Adaptive Solar Tracking System Using Internet of Things (IoT)
| dc.contributor.author | MOHAMAD ALIFF HAZWAN BIN OSMAN | |
| dc.date.accessioned | 2026-04-13T23:18:14Z | |
| dc.date.issued | 2025 | |
| dc.description | The growing demand for renewable energy necessitates innovative solutions to optimize energy capture and utilization. This project proposes an Adaptive Solar Tracking System Using Internet of Things (IoT) to enhance solar panel efficiency by dynamically adjusting their orientation to maximize sunlight exposure, while also having the capabilities to stay afloat in water. Using a prototyping methodology, the project developed a system integrating IoT-enabled sensors, microcontrollers, and adaptive algorithms. Key components include light-dependent resistors (LDRs), an Arduino Nano 33 IoT board, servo motors, and a ThingSpeak-based cloud platform for real-time monitoring and control. The development process employs the prototyping methodology, which encompasses requirements analysis, quick design, prototype building, user evaluation, and refinement, resulting in a cost-effective and scalable solution. The system demonstrated significant improvements in energy capture compared to fixed solar panels, highlighting its potential to bridge efficiency gaps while addressing environmental and economic challenges. This study contributes to the advancement of sustainable energy solutions, offering insights into the practical application of IoT for renewable energy optimization. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/359 | |
| dc.language.iso | English | |
| dc.publisher | UNIVERSITI MALAYSIA SARAWAK | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.title | Adaptive Solar Tracking System Using Internet of Things (IoT) | |
| dc.type | Final Year Project |