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Experimental Investigations towards the Design of Power Management System Using Indoor Photovoltaic

  • Anna Merine George*
  • , Ciji Pearl Kurian
  • , S. Y. Kulkarni
  • , K. N. Veena
  • , V. I. George
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023
EditorsJagadish Nayak, Vilas H Gaidhane, Nilesh Goel
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages683-688
Number of pages6
ISBN (Electronic)9798350393415
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023 - Dubai, United Arab Emirates
Duration: 07-12-202309-12-2023

Publication series

NameProceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023

Conference

Conference2023 IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023
Country/TerritoryUnited Arab Emirates
CityDubai
Period07-12-2309-12-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    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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