Analysis of factors affecting the performance of BIPV panels

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Article number10902
Journal / PublicationEPJ Applied Physics
Volume84
Issue number1
Publication statusPublished - Oct 2018

Abstract

We explore different methods of analyzing large and complex datasets related to building-integrated photovoltaics (BIPV). We use the data of the European RESSOURCES project obtained from ETNA, an experimental setup consisting of two full-scale replicas of residential homes featuring a double-skin facade. We show that classic data mining methods such as mutual information can be used to gain a better understanding of the physics behind BIPV systems and to highlight discrepancies between different experimental setups. We then use artificial neural networks to model the airflow inside a double-skin facade and quantify its contribution to the cooling and heating of buildings.

Citation Format(s)

Analysis of factors affecting the performance of BIPV panels. / Launay, Julien; Lee, Eric W.M.; Bennacer, Rachid et al.
In: EPJ Applied Physics, Vol. 84, No. 1, 10902, 10.2018.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review