A Preliminary Study of Decision Support Model of Photovoltaic for Village Area in South of Sumatera

ermatita, ermatita (2022) A Preliminary Study of Decision Support Model of Photovoltaic for Village Area in South of Sumatera. In: 2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), 20 January 2023, Jakarta.

Text Lucky Indra Kesuma ICIMCIS 2022 (2).pdf Download (3MB)

Abstract

Indonesia has a very high potential for solar energy irradiation, including in 66 countries in the sunbelt area. This can be alternative for power generation system that converts energy sources from solar radiation into electricity through solar cells or photovoltaic cells. This research goal is to develop an initial decision support model for the photovoltaic village area in South Sumatra, Indonesia. This research was conducted six months in Pandan Arang Village, Kandis District, Ogan Ilir Regency, South Sumatra. As the result, the proposed model is consisted of four sub-system, including photovoltaic system, data logger, database management and decision support system. Based on the results of experiments on solar panels with the parameters of current, voltage and light intensity, the highest value of light intensity was 1989.1 W/m2, while the voltage and current of 15.49V and current of 14.91 A were displayed through a 16x2 LCD display which served as information display in real time. The expected result in this study is an alternative fault detection PV system in the form of normal conditions, shadows, and overloads.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Chest X-Ray images, Image Quality Enchancement, Median Filter, Gaussian Filter
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Dr Ermatita zuhairi
Date Deposited:	30 Mar 2023 21:44
Last Modified:	30 Mar 2023 21:44
URI:	http://repository.unsri.ac.id/id/eprint/92073

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