Potential energy yield increase of a solar spectra down-converter equipped photovoltaic device in real operational conditions
Bartosz Fetliński , Michał Malinowski
AbstractAverage Photon Energy is good approximator of PV cell efficiency increase due to DC. Abstract In this work, we evaluate the impact of solar spectrum down-converter (DC) on an energy yield of solar cells working in real world meteorological conditions. For this purpose, a simple model of PV device with a down-converting layer is used, with inputs (spectra, irradiance, temperature) taken from the public NREL database for their outdoor test facility. The model assumes ideal external quantum efficiency (EQE). The analysis showed that in these conditions the energy yield increase from the use of DC system is 23.64% which is bigger than improvement due to DC calculated for the standard test conditions (20.1%). This effect is more profound in summer (24.8% for June-August) than winter months (22.1% for December-February). The average photon energy (APE) turned out to reasonably well reflect the overall impact of the DC layer on the energy yields with R2 = 0.96. The primary conclusion is that the impact of spectral converters on PV device performance should be analyzed not only in the standard test conditions as in the real operating conditions the result of spectra converting layer may turn out substantially better, lowering the bar for commercialization and broad application of such layers.
|Journal series||Solar Energy, ISSN 0038-092X, (A 35 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||Photovoltaics; Down-conversion; Spectral irradiance; PV system performance|
|project||The Development of Design, Processing and Testing Methods of the Electronic Devices and Materials for Microelectronics and Optoelectronics. Project leader: Szczepański Paweł,
, Phone: (48 22) 234 58 70, start date 01-01-2015, planned end date 31-12-2015, end date 31-05-2016, IMiO/2015/STATUT/1, Implemented
|Score||= 35.0, 23-09-2019, ArticleFromJournal|
|Publication indicators||= 0; : 2017 = 1.791; : 2017 = 4.374 (2) - 2017=4.831 (5)|
|Citation count*||1 (2019-10-20)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.