Issue |
E3S Web Conf.
Volume 473, 2024
The 3rd International Conference on Renewable Energy (I-CORE 2023)
|
|
---|---|---|
Article Number | 01011 | |
Number of page(s) | 11 | |
Section | Renewable Energy and Technology | |
DOI | https://doi.org/10.1051/e3sconf/202447301011 | |
Published online | 08 January 2024 |
Design and Development of a Micro Inverter Power Monitoring System to Enhance Photovoltaic System Performance by Integrating LoRaWAN and IoT
Electrical Engineering Department, State Polytechnic of Malang, Malang, Indonesia
* Corresponding author: elgaarisprastyo@gmail.com
This research examines the significance of utilizing Photovoltaic Solar Power Systems (PVSPS) with Micro Inverters and Internet of Things (IoT) technology, particularly LoRaWAN, in addressing challenges related to efficiency and power management. PVSPS has emerged as a leading solution to tackle the increasing global energy consumption and the adverse effects of greenhouse gas emissions. The rapid growth of the PVSPS industry underscores its relevance. This study explores the impact of shading on solar panels connected in series and parallel configurations, emphasizing the importance of proper placement. The results indicate that shading significantly reduces energy production, especially in panels connected in series. Micro Inverters play a crucial role in maintaining stable output voltage, even under shading conditions. However, attention must be paid to their influence on output current. Efficient monitoring and management of PVSPS through IoT technology such as LoRaWAN are key in supporting the transition to sustainable energy. This data underscores the importance of continuous monitoring to identify issues and optimize PVSPS performance, in the face of environmental challenges and climate change.
© 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.