期刊
RENEWABLE ENERGY
卷 163, 期 -, 页码 1238-1252出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2020.09.027
关键词
Photovoltaic vacuum glazing; Thermal property; Heat transfer; Temperature distribution; U-value
资金
- Teaching Postgraduate Studentship Scheme (TPS) of The Hong Kong Polytechnic University
- Research and Integrated Demonstration on Suitable Technology of Net Zero Energy Building [2019YFE0100300]
This paper presents an integrated photovoltaic vacuum glazing unit and uses a modeling approach to quantify its thermal properties and evaluate its heat transfer performance. Results show that the photovoltaic vacuum double glazing performs best among the four configurations and can be further improved through design optimizations.
This paper proposes an integrated photovoltaic vacuum glazing unit with an intermediate air cavity and a calibrated modelling approach to quantify its thermal properties and evaluate the heat transfer performance. Theoretical analyses of the heat transfer process are conducted with reasonable hypotheses and traceable boundary conditions. Three-dimensional heat transfer models are then established and cross validated against previous publications. The detailed validation demonstrates the reliability of the developed complex models under different circumstances. Furthermore, four photovoltaic vacuum glazing configurations are compared in terms of the temperature distribution and overall heat transfer coefficient (i.e. U-value). Simulation results show that the photovoltaic vacuum double glazing can achieve the optimum performance among the four configurations based on simultaneous consideration of the PV module temperature and U-value. Sensitivity analyses of glazing design factors are also conducted for the U-value, which is found to be greatly reduced by decreasing the density and diameter of vacuum pillars as well as the glass thermal conductivity. A lowest U-value of 0.23 W/(m(2).K) is achieved for the photovoltaic-vacuum double glazing and can be further improved with future design optimizations. This research can provide guidance to design improvement of PV vacuum glazing systems and promote their integration with building modelling tools. (C) 2020 Elsevier Ltd. All rights reserved.
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