Understanding the behaviour of naturally-ventilated BIPV modules: A sensitivity analysis. (December 2020)

• Record Type: Journal Article
• Authors: Gonçalves, Juliana E.; van Hooff, Twan; Saelens, Dirk
• Is Part Of: Renewable energy. Volume 161(2020)
• Page Start: 133
• Page End: 148
• Publication Date: 2020-12
• Subjects: Building integrated photovoltaic (BIPV) -- Sensitivity analysis -- Natural ventilation -- Exterior convective heat transfer coefficient -- Building facades -- Solar energy; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2020.06.086
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Building integrated photovoltaic (BIPV) is a key concept for the realisation of sustainable buildings. Despite the progress in BIPV modelling, the use of sensitivity analysis (SA) is still scarce in the BIPV literature. SA can help the modeller to identify which model inputs influence the model outputs the most. This paper presents a simulation framework that combines global SA methods with a multi-physics BIPV model. The analysis focuses on the performance of naturally ventilated BIPV facade elements (cell temperature and power). Building performance indicators, such as the total heat flux to the building interior and the building wall temperature, are also analysed. Inputs to the SA include convective heat transfer coefficients, cavity airflow rate, and weather conditions. As expected, the SA results were found to be highly dependent on the range selected for the inputs. For a narrow variation in weather conditions, the exterior convective heat transfer coefficient was identified as the input with the strongest influence on the BIPV performance. Results also showed that cavity ventilation becomes more important as the exterior convective heat transfer decreases. These findings indicate the need for accurate models to represent exterior convective heat transfer in BIPV facades and corroborate the importance of cavity ventilation. Highlights: Development of a simulation framework for global sensitivity analysis. Identification of the main inputs influencing the BIPV behaviour. Focus on BIPV power and temperature and heat flux to the building interior. Inputs include convective heat transfer, airflow rate and weather conditions. Exterior convective heat transfer coefficient has a strong influence.