Issue |
E3S Web Conf.
Volume 359, 2022
The 7th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2022)
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 12 | |
Section | Energy | |
DOI | https://doi.org/10.1051/e3sconf/202235901004 | |
Published online | 31 October 2022 |
Improvement the Capacity of Electrical Energy in Residential Using PV With On-Grid System
1 Department of Electrical Engineering, University of PGRI Semarang, Semarang, Indonesia
2 Department of Mechanical Engineering, University of PGRI Semarang, Semarang, Indonesia.
* Corresponding author: adhikusmantoro@upgris.ac.id
As one of the renewable energy sources, sunlight or solar energy is considered appropriate to be one of the alternative sources of electrical energy that can be used. In this study, an on-grid system simulation model was carried out using PV. The goal is to find out the characteristics of the energy obtained using the control logic algorithm. In this simulation model design, previously calculations were carried out to determine pv capacity, because it will be adjusted to the power capacity used in residential houses. In this discussion, it is in accordance with the electricity needs of residential houses of 1,500 Watts or hourly energy conumsion of 1.5 KWh. This electrical load will be on at 07.00 to 17.00, meaning that this electric load will consume electric power for 10 hours. Then the total energy consumed per day is 1.5 KWh. In this simulation, 2 100 Wp (Watt peak) solar panels with an output voltage of 12 V DC are used. In a day, it can more or less produce electricity of 200 Wp x 10 hours of heating = 2,000 Wh.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.