Characterization of solar panel using capacitive load

This paper presents a laboratory with equipment and an algorithm for teaching graduate students the monitoring and the diagnosis of PV arrays. The contribution is the presentation of an algorithm to detect and localize the fault, in photovoltaic generator when a limited number of voltage sensors are used. AnI-Vcurve tracer using a capacitive load is exploited to measure theI-Vcharacteristics of PV arrays. Such measurement allows characterization of PV arrays on-site, under real operating conditions, and provides also information for the detection of potential array anomalies. ThisI-Vcurve tracer is based on a microcontroller board family called chipKIT Max32 which is a popular platform for physical computing. A user program can be developed visually on a PC side via the graphical user interface (GUI) in Matlab Simulink, where the chipKIT Max32 of Digilent which is a low-cost board is designed for use with the Arduinompid software. The obtained results from the partial shade default showed the effectiveness of the proposed diagnosis method and the good functioning of this board with the Matlab/Simulink environment.

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Synthesis and characterization of Al2O3 and CuO nanoparticles into nanofluids for solar panel applications

Results in Physics ◽

10.1016/j.rinp.2019.102797 ◽

2019 ◽

Vol 15 ◽

pp. 102797 ◽

Cited By ~ 4

Author(s):

Shankar Amalraj ◽

Prawin Angel Michael

Keyword(s):

Cuo Nanoparticles ◽

Solar Panel ◽

Synthesis And Characterization

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Development of Pyroshock Simulator for Shock Propagation Test

Shock and Vibration ◽

10.1155/2018/9753793 ◽

2018 ◽

Vol 2018 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

So-Jeong Lee ◽

Dae-Hyun Hwang ◽

Jae-Hung Han

Keyword(s):

Solar Panel ◽

Electronic Equipment ◽

Propagation Path ◽

Shock Propagation ◽

Bursting Pressure ◽

Structural Members ◽

Experimental Characterization ◽

Propagation Characteristics ◽

Separation Devices

Satellites are subjected to pyrotechnic shocks caused by actuating the pyrotechnic separation devices during various missions such as separation from the launch vehicle and deployment of the solar panel. Pyroshock rarely damages structural members, but it may cause damage to mounted electronic equipment, which can lead to mission failures. In order to protect electronic equipment from pyroshock, shock propagation characteristics need to be identified. This paper proposes a compact pyroshock simulator that can be used to identify the pyroshock propagation characteristics at various locations of a structure. A small resonant fixture and high air pressure are used to make the simulator compact in size. A diaphragm breech design is also introduced to achieve high-bursting pressure and increase the repeatability of the simulator. The developed simulator can produce the pyroshock environment with repeatability in the shock propagation path, and also the pyroshock environment can be changed by using different resonant fixtures. The developed simulator can be used for the experimental characterization of the pyroshock propagation over various structures.

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Energy-efficient characterization of solar panel-supercapacitors systems for energy-harvesting aware wireless sensor nodes

2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications ◽

10.1109/pimrc.2009.5450038 ◽

2009 ◽

Cited By ~ 6

Author(s):

Adriano B. da Cunha ◽

Diogenes C. da Silva

Keyword(s):

Energy Harvesting ◽

Energy Efficient ◽

Solar Panel ◽

Sensor Nodes ◽

Wireless Sensor ◽

Wireless Sensor Nodes

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Capacitive Load-Based Smart OTF for High Power Rated SPV Module

Energies ◽

10.3390/en14030788 ◽

2021 ◽

Vol 14 (3) ◽

pp. 788

Author(s):

Javed Sayyad ◽

Paresh Nasikkar ◽

Abhaya Pal Singh ◽

Stepan Ozana

Keyword(s):

Energy Demand ◽

Cost Effective ◽

Renewable Resource ◽

Test Facility ◽

Raspberry Pi ◽

Resistive Load ◽

Data Logging ◽

Performance Characterization ◽

Capacitive Load

Solar energy is the most promising renewable resource with an unbounded energy source, capable of meeting all human energy requirements. Solar Photovoltaic (SPV) is an effective approach to convert sunlight into electricity, and it has a promising future with consistently rising energy demand. In this work, we propose a smart solution of outdoor performance characterization of the SPV module utilizing a robust, lightweight, portable, and economical Outdoor Test Facility (OTF) with the Internet of Things (IoT) capability. This approach is focused on the capacitive load-based method, which offers improved accuracy and cost-effective data logging using Raspberry Pi and enables the OTF to sweep during the characterization of the SPV module automatically. A demonstration using an experimental setup is also provided in the paper to validate the proposed OTF. This paper further discusses the advantages of using the capacitive load approach over the resistive load approach. IoT’s inherent benefits empower the proposed OTF method on the backgrounds of real-time tracking, data acquisition, and analysis for outdoor output performance characterization by capturing Current–Voltage (I–V) and Power–Voltage (P–V) curves of the SPV module.

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