Global Sensitivity Analysis: Rating the Influence of Parameters in a PV Performance Tool

Analyse de sensibilité globale: Classement de l'influence des paramètres sur un outil d'estimation de la production d’énergie photovoltaïque

Katherine Alvino Saavedra (1, 2) , Nicolas Zalachas (1) , Rodrigo Amaro E Silva (3) , Philippe Blanc (4, 5, 6, 3) , Maroun Nemer (2)

1 BBS Slama
2 CES - Centre Efficacité Énergétique des Systèmes
3 O.I.E. - Centre Observation, Impacts, Énergie
4 Alcatel Alenia Space [Cannes]
5 TAS - Thales Alenia Space [Toulouse]
6 CEP - Centre Énergétique et Procédés

We applied a global sensitivity analysis (GSA) to a PV performance tool to describe the influence of four parameters (orientation, tilt, distance between rows and albedo, along with the interaction effects between them) on two intermediary results of the estimation: yearly effective irradiance and yearly energy generation. In the case of yearly effective irradiance, the most influential factors where orientation, distance between rows and tilt, in order of influence, followed by two interaction effects between them. For the yearly energy output, the most influential factors where distance between rows, orientation and tilt, with the first parameter noticeably exceeding the rest of influence sources. We underlined the importance of using this information to obtain relevant visual representations of the model’s behaviour.

Mots clés: PV Systems Engineering; Integrated / Applied PV; Engineering Design and Installation of PV Systems; PV performance tools global sensitivity analysis (GSA) Sobol' optimisation; PV performance tools; global sensitivity analysis (GSA); Sobol'; optimisation

Domaines: Energie électrique

Katherine Alvino Saavedra, Nicolas Zalachas, Rodrigo Amaro E Silva, Philippe Blanc, Maroun Nemer. Global Sensitivity Analysis: Rating the Influence of Parameters in a PV Performance Tool. European Photovoltaic Solar Energy Conference Europe 2023, Sep 2023, Lisbon, Portugal. ⟨10.4229/EUPVSEC2023/4DV.4.41⟩. ⟨hal-04356707⟩