Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
This paper analyzes the findings obtained when applying a multi-criteria performance-based method for sizing a BIPV installation considering different weather files, representing historical data (TMY; typical meteorological year) and prospective data (three alternative future climate change (CC) scenarios; RCP2.6, 4.5 and 8.5) with time horizons from 2030 to 2100. Through a solar and energy simulation process over a case-study building, electricity consumption and production values are computed along with various performance parameters such as self-sufficiency and carbon content of the electricity produced, for each simulated weather scenario. Results show that characteristics (i.e., size, etc.) of the BIPV installation that represents the best trade-off solution are slightly different according to the weather file considered. Given the warming climate, the global performance of a given BIPV installation can be expected to increase over time.
Christophe Ballif, Alessandro Francesco Aldo Virtuani