Modelling photovoltaic power

Mavromatakis, F.; Vignola, Frank; Franghiadakis, Y.

doi:10.22618/tp.ei.20151.192023

Cited by 1 publication

(3 citation statements)

References 4 publications

(9 reference statements)

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“…A first version of the model has been presented in [3] along with the mathematical expressions describing the various factors that affect the photovoltaic power. As already mentioned the model can be improved if diffuse and beam solar irradiance data are available.…”

Section: Discussionmentioning

confidence: 99%

“…The model assumes that the solar irradiance affects the power production in two distinct ways. The first is the known linear dependence of photovoltaic power and the short circuit current, while the second involves the known reduction in efficiency ( [3] and references there in). The cell temperature is assumed to be measured through the backside temperature.…”

Section: A Maintaining the Integrity Of The Specificationsmentioning

confidence: 99%

“…Several models are available in the literature that provide estimates of the PV power based on a number of parameters [1]. In the approach used in this study, simple mathematical functions are utilized to describe the effects of the light traveling path through the atmosphere, angle of incidence, low irradiance and inverter efficiency [2,3]. Dust losses can be included if they are known.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Photovoltaic Power

Mavromatakis

Franghiadakis

Vignola

2016

Eng. Technol. Appl. Sci. Res.

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A robust and reliable model describing the power produced by a photovoltaic system is needed in order to be able to detect module failures, inverter malfunction, shadowing effects and other factors that may result to energy losses. In addition, a reliable model enables an investor to perform accurate estimates of the system energy production, payback times etc. The model utilizes the global irradiance reaching the plane of the photovoltaic modules since in almost all Photovoltaic (PV) facilities the beam and the diffuse solar irradiances are not recorded. The airmass, the angle of incidence and the efficiency drop due to low values of solar irradiance are taken into account. Currently, the model is validated through the use of high quality data available from the National Renewable Energy Laboratory (USA). The data were acquired with IV tracers while the meteorological conditions were also recorded. Several modules of different technologies were deployed but here we present results from a single crystalline module. The performance of the model is acceptable at a level of 5% despite the assumptions made. The dependence of the residuals upon solar irradiance temperature, airmass and angle of incidence is also explored and future work is described.

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Section: Discussionmentioning

confidence: 99%

Section: A Maintaining the Integrity Of The Specificationsmentioning

confidence: 99%