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Investigation effects of environmental and operating factors on PV panel efficiency using by multivariate linear regression
Author(s) -
Kaya Ferhat,
Şahin Gökhan,
Alma Mehmet Hakkı
Publication year - 2021
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.5717
Subject(s) - multivariate statistics , photovoltaic system , linear regression , wind speed , bayesian multivariate linear regression , panel data , regression analysis , voltage , environmental science , maximum power principle , multivariate analysis , statistics , mathematics , engineering , meteorology , electrical engineering , physics
Summary The aim of this study is to show the investigation effects of environmental and operating factors on photovoltaic (PV) panel efficiency using by multivariate linear regression. Also in this study, the relationship between PV panel efficiency and some environmental and operating factors (solar radiation, open‐circuit voltage, short circuit current (I sc ), power, fill factor, outside temperature, humidity, wind speed, and voltage) were investigated using multivariate linear regression. The effect of binary parameter interactions on panel performance was investigated using the backward elimination (or deletion) method. The data used in the analysis were obtained from monocrystal and polycrystal panels in December in the winter season. In all analyzes, the regression values are close to 1, which indicates that the compatibility between binary parameters and performance characteristics is perfect. In addition, the three most effective parameters on panel efficiency were found to be solar radiation, maximum power (P max ), and I sc , respectively.