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Authors: Justus Anuj 1 ; Adnan Sabovic 1 ; Burcu Celikkol 2 ; Michiel Aernouts 1 ; Philippe Reiter 1 ; Siegfried Mercelis 1 ; Peter Hellinckx 3 and Jeroen Famaey 1

Affiliations: 1 IDLab, University of Antwerp - imec, Sint-Pietersvliet 7, 2000 Antwerp, Belgium ; 2 OnePlanet Research Center, Bronland 10, Wageningen, 6708 WH, Netherlands ; 3 IDLab, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium

Keyword(s): EMU, Energy Management Unit, Energy Awareness, Energy Harvesting, Energy Aware Scheduler, Energy Prediction, Modular.

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 propos ed 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. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - IoTBDS; ISBN 978-989-758-643-9; ISSN 2184-4976, SciTePress, pages 39-50. DOI: 10.5220/0011839500003482

@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 - IoTBDS},
year={2023},
pages={39-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011839500003482},
isbn={978-989-758-643-9},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - An Energy Management Unit for Predictive Solar Energy Harvesting IoT
SN - 978-989-758-643-9
IS - 2184-4976
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