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2026-02-19
Quantitative Durability Prediction of Photovoltaic Roof Waterproof Performance Using a Heterogeneous Cumulative Grey Model
By
Progress In Electromagnetics Research C, Vol. 166, 145-154, 2026
Abstract
Building Integrated Photovoltaics (BIPV) technology has emerged as a significant trend in building low-carbon and energy-efficient structures. Exposure to rainwater erosion and immersion can cause its waterproofing failure, significantly shorten the service life of the roof, and considerably lower indoor comfort. To address this, we developed a construction method for waterproofing details of photovoltaic roofs with embedded bolts. This approach optimized the joint design, enhanced the continuity of the waterproofed layer, and improved the building efficiency. We propose a Multivariate Heterogeneous Accumulation Grey Model to quantify the performance and long-term degradation of PV roof waterproofing, which can fully exploit factors such as temperature change and water flow. The application of the new model for quantitative prediction not only demonstrates the effectiveness of the new process improvements, but also provides a novel theoretical tool for future research. Prediction results indicate that the total exudate volume under the new process is less than 2,000 mL (only 1/6 that of the control group). The experiments demonstrate that key waterproofing details with embedded bolts are superior to those of traditional methods in terms of impermeability and durability. The results provide a scientific and technical solution for improving the waterproofness of photovoltaic roofs.
Citation
Zhi Li, Zhongliang Yao, Yongtong Li, Wenxuan Cui, and Yixuan Li, "Quantitative Durability Prediction of Photovoltaic Roof Waterproof Performance Using a Heterogeneous Cumulative Grey Model," Progress In Electromagnetics Research C, Vol. 166, 145-154, 2026.
doi:10.2528/PIERC25121706
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