An Energy Management Unit for Predictive Solar Energy Harvesting IoT

Justus Anuj, Adnan Sabovic, Burcu Celikkol, Michiel Aernouts, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx, Jeroen Famaey

2023

Abstract

As the need for stand-alone energy harvesting devices increases, the alleviation of the ecological and economic impact of their production and maintenance is possible by increasing battery life while reducing needed battery capacity. However, the increasing energy requirements of far-edge Artificial Intelligence and long-range wireless transmissions in the Internet of Things threaten to demand ever-larger battery capacities for such remote devices. Dynamic adaptation of device operation based on harvestable energy – i.e., energy awareness – is a proposed solution and can be implemented using an energy management unit. Standardizing this unit as a separate, active electronic component with standardized drivers can simplify overall system development and benefit existing devices. Hence, we propose a novel interface that allows decoupling this unit from the rest of the system, independent of the power management unit in use. As a first step, we developed a prototype that uses the proposed interface to make existing, solar energy-based, third-party devices energy-aware with provisions to be cross-compatible with differing power management units. The prototype was evaluated using an air quality sensing device and improved the overall device’s transmission rate.

Paper Citation

in Harvard Style

Anuj J., Sabovic A., Celikkol B., Aernouts M., Reiter P., Mercelis S., Hellinckx P. and Famaey J. (2023). An Energy Management Unit for Predictive Solar Energy Harvesting IoT. In Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-643-9, SciTePress, pages 39-50. DOI: 10.5220/0011839500003482

in Bibtex Style

@conference{iotbds23,
author={Justus Anuj and Adnan Sabovic and Burcu Celikkol and Michiel Aernouts and Philippe Reiter and Siegfried Mercelis and Peter Hellinckx and Jeroen Famaey},
title={An Energy Management Unit for Predictive Solar Energy Harvesting IoT},
booktitle={Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2023},
pages={39-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011839500003482},
isbn={978-989-758-643-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - An Energy Management Unit for Predictive Solar Energy Harvesting IoT
SN - 978-989-758-643-9
AU - Anuj J.
AU - Sabovic A.
AU - Celikkol B.
AU - Aernouts M.
AU - Reiter P.
AU - Mercelis S.
AU - Hellinckx P.
AU - Famaey J.
PY - 2023
SP - 39
EP - 50
DO - 10.5220/0011839500003482
PB - SciTePress