Realistic power output modeling of CPV modules

Steiner, Marc; Siefer, Gerald; Bösch, Armin; Hornung, Andreas; Bett, Andreas W.

doi:10.1063/1.4753893

Cited by 13 publications

(8 citation statements)

References 11 publications

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“…Other authors are focused on predicting the power output and energy generation of a certain CPV system and, in order to do that, they model the influence of the spectral variations on the solar cell together with the optics [17,18]. In particular, the references by Hornung [19] and Steiner [20] analyze systems comprising SoG Fresnel lenses and their temperature sensitivity by using finite element modeling and raytracing to predict the optics behavior.…”

Section: Introductionmentioning

confidence: 99%

Tuning the current ratio of a CPV system to maximize the energy harvesting in a particular location

Victoria

Askins

Núñez

et al. 2013

AIP Conference Proceedings

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Abstract:A method based on experimental data is proposed to optimize the energy harvesting of a silicone-on-glass Fresnel-lens based CPV system. It takes into account the spectral variations along the year in a particular location as well as the thermal and spectral sensitivities of the optics and solar cell. In addition, different alternatives to tune the top/middle subcells current ratio in a CPV module are analyzed and their capacity to maximize the annually produced energy is quantified.

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Section: Introductionmentioning

confidence: 99%

Tuning the current ratio of a CPV system to maximize the energy harvesting in a particular location

Victoria

Askins

Núñez

et al. 2013

AIP Conference Proceedings

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show abstract

“…Steiner et al [21,22] calculated a good RMSE between 2.6% and 3.9% for calculating the electrical power of various HCPV modules. But, this model is complex and need to know the misalignment measure and a fine knowledge of the cell and optical processes.…”

Section: Yield Opt Model (2015)mentioning

confidence: 99%

“…Steiner et al [21,22] developed the « Yield Opt » model considered as a more complex version of the Syracuse model. It uses also the SMARTS tool to determine the solar spectrum and integrates a model to define the optical spectral transmission Tr optic for a lens temperature T lens given by a ray tracing software and a finite elements calculation, to get the shape deformation of the Primary Optical Element (POE) for a given T lens .…”

Section: Yield Opt Model (2015)mentioning

confidence: 99%

Overview of electrical power models for concentrated photovoltaic systems and development of a new operational model with easily accessible inputs

Benhammane

Notton

Pichenot

et al. 2021

Renewable and Sustainable Energy Reviews

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“…In this paper, we present a model called YieldOpt that is similar to the Syracuse model. The first results were published in . One of the novelties of YieldOpt toward Syracuse is a more detailed treatment of the concentrator optics.…”

Section: Introductionmentioning

confidence: 99%

YieldOpt, a model to predict the power output and energy yield for concentrating photovoltaic modules

Steiner

Siefer

Hornung

et al. 2014

Progress in Photovoltaics

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In this work, we discuss three empirical models and introduce one more detailed model named YieldOpt. All models can be used to calculate the power output and energy yield of concentrating photovoltaic (CPV) modules under different ambient conditions. The YieldOpt model combines various modeling approaches: simple model of the atmospheric radiative transfer of sunshine for the spectral irradiance, a finite element method for thermal expansion, ray tracing for the optics, and a SPICE network model for the triple-junction solar cell. YieldOpt uses a number of constant and variable input parameters, for example, the external quantum efficiency of the cells, the temperature-dependent spectral optical efficiencies of the optics, the tracking accuracy, the direct normal irradiance, the aerosol optical depth, and the temperature of the lens and the solar cell. To verify the accuracy of the models, the I-V characteristics of five CPV modules have been measured in a 10-min interval over a period of 1year in Freiburg, Germany. Four modules equipped with industrial-standard lattice-matched triple-junction solar cells and one module equipped with metamorphic triple-junction solar cells are investigated. The higher accuracy of YieldOpt compared with the three empirical models in predicting the power output of all five CPV modules during this period is demonstrated. The energy yield over a period of 1year was predicted for all five CPV modules with a maximum deviation of 5% by the three empirical models and 3% by YieldOpt

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Realistic power output modeling of CPV modules

Cited by 13 publications

References 11 publications

Tuning the current ratio of a CPV system to maximize the energy harvesting in a particular location

Tuning the current ratio of a CPV system to maximize the energy harvesting in a particular location

Overview of electrical power models for concentrated photovoltaic systems and development of a new operational model with easily accessible inputs

YieldOpt, a model to predict the power output and energy yield for concentrating photovoltaic modules

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