LAPSE:2023.17245
Published Article

LAPSE:2023.17245
Perovskite PV Energy Harvesting System for Uninterrupted IoT Device Applications
March 6, 2023
Abstract
The performance of perovskite solar cells (PSCs) has been improved throughout the years. These photovoltaic (PV) cells can be used to power Internet of Things (IoT) devices for indoor applications. A perovskite PV energy harvesting system with a stand-by battery that continuously powers an IoT device is developed in this work. The battery is required to complement the PSCs when the latter have difficulties in power delivery during low or no irradiance. The performance of the energy harvesting circuit as well as the battery charge and discharge scenarios are investigated. Voltage matching between the PSC and the battery is achieved by a boost converter. The PSC energy harvesting system uses fractional open-circuit voltage (FOCV) based maximum power point tracking (MPPT), which utilizes a Sample and Hold (S&H) circuit. The FOCV technique is based on a comparison of the perovskite PV open circuit voltages and the maximum power points. For each irradiance level, the maximum power point is unique, and this work uses a light-dependent resistor (LDR) to adjust the scaling constant in MPPT. Case studies include various scenarios under 1000 lux fluorescent light and 1 sun irradiance as well as a consideration of different battery states.
The performance of perovskite solar cells (PSCs) has been improved throughout the years. These photovoltaic (PV) cells can be used to power Internet of Things (IoT) devices for indoor applications. A perovskite PV energy harvesting system with a stand-by battery that continuously powers an IoT device is developed in this work. The battery is required to complement the PSCs when the latter have difficulties in power delivery during low or no irradiance. The performance of the energy harvesting circuit as well as the battery charge and discharge scenarios are investigated. Voltage matching between the PSC and the battery is achieved by a boost converter. The PSC energy harvesting system uses fractional open-circuit voltage (FOCV) based maximum power point tracking (MPPT), which utilizes a Sample and Hold (S&H) circuit. The FOCV technique is based on a comparison of the perovskite PV open circuit voltages and the maximum power points. For each irradiance level, the maximum power point is unique, and this work uses a light-dependent resistor (LDR) to adjust the scaling constant in MPPT. Case studies include various scenarios under 1000 lux fluorescent light and 1 sun irradiance as well as a consideration of different battery states.
Record ID
Keywords
energy harvesting, fractional open-circuit voltage (FOCV), light-dependent resistor (LDR), maximum power point tracking (MPPT), perovskite solar cell (PSC), sample and hold circuit (S&H)
Subject
Suggested Citation
Olzhabay Y, Ng A, Ukaegbu IA. Perovskite PV Energy Harvesting System for Uninterrupted IoT Device Applications. (2023). LAPSE:2023.17245
Author Affiliations
Olzhabay Y: Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr Ave. 53, Nur-Sultan 010000, Kazakhstan [ORCID]
Ng A: Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr Ave. 53, Nur-Sultan 010000, Kazakhstan [ORCID]
Ukaegbu IA: Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr Ave. 53, Nur-Sultan 010000, Kazakhstan [ORCID]
Ng A: Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr Ave. 53, Nur-Sultan 010000, Kazakhstan [ORCID]
Ukaegbu IA: Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr Ave. 53, Nur-Sultan 010000, Kazakhstan [ORCID]
Journal Name
Energies
Volume
14
Issue
23
First Page
7946
Year
2021
Publication Date
2021-11-27
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14237946, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.17245
This Record
External Link

https://doi.org/10.3390/en14237946
Publisher Version
Download
Meta
Record Statistics
Record Views
149
Version History
[v1] (Original Submission)
Mar 6, 2023
Verified by curator on
Mar 6, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.17245
Record Owner
Auto Uploader for LAPSE
Links to Related Works
