Estimation of power output and thermodynamic analysis of standard and finned photovoltaic panels
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study deals with the estimation of power output and also thermodynamic analysis of two different photovoltaic panels. One of the panels is a standard photovoltaic module without fins (SPV), and the other one is a photovoltaic module with fins (FPV). First, a multi-layer feed-forward neural network structure is designed to estimate the daily power produced by photovoltaic modules. Furthermore, energy and exergy analyses were carried out to compare the performance of SPV and FPV panels. According to the thermodynamic analysis results using the experimental data obtained for two days (July 3, 2020 and August 4, 2020), it was calculated that the energy efficiency increased by a maximum of 8.77% and the exergy efficiency increased by a maximum of 25.9% in the FPV panel compared to the SPV panel. Moreover, considering the data obtained for each day during three months (July, August, and September), the total energy production increase in the FPV panel is approximately 6.7% compared to the SPV panel.
Açıklama
Anahtar Kelimeler
Photovoltaic, Passive Cooling, Fin, Energy Analysis, Exergy Analysis, Prediction, Artificial Neural Network, Artificial Neural-Network, Exergy Analyses, Energy, Performance, Prediction, Models
Kaynak
Energy Sources Part A-Recovery Utilization And Environmental Effects
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
45
Sayı
3
