Development of an organic photovoltaic energy harvesting system for wireless sensor networks; application to autonomous building information management systems and optimisation of OPV module sizes for future applications

Zhang, S., Bristow, N., David, T., Elliott, F., O'Mahony, J. and Kettle, J. (2022) Development of an organic photovoltaic energy harvesting system for wireless sensor networks; application to autonomous building information management systems and optimisation of OPV module sizes for future applications. Solar Energy Materials and Solar Cells, 236, 111550. (doi: 10.1016/j.solmat.2021.111550)

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Abstract

The emergence of internet of things (IoT) has motivated research into developing Organic Photovoltaic (OPV) devices that can efficiently convert indoor light into electricity. In this work, the performance and operation of an OPV-powered Wireless Sensor network (WSN) for Building Information management system is provided through a case study. Results are shown for the operation of the WSN and how data can be acquired to build machine learning algorithms that can forecast the indoor conditions of a building, when the system is linked to an external weather station. Remarkably, our data indicates only minor degradation of the OPV when tested under indoor conditions over a 21-month period; at a luminance level of 1000 Lux, only a −10% relative drop in performance was measured. Finally, the field data is used to optimise the size of the OPV and battery for future indoor applications which possess different energy loads. Based on the energy efficiency model, the loss of power supply probability (LPSP) of the indoor applications system is calculated for different size combinations of PV, battery sizes and load energies. This model provides a method to calculate the required OPV output power to ensure remote operation of other IoT electronics.

Item Type:Articles
Additional Information:Fergus Elliot gratefully acknowledge the financial support provided by the Knowledge Economy Skills Scholarships (KESS 2). JK would like to acknowledge the support of the University of Glasgow’s EPSRC IAA grant (EP/R511705/1).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kettle, Dr Jeff
Authors: Zhang, S., Bristow, N., David, T., Elliott, F., O'Mahony, J., and Kettle, J.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Solar Energy Materials and Solar Cells
Publisher:Elsevier
ISSN:0927-0248
ISSN (Online):1879-3398
Published Online:17 December 2021
Copyright Holders:Copyright © 2021 Elsevier B.V.
First Published:First published in Solar Energy Materials and Solar Cells 236: 111550
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304896EPSRC-IAA: Early Stage Commercialisation of a PET Imaging Agent for the Detection of Cardiovascular Disease and CancerAndrew SutherlandEngineering and Physical Sciences Research Council (EPSRC)EP/R511705/1Chemistry