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Title:
 
A Comparative Study of PV Modules Performance between Prediction Models and Experience in the Green Energy Park: Crystalline Technology
 
Author(s):
 
C. Hajjaj, M. Benhmida, S. Sahnoun, A. Alami Merrouni, A. Ghennioui, A. Benlarabi, B. Ikken, Z. Naimi, A. Bennouna, M. Maaroufi
 
Keywords:
 
PV Performance, Prediction, Statistical Indicators
 
Topic:
 
Performance, Reliability and Sustainability of Photovoltaic Modules and Balance of System Components
Subtopic: PV Module Performance and Reliability
Event: 33rd European Photovoltaic Solar Energy Conference and Exhibition
Session: 5BV.4.26
 
Pages:
 
1602 - 1604
ISBN: 3-936338-47-7
Paper DOI: 10.4229/EUPVSEC20172017-5BV.4.26
 
Price:
 
 
0,00 EUR
 
Document(s): paper, poster
 

Abstract/Summary:


This paper aims to give a critical overview of the existing prediction models for PV modules performance over a long term. Indeed, each model takes into account a number of meteorological parameters (cell temperature, ambient temperature, solar radiation and solar spectrum), and depends on regressive coefficients to weight each term of the equations, yet, each model won’t be giving the exact performances. We will compare the efficiency calculated by Evans and Durish prediction models with the experimental data collected from the outdoor PV test platform at the GEP and highlight the relevance of each model.