Proceedings of MATSUS Fall 2023 Conference (MATSUSFall23)
DOI: https://doi.org/10.29363/nanoge.matsus.2023.278
Publication date: 18th July 2023
The rapid growth of the Internet of Things (IoT) has created a demand for energy-efficient, autonomous devices capable of operating over extended periods. Indoor photovoltaic (PV) systems offer a promising solution to power such IoT devices, providing a sustainable and renewable energy source. However, accurate evaluation of the performance of indoor PV systems in real-world conditions is essential to optimize their design and ensure reliable long-term operation.
We have conducted a comprehensive study on the in-situ evaluation of indoor PV performance for autonomous, long-range IoT applications. The objective is to assess the feasibility and effectiveness of indoor PV systems as a reliable power source for IoT devices, considering the unique challenges posed by indoor environments.
The study employs a practical approach, involving the deployment of a prototype indoor PV system in a real-world setting. The system is designed to capture and convert ambient light into electrical energy, which is then utilized to power an array of autonomous, long-range IoT devices. By measuring and analyzing the system's performance metrics, including power generation, energy storage, and device autonomy, we gain valuable insights into the capabilities and limitations of indoor PV systems.
To ensure accurate evaluation, the study also investigates the impact of different indoor lighting conditions on the PV system's performance. This includes analyzing the effects of artificial lighting sources, variations in light spectra, and dynamic light levels encountered in typical indoor environments. The data collected is used to develop predictive models and optimization algorithms that enable efficient energy harvesting and utilization.
The findings from this research contribute to the understanding of indoor PV system performance, enabling the design and implementation of sustainable, autonomous IoT solutions. By evaluating the system's energy generation, storage, and usage in real-world conditions.
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