Coupled thermal-electrical-optical analysis of a photovoltaic-blind integrated glazing façade

Yongqiang Luo, Ling Zhang, Zhongbing Liu, Xiaosong Su, Jinbu Lian and Yongwei Luo

Applied Energy, 2018, vol. 228, issue C, 1870-1886

Abstract: PV-blind embedded double skin façade (PVB-DSF) is a promising façade system for building energy efficiency. This paper developed a coupled thermal-electrical-optical model for analyzing, evaluating and optimizing the system performance. The ray-tracing method, radiosity method and net radiation method are used for the optical model. The single diode RP-model and Lambert-W function are adopted in the electrical model. The airflow network and energy balance equations are coupled for system thermal model. A complex simulation algorithm is proposed for the thermal-electrical-optical model solution. A series of experiments were implemented for model verification. The comparisons between simulation and measurement data show a good agreement. Specifically, the relative mean square error (RMSE) for simulation result in optical model is 2.02 W/m2 in sunny day and 5.21 W/m2 in cloudy day; 2.24 V for output voltage and 1.47 W for output power; 0.67 °C, 0.41 °C and 2.17 °C for external, internal glass pane and PV-blind. On top of that, the model is used as a tool for understanding the system performance under different configurations and position of PV-blind, solar cell efficiency and airflow rate. PV-blind angle and width under different spacing settings are optimized for balancing system energy performance and indoor daylighting comfort level. This study offers a useful simulation tool and a deeper understanding of PVB-DSF, which is beneficial for the design, control, optimization and evaluation of this effective glazing façade and can contribute to building energy efficiency.

Keywords: PV façade; Double skin façade; Shading device; Daylighting; Energy saving (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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DOI: 10.1016/j.apenergy.2018.07.052

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