Eur. Phys. J. Appl. Phys.
Volume 84, Number 1, October 2018
Materials for Energy harvesting, conversion and storage (Icome 2017)
|Number of page(s)||7|
|Section||Physics of Energy Transfer, Conversion and Storage|
|Published online||28 November 2018|
Analysis of factors affecting the performance of BIPV panels★
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: email@example.com
Received in final form: 12 September 2018
Accepted: 13 September 2018
Published online: 28 November 2018
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.
© EDP Sciences, 2018
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.