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This study evaluates the reliability of Meteonorm typical meteorological year (TMY) data in predicting moisture-induced damage in internally insulated walls with wood fiber in South Tyrol. It compares Meteonorm TMY data with multi-year ground station records in Silandro, Bolzano, and Santa Maddalena to assess wood degradation risks under peak moisture loads. Hygrothermal simulations in Delphin were performed for wood, stone, and brick walls. Earth Mover’s Distance (EMD) quantified discrepancies in relative humidity, temperature, and moisture content. Results indicate that Meteonorm underestimates moisture risks, particularly in S.Maddalena and Silandro. Multi-year datasets are essential for accurate damage predictions in regions with strong climate variations.

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Reliability of Meteonorm Tmy Weather Data for Predicting Wood Decay in Wood Fiber-Insulated Walls Based on WTA Guidelines

  • 会议论文

  • 发表日期：

    2025年

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  • Mansoureh Gholami,
  • Marco Larcher,
  • Alexandra Troi

摘要

This study evaluates the reliability of Meteonorm typical meteorological year (TMY) data in predicting moisture-induced damage in internally insulated walls with wood fiber in South Tyrol. It compares Meteonorm TMY data with multi-year ground station records in Silandro, Bolzano, and Santa Maddalena to assess wood degradation risks under peak moisture loads. Hygrothermal simulations in Delphin were performed for wood, stone, and brick walls. Earth Mover’s Distance (EMD) quantified discrepancies in relative humidity, temperature, and moisture content. Results indicate that Meteonorm underestimates moisture risks, particularly in S.Maddalena and Silandro. Multi-year datasets are essential for accurate damage predictions in regions with strong climate variations.