Analysis of factors affecting the performance of BIPV panels

作者：Launay, Julien; Lee, Eric W. M.^*; Bennacer, Rachid; Yuen, Richard K. K.

来源：The European Physical Journal - Applied Physics, 2018, 84(1): 10902.

DOI：10.1051/epjap/2018180176

• Building-integrated photovoltaics
• Complex datasets
• Data mining methods
• Double-skin facades
• Heating of buildings
• Mutual informations
• Residential homes

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.

• 出版日期2018-11-28
• 单位香港城市大学