pugh method to ensure the engineering criteria achieved with the concern of customers satisfaction. Light radiation sensor was used to improve the efficiency of solar tracker by detecting the location of sun and Arduino will give a command to the motor based on a signal received from a light radiation sensor. Dual axis solar panel with light radiation sensor gave significant reduction in terms of time consumption used to absorb energy from the sun with average amount of voltage of approximately 1.82 volt compared to fixed solar panel which has average amount of voltage of approximately 1.35 volt. The newly designed dual axis solar tracker also has advantage on flexibility where it can be put at different angle and places.
Item Type: | Article |
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Uncontrolled Keywords: | Oil-water separation, Light radiation sensor, Grease trap, Energy harvesting, Automatic Solar, Grease Trap Controlled, Arduino |
Divisions: | Faculty of Mechanical and Manufacturing Engineering Technology |
Depositing User: | Sabariah Ismail |
Date Deposited: | 21 Oct 2020 12:55 |
Last Modified: | 21 Oct 2020 12:55 |
URI: | http://eprints.utem.edu.my/id/eprint/24311 |
Statistic Details: | View Download Statistic |
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