Beyond Averages: Predicting Façade Algae Risk Through Coupled CFD-HAM Wetting and Drying Patterns

Publication date

2025-10-23

Authors

Vanderschelden, Bruno
Cnudde, VeerleORCID 0000-0002-3269-5914ISNI 0000000351067873
De Kock, Tim
Van Den Bossche, Nathan

Editors

Branco, Jorge M.
Lima, Daniel F.
Moscoso, Yina
Silva, Sandra M.

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

cc_by

Abstract

Heat, air, and moisture (HAM) models are essential tools for understanding moisture accumulation mechanisms and assessing renovation measures in building restoration projects, particularly for heritage structures. Among the primary factors affecting hygrothermal performance, wind-driven rain (WDR) is the most significant source of moisture in Belgium, while evaporation serves as the dominant drying mechanism. However, traditional HAM models often simplify these processes by applying uniform values for WDR and the convective heat transfer coefficient (CHTC) across the façade, neglecting their spatial and temporal variability. This limitation can lead to inaccuracies in predicting moisture-related risks and surface degradation. In this study, a coupled computational fluid dynamics (CFD) and HAM model is employed to enhance the accuracy of WDR and CHTC representation. steady Reynolds-averaged Navier-Stokes (RANS) equations and Eulerian multiphase CFD simulations are used to account for turbulent raindrop dispersion and spatial variations in wind flow. The coupled model is applied to a cubic low-rise building located in a suburban coastal region of Belgium. At this site, local climate data including wind speed, wind direction, temperature, humidity, and rainfall were collected. Additionally, WDR was measured at six points on the south façade to facilitate comparison with the simulation results. The findings highlight the limitations of conventional approaches, which may underestimate critical rain loads while overestimating drying potential. The improved model captures the intricate interplay between WDR exposure and drying mechanisms, providing more accurate predictions of surface degradation risks such as frost damage, salt crystallisation, and algae growth. This study underscores the importance of spatially resolved modelling in advancing hygrothermal performance assessments and guiding effective renovation strategies for building durability.

Keywords

CHTC, coupled CFD-HAM, drying, hygrothermal assessment, performance risks, WDR, wetting, Taverne, Civil and Structural Engineering, SDG 14 - Life Below Water

Citation

Vanderschelden, B, Cnudde, V, De Kock, T & Van Den Bossche, N 2025, Beyond Averages : Predicting Façade Algae Risk Through Coupled CFD-HAM Wetting and Drying Patterns. in J M Branco, D F Lima, Y Moscoso & S M Silva (eds), Moisture in Buildings - Proceedings of ICMB25. Lecture Notes in Civil Engineering, vol. 776 LNCE, Springer, pp. 459-470, International Conference on Moisture in Buildings, ICMB 2025, Guimarães, Portugal, 23/10/25. https://doi.org/10.1007/978-3-032-09054-6_37, conference