Abstract
With the increasing popularity of Internet-of-Things (IoT) based building automation and lighting controls in the interior, the power management of IoT devices is a concern. Researchers globally are working on Indoor high-performance photovoltaics, which can power IoT devices. Here arises the need for experimentation with Indoor Photovoltaics (IPV) under varying interior lighting conditions that includes both artificial light and daylight. This paper focuses on experimental verification of the IPV characterization under indoor lighting conditions, adopting the recent human-centric lighting challenges. The paper presents empirical modeling of indoor irradiance and Photovoltaic cells to estimate its I-V characteristics and focuses on their operation at indoor illumination levels. A crucial requirement for accomplishing self-sustainability is the ability of IoT devices to be self-powered.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023 |
| Editors | Jagadish Nayak, Vilas H Gaidhane, Nilesh Goel |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 683-688 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350393415 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023 - Dubai, United Arab Emirates Duration: 07-12-2023 → 09-12-2023 |
Publication series
| Name | Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023 |
|---|
Conference
| Conference | 2023 IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023 |
|---|---|
| Country/Territory | United Arab Emirates |
| City | Dubai |
| Period | 07-12-23 → 09-12-23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Hardware and Architecture
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Modelling and Simulation
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