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Journal ArticleDOI

Defect induced non-ideal dark I–V characteristics of solar cells

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TLDR
In this paper, a unified explanation of non-ideal dark current-voltage (I-V) characteristics of industrial silicon solar cells is presented and detailed investigations on local breakdown sites in industrial solar cells are introduced.
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This article is published in Superlattices and Microstructures.The article was published on 2009-04-01. It has received 75 citations till now. The article focuses on the topics: Theory of solar cells & Breakdown voltage.

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Citations
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Explanation of commonly observed shunt currents in c-Si solar cells by means of recombination statistics beyond the Shockley-Read-Hall approximation

TL;DR: In this article, the authors use a variant of coupled defect level (CDL) recombination, the donor-acceptor-pair (DAP) recombinations, but via deep levels (as opposed to shallow levels).
Journal ArticleDOI

Hotspot diagnosis for solar photovoltaic modules using a Naive Bayes classifier

TL;DR: In this paper, hotspots are detected, evaluated, and categorized uniquely by using a machine learning technique on thermal images of PV modules using a Naive Bayes (nBayes) classifier.
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Intrinsic radiation tolerance of ultra-thin GaAs solar cells

TL;DR: In this article, the authors demonstrate the intrinsic radiation tolerance of an ultra-thin solar cell geometry with absorber layer thickness of 80 and 800 nm and show that the 800 nm cell showed no degradation in Isc for fluences up to 1014 p+ cm−2.
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Analysis of multi-crystalline silicon solar cells at low illumination levels using a modified two-diode model

TL;DR: In this article, the currentvoltage characteristics of multi-crystalline silicon solar cells measured under several low illumination levels are analyzed using a modified two-diode equivalent circuit accounting for an additional ohmic series resistance in the vicinity of grain boundaries.
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A machine learning framework to identify the hotspot in photovoltaic module using infrared thermography

TL;DR: A hybrid features based support vector machine (SVM) model is proposed using infrared thermography technique for hotspots detection and classification of photovoltaic panels using a novel hybrid feature vector consisting of RGB, texture, the histogram of oriented gradient, and local binary pattern as features.
References
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Book

Metal-insulator transitions

Nevill Mott
TL;DR: In this article, a discussion is given of some aspects of the metal insulator transition and the status of the "minimum metallic conductivity" is discussed, and the concept is valid for liquids and in some, but not all, solid systems.
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