Ahmed Kotbi, Ilham Hamdi Alaoui, Bouchaib Hartiti, Mohamed Rafi, Andreas Zeinert, Abderraouf Ridah, Mustapha Jouiad
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引用次数: 0
Abstract
We report on two analytical methods describing the electrical properties of photovoltaic modules. The improved nonlinear five-point model (INFP) and the least squares (LS) method were evaluated in terms of the efficacy in determining the intrinsic parameters of photovoltaic modules based on silicon technology both monocrystalline and polycrystalline. The INFP model, used to replicate the electrical behavior of photovoltaic modules, is generally based on simplified assumptions that provide a practical mathematical framework. We leveraged the advantages of the LS method to better account for diode effects and nonlinear behaviors. To assess the ability of the two methods to adapt to different photovoltaic technologies, we evaluated these methods on two distinct technologies under variable irradiation levels. Our findings were further compared to the manufacturers published data. The least squares method is convenient and fast, but it may lack the precision of more rigorous analytical methods such as the five-point method. Subsequently, both INFP and LS models were applied to our processed solar cell based on n-SnS2/p-Si and perovskite, which showed their capabilities to extract intrinsic parameters towards small thin-film cells with low photovoltaic efficiency.
期刊介绍:
Optical and Quantum Electronics provides an international forum for the publication of original research papers, tutorial reviews and letters in such fields as optical physics, optical engineering and optoelectronics. Special issues are published on topics of current interest.
Optical and Quantum Electronics is published monthly. It is concerned with the technology and physics of optical systems, components and devices, i.e., with topics such as: optical fibres; semiconductor lasers and LEDs; light detection and imaging devices; nanophotonics; photonic integration and optoelectronic integrated circuits; silicon photonics; displays; optical communications from devices to systems; materials for photonics (e.g. semiconductors, glasses, graphene); the physics and simulation of optical devices and systems; nanotechnologies in photonics (including engineered nano-structures such as photonic crystals, sub-wavelength photonic structures, metamaterials, and plasmonics); advanced quantum and optoelectronic applications (e.g. quantum computing, memory and communications, quantum sensing and quantum dots); photonic sensors and bio-sensors; Terahertz phenomena; non-linear optics and ultrafast phenomena; green photonics.