Modeling spectral effects of colored BIPV modules on vertical façades

作     者：Sanz-Saiz, Carlos Silva, Jose Pedro Marcos, Ana Polo, Jesus 

作者机构：CIEMAT Photovolta Solar Energy Unit Avda Complutense 40 Madrid 28040 Spain UPM Dept Construct & Technol Architecture ETSAM Madrid Spain 

出 版 物：《SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS》 (Sustainable Energy Technol. Assess.)

年 卷 期：2025年第75卷

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：RINGS-BIPV (Advanced Modeling and Prediction of BIPV) Project - Spanish Ministerio de Ciencia, Innovacion y Universidades [PID2021-124910OB-C31] ERDF/EU 

主　　题：Building-integrated photovoltaics (BIPV) Vertical fa & ccedil ades Colored modules Irradiance modeling Spectral mismatch factor 

摘      要：Building-integrated photovoltaics (BIPV) allows renewable energy generation within urban environments. The development of appealing BIPV products, such as colored modules, favors BIPV deployment. However, little attention has been given to the influence of the mounting conditions (i.e., inclination, orientation) and the color choice on the spectral effects that affect the power output of such BIPV installations. As a novelty, this work presents a method suitable for evaluating the spectral effects undergone by colored modules installed in vertical fa & ccedil;ades as a function of both fa & ccedil;ade orientation and module color. This method has been applied to three colored crystalline silicon (c-Si) BIPV modules (anthracite, terracotta, and green) for vertical installations in Madrid (Spain) under representative albedo conditions and compared with the results of three spectral models designed for conventional photovoltaic systems (SAPM, First Solar, Caballero). Results suggested that while the effective transmittance (and consequently the power output) was affected by fa & ccedil;ade orientation and color choice, the latter had a negligible influence on spectral mismatch effects. In contrast, fa & ccedil;ade orientation was a determinant for predicting some spectral losses throughout the year, which conventional spectral models cannot account for.