Issue |
E3S Web Conf.
Volume 530, 2024
2024 14th International Conference on Future Environment and Energy (ICFEE 2024)
|
|
---|---|---|
Article Number | 05001 | |
Number of page(s) | 8 | |
Section | Clean Energy Technology and Building Energy Management | |
DOI | https://doi.org/10.1051/e3sconf/202453005001 | |
Published online | 29 May 2024 |
Simulation of Photovoltaic Water Pumping System in Sam Ratulangi University
Faculty of Engineering, University of Sam Ratulangi, Manado, Indonesia
* Corresponding author: meitarumbayan@unsrat.ac.id
The purpose of this study is to design and simulate a PV water pumping system at Sam Ratulangi University in Indonesia. The methods employed in this study consist of a literature review, design, and simulation using HOMER (Hybrid Optimization of Multiple Energy Resources) software. The comparison between PV water pumps and dieselpowered water pumps is analysed in terms of net present cost, cost of energy (COE), and emissions to meet the water requirements in the laboratory. The simulation results are based on two design scenarios for a solar photovoltaic water pumping system at a laboratory scale. In Scenario 1, the system has a daily load of 1.5 kWh/day, 0.52 kW PV modules, 4 batteries of 80 Ah each, and a 1 kW inverter. In Scenario 2, the system has a daily pump load of 2.5 kWh/day, 0.87 kW PV modules, 4 batteries of 80 Ah each, and a 1 kW inverter. The results indicate that the utilization of solar energy to power a PV water pumping system performs well and serves as a case study showcasing the use of solar energy. Further studies on the application of PV water pump should be implemented and tested to evaluate the system’s performance.
© The Authors, published by EDP Sciences, 2024
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.