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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

In this paper, an integrated thermoelectric (TE) and photovoltaic (PV) hybrid energy harvesting system (HEHS) is proposed for self-powered internet of thing (IoT)-enabled wireless sensor networks (WSNs). The proposed system can run at a minimum of 0.8 V input voltage under indoor light illumination of at least 50 lux and a minimum temperature difference, ∆T = 5 °C. At the lowest illumination and temperature difference, the device can deliver 0.14 W of power. At the highest illumination of 200 lux and ∆T = 13 °C, the device can deliver 2.13 W. The developed HEHS can charge a 0.47 F, 5.5 V supercapacitor (SC) up to 4.12 V at the combined input voltage of 3.2 V within 17 s. In the absence of any energy sources, the designed device can back up the complete system for 92 s. The sensors can successfully send 39 data string to the webserver within this time at a two-second data transmission interval. A message queuing telemetry transport (MQTT) based IoT framework with a customised smartphone application ‘MQTT dashboard’ is developed and integrated with an ESP32 Wi-Fi module to transmit, store, and monitor the sensors data over time. This research, therefore, opens up new prospects for self-powered autonomous IoT sensor systems under fluctuating environments and energy harvesting regimes, however, utilising available atmospheric light and thermal energy.

Details

Title
An Adaptive TE-PV Hybrid Energy Harvesting System for Self-Powered IoT Sensor Applications
Author
Mahmuda Khatun Mishu 1   VIAFID ORCID Logo  ; Rokonuzzaman, Md 1   VIAFID ORCID Logo  ; Pasupuleti, Jagadeesh 2 ; Shakeri, Mohammad 2   VIAFID ORCID Logo  ; Rahman, Kazi Sajedur 3   VIAFID ORCID Logo  ; Binzaid, Shuza 4 ; Sieh Kiong Tiong 2 ; Amin, Nowshad 1   VIAFID ORCID Logo 

 Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia; [email protected] (M.K.M.); [email protected] (M.R.); [email protected] (M.S.); [email protected] (S.K.T.); College of Engineering (COE), Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia 
 Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia; [email protected] (M.K.M.); [email protected] (M.R.); [email protected] (M.S.); [email protected] (S.K.T.) 
 Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia; [email protected] 
 Smart Microgrid Advanced Research and Technology (SMART) Center, Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX 77446, USA; [email protected] 
First page
2604
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2550454473
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.