Predictability and interrelations of spectral indicators for PV performance in multiple latitudes and climates

Sevillano-Bendezú, M A; Khenkin, Mark V.; Nofuentes, G.; Casa, J. de la; Ulbrich, Carolin; Töfflinger, Jan Amaru

doi:10.1016/j.solener.2023.04.067

Cited by 9 publications

(2 citation statements)

References 42 publications

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“…Japanese sites, such as ABS and TAT, demonstrate consistently high R 2 values, often exceeding 0.85 in March, May, and June, and robust values throughout the year. This is due to relatively predictable weather patterns and moderate latitudes [57,58]. However, the MB values fluctuate, with significant overestimation during March-April and August-September, reflecting seasonal changes and specific events like the cherry blossom season.…”

Section: Regional and Seasonal Variability In Solar Irradiancementioning

confidence: 99%

Validating Meteosat Second Generation and Himawari-8 Derived Solar Irradiance against Ground Measurements: Solarad AI’s Approach

Meher,

Rizvi,

Choudhary

et al. 2024

Energies

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This study assesses the efficacy of the Heliosat-2 algorithm for estimating solar radiation, comparing its outputs against ground measurements across seven distinct countries: the Netherlands, Spain, Japan, Namibia, South Africa, Saudi Arabia, and India. To achieve this, the study utilizes two distinct satellite data sources—Himawari-8 for Japan and Metosat Second Generation-MSG for the rest of the countries—and spanning the time between January 2022 and April 2024. A robust methodology for determining albedo parameters specific to Heliosat-2 was developed. During cloudy days, the estimates provided by Heliosat-2 generally exceeded the ground measurements in all of the countries. Conversely, on clear days, there was a tendency for underestimation, as indicated by the median values of the mean bias (MB) across most of the countries. The Heliosat-2 model slightly underestimates daily radiation values, with a median MB ranging from −27.5 to +10.2 W·m−2. Notably, the median root mean square error (RMSE) on clear days is significantly lower, with values ranging from 24.8 to 108.7 W·m−2, compared to cloudy days, for which RMSE values lie between 75.3 and 180.2 W·m−2. In terms of R2 values, both satellites show strong correlations between the estimated and actual values, with a median value consistently above 0.86 on a monthly scale and over 92% of daily data points falling within ±2 standard deviations.

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Section: Regional and Seasonal Variability In Solar Irradiancementioning

confidence: 99%

Validating Meteosat Second Generation and Himawari-8 Derived Solar Irradiance against Ground Measurements: Solarad AI’s Approach

Meher,

Rizvi,

Choudhary

et al. 2024

Energies

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“… The data can be evaluated for specific use cases by applying photon energy-material relations (e.g. Solar cell spectral response) [4] . …”

Section: Value Of the Datamentioning

confidence: 99%

Solar spectra datasets at optimum and vertical installation angles in central Europe (Berlin) during 2020, 2021 and 2022

et al. 2023

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Metastability in Dark Current Diode Characteristics of Chalcogenide Photovoltaic Modules

Friedel

2024

Physica Rapid Research Ltrs

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While present trends in commercial PV are set on a‐Si/c‐Si heterojunctions and promising perovskites, the chalcogenides still attract interest as an excellent candidate for coming multi‐ and heterojunction devices with perovskites. Continuously enhanced over the years, typical metastabilities in thin film devices still remain, causing issues under outdoor operation. Unfortunately, qualitative assessment in commercial PV is solely focused on data at the maximum power point of its operation, whether in simple on‐site PV plant monitoring or following latest standards for certified laboratory testing, thus metastabilities merely register as undefined power fluctuations. We show in this study that dark current characteristics are a simple and yet field‐fit method, to identify metastable changes and take suitable counter measures. With this study, using commercial CdTe and CIGS showcase modules of various manufacturers and production generations, we demonstrate how dark current characteristics allow to pin‐point physical changes of the individual module, between its pristine state, outdoor operation, dark degradation and stabilization, like a fingerprint. Using the two‐diode model, we show that alterations to respective regimes of the characteristic can be assigned to typical defects, defining the module’s current state, and be used to it as a guide to evaluate its recuperation via preconditioning treatments.This article is protected by copyright. All rights reserved.

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Predictability and interrelations of spectral indicators for PV performance in multiple latitudes and climates

Cited by 9 publications

References 42 publications

Validating Meteosat Second Generation and Himawari-8 Derived Solar Irradiance against Ground Measurements: Solarad AI’s Approach

Validating Meteosat Second Generation and Himawari-8 Derived Solar Irradiance against Ground Measurements: Solarad AI’s Approach

Solar spectra datasets at optimum and vertical installation angles in central Europe (Berlin) during 2020, 2021 and 2022

Metastability in Dark Current Diode Characteristics of Chalcogenide Photovoltaic Modules

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