Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA

     

A performance-driven simulation workflow for PV integration into the design process: application on an innovative building project in Switzerland

Sergi Aguacil Moreno
Building2050 group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Fribourg, Switzerland

DOI: https://doi.org/10.26868/25222708.2021.30636
Abstract: In the construction sector, the integration of active elements functioning both as building envelope material and on-site electricity generator is identified as a key measure to achieve the 2050 targets and carbon neutrality (Aguacil Moreno, 2019; Aguacil Moreno, Lufkin, & Rey, 2019). Despite an increasing confluence of the photovoltaic (PV) industry and the building glass manufacturers, which offers high design freedom in relation to size, colour and texture, architects and engineers continue to address the issue in a traditional way, by limiting themselves to the application of "standard" catalogue products that particularly constrain their designs (Bonomo, Frontini, De Berardinis, & Donsante, 2017; Zanetti et al., 2017). This way of working, which makes it difficult to integrate PV systems into the building envelope and, therefore, into the overall building design, often leads to a method of sizing that largely makes abstraction of the building’s electricity needs. This article presents the application - in an ongoing design process - of an innovative active surfaces selection method adapted to the design phases using 3Dmodeling and hourly-step simulations (Aguacil Moreno et al., 2019) using Rhino (Robert McNeel & Associates, 2019) and Grasshopper (Davidson, 2018). Through an integrated-design approach, the proposed workflow allows to quickly obtain visual and quantitative results on the building envelope, and supports a design decisionmaking process that proposes an alternative approach to usual practice.
Keywords: active surfaces, building-integrated photovoltaics, architectural design, carbon emission, building information modelling
Pages: 3180 - 3187
Paper:
bs2021_30636