scholarly journals Perovskite PV Energy Harvesting System for Uninterrupted IoT Device Applications

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7946
Author(s):  
Yerassyl Olzhabay ◽  
Annie Ng ◽  
Ikechi A. Ukaegbu
Keyword(s):  
Energy Harvesting ◽  
Perovskite Solar Cells ◽  
Open Circuit ◽  
Maximum Power ◽  
Fluorescent Light ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Energy Harvesting System ◽  
Iot Devices ◽  
Power Point

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.

Maximum Power Point Tracking for the Micro-Scale Photovoltaic Power System

2015 ◽  
Vol 734 ◽  
pp. 771-774 ◽  
Author(s):  
Lei Han ◽  
Xia Wang ◽  
Guang Wei Wang
Keyword(s):  
Maximum Power Point Tracking ◽  
Open Circuit ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Micro Scale ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Energy Harvesting ◽  
Energy Harvesting System ◽  
Power Point

In this paper, we give a comprehensive consideration on the maximum power point tracking (MPPT) algorithm for micro-scale solar energy harvesting system. Basing on the comparison analysis the MPPT algorithm of fractional open circuit voltage (FOCV) is certificated to be the simplest method among all the algorithms focus on small size photovoltaic devices. As a validation, an example is given to demonstrate the effectiveness of the proposed idea.

A Low-Power Photovoltaic Maximum Power Point Tracking Circuit for WSNs

2013 ◽  
Vol 562-565 ◽  
pp. 1045-1051
Author(s):  
Gao Fei Zhang ◽  
Rui Ma ◽  
Zheng You ◽  
Zi Chen Zhang
Keyword(s):  
Energy Harvesting ◽  
Low Cost ◽  
Maximum Power Point Tracking ◽  
Open Circuit ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Energy Limitation ◽  
Power Point

Currently, most wireless sensor networks (WSNs) are powered by batteries. When energy stored in batteries is exhausted, the life of the WSNs goes to the end. The concept of energy harvesting provides a practical solution to the problem of the energy limitation. In this article, the feasibility and performance of a simple and low-cost analog solar energy harvesting circuit with the function of maximum power point tracking (MPPT) are investigated. The technique provided is based on the approximately linear relationship between the maximum power point (MPP) voltage and the open-circuit voltage of a solar panel under different irradiation levels. Several experiments have been carried out regarding the accuracy and efficiency of MPPT as well as the working process of the circuit. Results show that the maximum power point with different loads can be effectively tracked by the self-powered MPPT circuit, and in the meantime, a stable output voltage can be generated. The efficiency of energy conversion is guaranteed by a commercial off-the-shelf DC-DC chip. The detailed description of the circuit design and the comprehensive analysis of the circuit performance will provide a useful guide for the future applications.

scholarly journals Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions

2021 ◽  
Vol 03 (01) ◽  
pp. 53-62
Author(s):  
Mohammed Salah Bouakkaz ◽  
◽  
Ahcene Boukadoum ◽  
Omar Boudebbouz ◽  
Issam Attoui ◽  
...  
Keyword(s):  
Short Circuit ◽  
Maximum Power Point Tracking ◽  
Open Circuit ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Hill Climbing ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In this work, a survey is carried out on six MPPT algorithms which include conventional and artificial intelligence based approaches. Maximum Power Point Tracking (MPPT) algorithms are used in PV systems to extract the maximum power in varying climatic conditions. The following most popular MPPT techniques are being reviewed and studied: Hill Climbing (HC), Perturb and Observe (P&O), Incremental Conductance (INC), Open-Circuit Voltage (OCV), Short Circuit Current (SCC), and Fuzzy Logic Control (FLC). The algorithms are evaluated, analyzed, and interpreted using a Matlab-Simulink environment to show the performance and limitations of each algorithm

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