https://doi.org/10.1051/epjap/2018180176
Regular Article
Analysis of factors affecting the performance of BIPV panels★
1
Department of Génie-Civil, ENS Paris-Saclay, Université Paris Saclay, France
2
Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong (SAR)
a e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
12
June
2018
Received in final form:
12
September
2018
Accepted:
13
September
2018
Published online: 28 November 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.
Contribution to the topical issue “Materials for Energy harvesting, conversion and storage (Icome 2017)”, edited by Jean-Michel Nunzi, Rachid Bennacer, and Mohammed El Ganaoui
© EDP Sciences, 2018
