Toward Class AAA LED Large Scale Solar Simulator With Active Cooling System for PV Module Tests

Esen, Vedat; Sağlam, Şafak; Oral, Bülent; Esen, Özge Ceylan

doi:10.1109/jphotov.2021.3117912

Cited by 9 publications

(12 citation statements)

References 22 publications

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“…Therefore, emphasis is placed on the analysis of recent literature reviews [52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68]. In addition, the literature is complemented with standards [69][70][71], selected papers [72][73][74][75][76], and reports [77].…”

Section: Photovoltaic (Pv) Systemsmentioning

confidence: 99%

“…Additional testing procedures with demanding requirements for result analysis are described in the literature such as I-V curvebased approaches to study PV system performance from its I-V characteristic [53,57,73,74]. Other investigations use infrared thermography to detect hot spots in PV systems [56,62,64,69].…”

Section: Fault Diagnosis and Condition Assessment Of Pv Systemsmentioning

confidence: 99%

“…In addition, [54,66] analyze not only electrical faults, but also physical, e.g., damage, cracks, and deterioration in PV panels, and environmental faults, e.g., temporary, and permanent partial shading. As an alternative to detailed modeling and simulation, PV and solar emulators are also available to perform a variety of tests [73,74]. This system type enables the emulation of faults within PV systems, as well as the evaluation of performance by means of analyzing the I-V curve.…”

Section: Fault Diagnosis and Condition Assessment Of Pv Systemsmentioning

confidence: 99%

See 2 more Smart Citations

Condition Assessment of Medium Voltage Assets: A Review

Mesino,

Caicedo,

Mamaní

et al. 2023

Adv. sci. technol. eng. syst. j.

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Condition assessment of medium voltage assets is essential to ensure reliability and costeffective operation of power distribution networks. This article presents a literature review of condition assessment of medium voltage assets related to a distribution system in a noninterconnected zone in Colombia, namely, power transformers, photovoltaic systems, switchgear, lines and cables, and instrument transformers. Advanced search rules are formulated to obtain bibliographic records of relevant academic literature from the database Scopus. The retrieved data are analyzed quantitatively to provide insights on the current state of research on the topic. Next, the most relevant academic papers for each medium voltage asset are selected and analyzed in a critical review along with more diverse literature including standards, technical reports, and white papers obtained through complementary searches. The results of the review show that several approaches have been formulated for condition assessment of medium voltage assets, ranging from traditional diagnostic methods to advanced artificial intelligence-based approaches. Moreover, research on some assets is already mature including power transformers, and photovoltaic systems, whereas other assets have been incipiently studied such as distribution and instrument transformers. Therefore, the need for deeper condition assessment research for these critical assets is highlighted. Research gaps are identified in the standardization and integration of condition assessment tools for distribution system operators.

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Section: Photovoltaic (Pv) Systemsmentioning

confidence: 99%

Section: Fault Diagnosis and Condition Assessment Of Pv Systemsmentioning

confidence: 99%

Section: Fault Diagnosis and Condition Assessment Of Pv Systemsmentioning

confidence: 99%

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Condition Assessment of Medium Voltage Assets: A Review

Mesino,

Caicedo,

Mamaní

et al. 2023

Adv. sci. technol. eng. syst. j.

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“…To perform these measurements, new solar simulators equipped with light-emitting diode (LED) light sources are increasingly available, claiming different advantages compared with xenon and halogen lamp-based systems [3,4]. LED-based solar simulators are usually using a high number of spectrally different light sources to achieve a close spectral match to the Air Mass 1.5 global (AM1.5 g) [5] reference spectrum combining the narrow emission spectra of several LED types [6][7][8]. However, the classification of the spectral match (A+, A, B …) [9], usually referred to as the main quality aspect for solar simulators, plays a minor role for the measurement of multijunction devices [10].…”

Section: Introductionmentioning

confidence: 99%

A precise method for the spectral adjustment of LED and multi‐light source solar simulators

Chojniak,

Schachtner,

Reichmuth

et al. 2024

Progress in Photovoltaics

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Solar simulators based on light‐emitting diodes (LEDs) usually consist of many spectrally different LEDs, which in sum produce a sun‐like spectrum. On the one hand, this results in the advantage of a high spectral tunability of these systems and on the other hand, however, also in the challenge of a high number of parameters which have to be set for the adjustment of a suitable simulator spectrum. Multijunction solar cells consisting of series‐connected subcells are very sensitive to spectral irradiance conditions, which are affecting the current and the fill factor of the device. A precise adjustment of the simulator spectrum based on the spectral responsivity of the subcells is therefore essential for accurate multijunction measurements. Therefore, the number of spectrally different light sources used should be at least as high as the number of subcells in the device under test. However, for the measurement of multijunction devices, the much higher number of spectrally different light sources in common LED solar simulators results in a plethora of different simulator spectra, potentially suitable for the measurement. Furthermore, the nonlinear intensity characteristics of the utilized LEDs as well as the distance‐dependent illumination uniformity of such solar simulators add complexity when aiming for a precise spectral adjustment. To tackle these challenges, a new spectral adjustment procedure which is based on a least square's solution algorithm and the definition of appropriate boundary conditions for the calculation of suitable simulator settings is introduced in this publication. Focusing on measurements carried out under constant illumination makes the presented method especially applicable for perovskite‐on‐silicon multijunction devices. Therefore, an adapted method for the determination of the solar simulator's spectral properties, considering thermal influences which are particularly relevant when carrying out continuous illumination measurements, is introduced in this work. The presented method is verified applying it on a Wavelabs SINUS 220 LED solar simulator by performing a measurement comparison on a multijunction solar cell with Fraunhofer ISE CalLab's well‐established multilight source solar simulator.

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“…The measurement of the non-uniformity by using light detector is divided into 2 methods: i) Using a single detector; this is a traditional method may use single photo detector devices such as solar cells/photodiodes or pyranometer [1], [8]. Single detector captures and scans light intensity at various locations on the test area [9]. It is appropriate for steady state non-uniformity [1], [2], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Experiment analysis of non-uniformity measurement by array detector scanning system

Watjanatepin

Sritanauthaikorn

Boonmee

et al. 2022

IJEECS

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Solar simulator is used to analysis characteristic of the solar cells. The non-uniformity is its major performance. The traditional non-uniformity measurement calls single detector method. The paper’s objective is to design and construct an array detector scanning system and to determine the optimal scanning time to achieve the lowest uncertainty. To investigate the non-uniformity by our proposed method and the traditional method, our detector consisted of eight photodiodes mounted on an arm of a linear motion lead screw to guide the detector scaning onto the lighting area. A microcontroller applied for controling and measuring light irradiance in 64 points corresponding to IEC 60904-9 standard. The results showed that the array detector scanned at a speed of 33.33 mm/s to obtain the non-uniformity with the lowest uncertainty, less than 0.6%. Analysis results of the non-uniformity obtained from our system on the test areas of (mm×mm) 156×156, 166×166 and 200×200 compared with the single detector. It showed that the mean absolute error was 1.27. Our system provided a lower uncertainty than the traditional method. The measurement accuracy was acceptable. The advantage is for testing on different test areas within a single device. The measurement time is around 1/32 of the traditional method.

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Toward Class AAA LED Large Scale Solar Simulator With Active Cooling System for PV Module Tests

Cited by 9 publications

References 22 publications

Condition Assessment of Medium Voltage Assets: A Review

Condition Assessment of Medium Voltage Assets: A Review

A precise method for the spectral adjustment of LED and multi‐light source solar simulators

Experiment analysis of non-uniformity measurement by array detector scanning system

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