LAPSE:2023.14885
Published Article
LAPSE:2023.14885
Development of a Self-Sufficient LoRaWAN Sensor Node with Flexible and Glass Dye-Sensitized Solar Cell Modules Harvesting Energy from Diffuse Low-Intensity Solar Radiation
March 2, 2023
Abstract
This paper aims to demonstrate the viability of energy harvesting for wide area wireless sensing systems based on dye-sensitized solar cells (DSSCs) under diffuse sunlight conditions, proving the feasibility of deploying autonomous sensor nodes even under unfavorable outdoor scenarios, such as during cloudy days, in the proximity of tall buildings, among the trees in a forest and during winter days in general. A flexible thin-film module and a glass thin-film module, both featuring an area smaller than an A4 sheet of paper, were initially characterized in diffuse solar light. Afterward, the protype sensor nodes were tested in a laboratory in two different working conditions, emulating outdoor sunlight in unfavorable lighting and weather to reconstruct a worst-case scenario. A Li-Po battery was employed as a power reserve for a long-range wide area network (LoRaWAN)-based sensor node that transmitted data every 8 h and every hour. To this end, an RFM95x LoRa module was used, while the node energy management was attained by exploiting a nano-power boost charger buck converter integrated circuit conceived for the nano-power harvesting from the light source and the managing of the battery charge and protection. A positive charge balance was demonstrated by monitoring the battery trend along two series of 6 and 9 days, thus allowing us to affirm that the system’s permanent energy self-sufficiency was guaranteed even in the worst-case lighting and weather scenario.
Keywords
DSSC solar cells, energy harvesting, IoT, LoRaWAN, photovoltaic
Suggested Citation
Bruzzi M, Cappelli I, Fort A, Pozzebon A, Vignoli V. Development of a Self-Sufficient LoRaWAN Sensor Node with Flexible and Glass Dye-Sensitized Solar Cell Modules Harvesting Energy from Diffuse Low-Intensity Solar Radiation. (2023). LAPSE:2023.14885
Author Affiliations
Bruzzi M: Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy [ORCID]
Cappelli I: Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy [ORCID]
Fort A: Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy [ORCID]
Pozzebon A: Department of Information Engineering, University of Padova, 35131 Padova, Italy [ORCID]
Vignoli V: Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy [ORCID]
Journal Name
Energies
Volume
15
Issue
5
First Page
1635
Year
2022
Publication Date
2022-02-22
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15051635, Publication Type: Journal Article
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LAPSE:2023.14885
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https://doi.org/10.3390/en15051635
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Mar 2, 2023
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