Modelling the impact of spectral irradiance and average photon energy on photocurrent of solar modules

This paper investigates the influence of the spectral irradiance variation and the spectral response (SR) on the production of energy by photovoltaic cells. To determine the impact of SR and spectral irradiance on m-Si and perovskite cells, experimental tests were conducted outdoors, used optical filters to select different zones of the spectrum. For the computational simulations of the different photovoltaic modules, when subjected to a certain spectral irradiance, a model with spectral factor (SF) was implemented. The SF model accurately simulated the experiments performed for the high-pass filters. The highest relative errors for certain irradiation bands occurred due to the input variables used in the model, which did not fully describe the reality of the experiments performed. The effect of the SR and the spectral irradiance for each of them were observed through the simulations for the m-Si, a-Si, CdTe, and copper indium selenide (CIS) modules. The CIS technology presented a better overall result in the near infrared zone, producing about half of the energy produced by the CdTe technology in the visible zone. The SF, spectral incompatibility factor (MM), and spectral effective responsivity (SEF) parameters were verified to be important for studying the photovoltaic energy production.

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Field test analysis of concentrator photovoltaic system focusing on average photon energy and temperature

Japanese Journal of Applied Physics ◽

10.7567/jjap.54.08ke05 ◽

2015 ◽

Vol 54 (8S1) ◽

pp. 08KE05 ◽

Cited By ~ 8

Author(s):

Husyira Al Husna ◽

Yasuyuki Ota ◽

Takashi Minemoto ◽

Kensuke Nishioka

Keyword(s):

Photon Energy ◽

Field Test ◽

Photovoltaic System ◽

Test Analysis ◽

Average Photon Energy

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The impact of solar spectral irradiance variability on middle atmospheric ozone

Geophysical Research Letters ◽

10.1029/2011gl047561 ◽

2011 ◽

Vol 38 (13) ◽

pp. n/a-n/a ◽

Cited By ~ 61

Author(s):

Aimee W. Merkel ◽

Jerald W. Harder ◽

Daniel R. Marsh ◽

Anne K. Smith ◽

Juan M. Fontenla ◽

...

Keyword(s):

Spectral Irradiance ◽

Atmospheric Ozone ◽

Solar Spectral Irradiance ◽

The Impact

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Impact of average photon-energy coefficient of solar spectrum on the short circuit current of photovoltaic modules

Current Applied Physics ◽

10.1016/j.cap.2017.07.004 ◽

2017 ◽

Vol 17 (10) ◽

pp. 1341-1346 ◽

Cited By ~ 3

Author(s):

Yuhei Horio ◽

Md. Mijanur Rahman ◽

Yurei Imai ◽

Yoshihiro Hishikawa ◽

Takashi Minemoto

Keyword(s):

Photon Energy ◽

Short Circuit ◽

Solar Spectrum ◽

Short Circuit Current ◽

Photovoltaic Modules ◽

Energy Coefficient ◽

Average Photon Energy

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The representation of solar cycle signals in stratospheric ozone – Part 2: Analysis of global models

Atmospheric Chemistry and Physics ◽

10.5194/acp-18-11323-2018 ◽

2018 ◽

Vol 18 (15) ◽

pp. 11323-11343 ◽

Cited By ~ 9

Author(s):

Amanda C. Maycock ◽

Katja Matthes ◽

Susann Tegtmeier ◽

Hauke Schmidt ◽

Rémi Thiéblemont ◽

...

Keyword(s):

Solar Cycle ◽

Atmospheric Chemistry ◽

Climate Models ◽

Stratospheric Ozone ◽

Temperature Response ◽

Climate Impacts ◽

Spectral Irradiance ◽

Special Focus ◽

Global Models ◽

The Impact

Abstract. The impact of changes in incoming solar irradiance on stratospheric ozone abundances should be included in climate simulations to aid in capturing the atmospheric response to solar cycle variability. This study presents the first systematic comparison of the representation of the 11-year solar cycle ozone response (SOR) in chemistry–climate models (CCMs) and in pre-calculated ozone databases specified in climate models that do not include chemistry, with a special focus on comparing the recommended protocols for the Coupled Model Intercomparison Project Phase 5 and Phase 6 (CMIP5 and CMIP6). We analyse the SOR in eight CCMs from the Chemistry–Climate Model Initiative (CCMI-1) and compare these with results from three ozone databases for climate models: the Bodeker Scientific ozone database, the SPARC/Atmospheric Chemistry and Climate (AC&C) ozone database for CMIP5 and the SPARC/CCMI ozone database for CMIP6. The peak amplitude of the annual mean SOR in the tropical upper stratosphere (1–5 hPa) decreases by more than a factor of 2, from around 5 to 2 %, between the CMIP5 and CMIP6 ozone databases. This substantial decrease can be traced to the CMIP5 ozone database being constructed from a regression model fit to satellite and ozonesonde measurements, while the CMIP6 database is constructed from CCM simulations. The SOR in the CMIP6 ozone database therefore implicitly resembles the SOR in the CCMI-1 models. The structure in latitude of the SOR in the CMIP6 ozone database and CCMI-1 models is considerably smoother than in the CMIP5 database, which shows unrealistic sharp gradients in the SOR across the middle latitudes owing to the paucity of long-term ozone measurements in polar regions. The SORs in the CMIP6 ozone database and the CCMI-1 models show a seasonal dependence with enhanced meridional gradients at mid- to high latitudes in the winter hemisphere. The CMIP5 ozone database does not account for seasonal variations in the SOR, which is unrealistic. Sensitivity experiments with a global atmospheric model without chemistry (ECHAM6.3) are performed to assess the atmospheric impacts of changes in the representation of the SOR and solar spectral irradiance (SSI) forcing between CMIP5 and CMIP6. The larger amplitude of the SOR in the CMIP5 ozone database compared to CMIP6 causes a likely overestimation of the modelled tropical stratospheric temperature response between 11-year solar cycle minimum and maximum by up to 0.55 K, or around 80 % of the total amplitude. This effect is substantially larger than the change in temperature response due to differences in SSI forcing between CMIP5 and CMIP6. The results emphasize the importance of adequately representing the SOR in global models to capture the impact of the 11-year solar cycle on the atmosphere. Since a number of limitations in the representation of the SOR in the CMIP5 ozone database have been identified, we recommend that CMIP6 models without chemistry use the CMIP6 ozone database and the CMIP6 SSI dataset to better capture the climate impacts of solar variability. The SOR coefficients from the CMIP6 ozone database are published with this paper.

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