Development of a high/low concentration photovoltaic module with dichroic spectrum splitting

Antonini, Andrea; Butturi, Maria Angela; Zurru, P.; Norton, Matthew; Parretta, A.

doi:10.1002/pip.2532

Cited by 4 publications

(1 citation statement)

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“…There are also many papers about Hybrid Photovoltaic (PV)-Thermoelectric (TE) systems which is another kind of splitting technology emerged in recent years. The PV-TE systems make part of solar radiation available for PV generating system [8]. The rest of solar radiation is concentrated on the TE system for producing electricity by the thermoelectric effect.…”

Section: Introductionmentioning

confidence: 99%

An Novel Explicit Model for Photovoltaic I-V Characteristic Prediction Based on Different Splitting Spectrum

Liu¹,

W²,

Zhang³

et al. 2018

Preprint

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Looking at different operating climatic conditions, the electrical behavior predicting photovoltaic modules gets very important. For the estimation of output power from photovoltaic (PV) plants this is a very essential and basic aspect. In this paper, the relationship between the I-V curve and the irradiation spectrum is discussed by combining the single diode model. An explicit elementary analytical model with two defined shape parameters is discussed and improved with three approximations and second order Taylor expansion. Then, the explicit elementary analytical model is investigated under varying conditions leveraging the four parameters Iph, I0, Rs and Rsh from the single diode model. The relationship between the physical parameters and the condition parameters are discussed and applied to extract the shape parameters at different scenarios. Considering the aging effect, the process of calculation to predict the I-V curve under different splitting spectra is simplified as follow: (1) two shape parameters are gotten from the I-V data at measurement reference conditions (MRC); (2) the short circuit current, open circuit voltage and shape parameters under any splitting spectrum can be calculated based on the relationship provided in article; (3) the performance of PV panel can be predicted with parameters. The validation of this model was experimentally proven leveraging monocrystalline silicon photovoltaic module with different splitting films. Results showed that the model accurately predicts the I-V characteristics for the examined PV modules at different irradiance spectra and cell temperatures. Moreover, the presented model performs superior compared to other investigated models when looking at accuracy and simplicity.

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Section: Introductionmentioning

confidence: 99%