| Issue |
E3S Web Conf.
Volume 473, 2024
The 3rd International Conference on Renewable Energy (I-CORE 2023)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 15 | |
| Section | Renewable Energy and Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202447301009 | |
| Published online | 08 January 2024 | |
Enhancing Measurement Quality of Voltage Divider Circuit and ACS712 DC Current Sensor in PPNS Baruna 01 Crewboat Solar Power Plant
1 Shipbuilding Institute of Polytechnic Surabaya, Department of Marine Engineering, 60111 Road Teknik Kimia Keputih Sukolilo Surabaya, Indonesia
2 Shipbuilding Institute of Polytechnic Surabaya, Department of Marine Electrical Engineering, 60111 Road Teknik Kimia Keputih Sukolilo Surabaya, Indonesia
* Corresponding author: mardisantoso@ppns.ac.id
This research explores the crucial role of precise measurement in enhancing solar power generation efficiency within the maritime context, with a specific focus on the solar power plant aboard the PPNS Baruna 01 Crewboat. It investigates the relationship between light intensity and solar cell voltage output, affirming the direct correlation between sunlight availability and voltage generation. Additionally, the study introduces the application of simple linear regression techniques to improve measurement accuracy, particularly in voltage divider circuits and ACS712 current sensors. Results demonstrate a substantial reduction in measurement errors, from 34.88% to 0.45% for voltage measurement and from 23.71% to 2.69% for current measurement. These advancements hold significant implications for the maritime industry, promoting the adoption of clean and renewable solar energy sources on vessels, potentially reducing reliance on fossil fuels, and contributing to environmental sustainability. Moreover, the research underscores the importance of data analysis in optimizing energy systems and provides a foundation for further developments in renewable energy technology and system optimization.
© 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.
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