2018
DOI: 10.2478/ata-2018-0003
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of Selected Photovoltaic Panels Operating Parameters as a Function of Partial Shading and Intensity of Reflected Radiation

Abstract: Due to expansion of utilisation of photovoltaics in ordinary households, the question arises how this phenomenon affects the electric power of photovoltaic modules. The article deals with the electric power analysis of photovoltaic modules as a function of two very important factors. The first examined factor was partial shading, and the second factor was the intensity of reflected radiation. In order to determine the dependence of module power on the aforementioned parameters, a measurement system under labor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2020
2020

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…This design method utilizes mathematical models and the simulation of them to reduce the costs and to speed up the test phase. This approach is useful to analyse and develop an existing solution as well (Bilčík et al, 2018). There are working software packages for solar applications that use this method, for example the TRNSYS software (Kyn and Urban, 2013;TRNSYS, 2009) or the Polysun software (Lacoste et al, 2010).…”
Section: János Tóth István Farkasmentioning
confidence: 99%
“…This design method utilizes mathematical models and the simulation of them to reduce the costs and to speed up the test phase. This approach is useful to analyse and develop an existing solution as well (Bilčík et al, 2018). There are working software packages for solar applications that use this method, for example the TRNSYS software (Kyn and Urban, 2013;TRNSYS, 2009) or the Polysun software (Lacoste et al, 2010).…”
Section: János Tóth István Farkasmentioning
confidence: 99%