Output estimation of Si-based photovoltaic modules with outdoor environment and output map

Takahashi, Hiroaki; Fukushige, Shunichi; Minemoto, Takashi; Takakura, Hideyuki

doi:10.1016/j.jcrysgro.2008.09.154

Cited by 27 publications

(6 citation statements)

References 1 publication

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“…The APE is an important parameter affecting power output from a PV module [32]. Spectral irradiance distribution was defined by the APE, and it is calculated by dividing the integrated spectral irradiance from the measurements and integrated photon flux density [33, 34], as shown as follows:

normalAPE = \frac{\int_{a}^{b} E ()(, λ) normald λ}{q \int_{a}^{b} normalΦ false(λ false) normald λ}

In the above equation, Φ is the APE (eV), q is the electronic charge (1.602 × 10 −19 coulomb), λ is the spectral photon flux density (photons/cm 2 s nm), and E is spectral irradiance (W/m 2 nm). In this study, a and b are set to 350 nm and 1050 nm, respectively.…”

Section: Materials and Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Effect of dust on the solar spectrum and electricity generation of a photovoltaic module

Konyu

Ketjoy

Sirisamphanwong

2020

IET Renewable Power Generation

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normalAPE = \frac{\int_{a}^{b} E ()(, λ) normald λ}{q \int_{a}^{b} normalΦ false(λ false) normald λ}

Section: Materials and Methodologymentioning

confidence: 99%

Section: Materials and Methodologymentioning

confidence: 99%

Effect of dust on the solar spectrum and electricity generation of a photovoltaic module

Konyu

Ketjoy

Sirisamphanwong

2020

IET Renewable Power Generation

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“…A closer insight to that methodology is provided in what follows. Subsequent work assumed this one-to-one relationship between APE and GTI [21][22][23][24][25][26][27][28][29][30], although further investigation at other sites was encouraged to confirm the possible universality of such a relationship.…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation of a Spectral Index to Characterize Temporal Variations in the Direct Normal Irradiance Spectrum

Nofuentes

Gueymard²,

Caballero³

et al. 2021

Applied Sciences

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A simple index is desirable to assess the effects on both flat-plate and concentrating photovoltaics of natural changes in the solar spectrum. Some studies have suggested that the relationship between the Average Photon Energy (APE) and the shape of individual global tilted irradiance, global horizontal irradiance, or direct normal irradiance (DNI) spectra is bijective and can therefore be used as a single number to unequivocally replace a complete spectral distribution. This paper reevaluates these studies with a modified methodology to assess whether a one-to-one relationship really exists between APE and spectral DNI. A 12-month dataset collected in Jaén (Spain) using a sun-tracking spectroradiometer provides the necessary spectral DNI data between 350 and 1050 nm. After quality control and filtering, 78,772 valid spectra were analyzed. The methodology is based on a statistical analysis of the spectral distributions binned in 0.02-eV APE intervals, from 1.74 to 1.90 eV. For each interval, both the standard deviation and coefficient of variation (CV) are determined across all 50-nm bands into which the 350–1050-nm waveband is divided. CV stays below 3.5% within the 450–900-nm interval but rises up to 13% outside of it. It is concluded that APE may be approximately assumed to uniquely characterize the DNI spectrum distribution for Jaén (and presumably for locations with similar climates) only over the limited 450–900-nm waveband.

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“…[16][17][18] Subsequently, we have proposed an output energy estimation method based on contour maps of PV module performance and environmental factors such as average photon energy (APE) and T mod . [19][20][21] Furthermore, a method of calculating APE and T mod , which are not widely measured at various locations, was proposed. 22) In this study, the yearly output performance of 4 types of Si-based PV module with optimum tilt angle was estimated at 24 locations in 20 countries using 2 types of data: (1) Yearly outdoor performance data of PV modules installed at Kusatsu City in Shiga Prefecture, Japan and (2) Typical yearly meteorological data such as irradiance and ambient temperature (T amb ) at 24 locations worldwide.…”

Section: Introductionmentioning

confidence: 99%

Worldwide performance estimation of silicon-based photovoltaic modules using meteorological data

Kamei¹,

Yoshida²,

Kataoka³

et al. 2014

Jpn. J. Appl. Phys.

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The worldwide yearly output performance of four types of silicon (Si)-based photovoltaic (PV) module was estimated on the basis of two types of data, i.e., world meteorological data at 24 locations and actual output performance data measured in Kusatsu City, Japan. To analyze these data, contour maps as a function of module temperature and solar spectral distribution were used. As a result, the output performance of multicrystalline Si (mc-Si) and amorphous Si (a-Si) PV modules depended on location. The mc-Si and a-Si PV modules showed high performance at high and low latitudes, respectively. This is because mc-Si and a-Si PV modules have strong temperature and solar spectral distribution dependences, respectively. On the other hand, tandem-type thin-film Si PV modules were relatively independent of the ambient environment.

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Output estimation of Si-based photovoltaic modules with outdoor environment and output map

Cited by 27 publications

References 1 publication

Effect of dust on the solar spectrum and electricity generation of a photovoltaic module

Effect of dust on the solar spectrum and electricity generation of a photovoltaic module

Experimental Evaluation of a Spectral Index to Characterize Temporal Variations in the Direct Normal Irradiance Spectrum

Worldwide performance estimation of silicon-based photovoltaic modules using meteorological data

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