Abstract
Preserving the complex structures of our cultural heritage buildings is a primary commitment, as they embody the cornerstone of our history and our common identity. The impact of weather conditions on these buildings is particularly evident. To mitigate the impact of climatic phenomena, innovative solutions utilising advanced technological methods are imperative. This paper proposes a new approach to this complex preservation challenge without compromising historical integrity. This methodology aims to predict wind behaviour and delineate distinct risk exposure zones within cultural buildings and structures using computational fluid dynamics (CFD) models. A case study on the Byzantine-era castle of Mytilene, Greece illustrates the practical application of this approach along with insights crucial for targeted conservation strategies. Concluding, the final section highlights the effectiveness of the proposed methodology, offering prospects for future research and practical applications in heritage conservation.
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References
Lou, S., et al.: Building performance under untypical weather conditions: a 40-year study of Hong Kong. Buildings 13(10), 2587 (2023)
Huerto-Cardenas, H.E., et al.: Effects of climate change on the future of heritage buildings: case study and applied methodology. Climate 9(8), 132 (2021)
Coelho, G.B.A., Silva, H.E., Henriques, F.M.A.: Impact of climate change in cultural heritage: from energy consumption to artefacts’ conservation and building rehabilitation. Energy Build. 224, 110250 (2020)
Hack, H.R.G.K.: Weathering, erosion, and susceptibility to weathering. In: Kanji, M., He, M., Ribeiro e Sousa, L. (eds.) Soft Rock Mechanics and Engineering, pp. 291–333. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-29477-9_11
Richards, J., Viles, H., Guo, Q.: The importance of wind as a driver of earthen heritage deterioration in dryland environments. Geomorphology 369, 107363 (2020)
Lacasse, M.A., Gaur, A., Moore, T.V.: Durability and climate change-implications for service life prediction and the maintainability of buildings. Buildings 10(3), 53 (2020)
Pereira, L.D., Tavares, V., Soares, N.: Up-to-date challenges for the conservation, rehabilitation and energy retrofitting of higher education cultural heritage buildings. Sustainability 13(4), 2061 (2021)
Colace, F., et al.: An IoT-based framework to protect cultural heritage buildings. In: 2021 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE (2021)
Pereira, L.D., Saraiva, N.B., Soares, N.: Hygrothermal behavior of cultural heritage buildings and climate change: status and main challenges. Appl. Sci. 13(6), 3445 (2023)
Huerto-Cardenas, H.E., Aste, N., Del Pero, C., Della Torre, S., Leonforte, F.: Effects of climate change on the future of heritage buildings: case study and applied methodology. Climate 9(8), 132 (2021). https://doi.org/10.3390/cli9080132
Mela, I., Cao, Y.: The impact of rainfall on the conservation of traditional Nigerian Heritage Buildings: a case study of the Museum of Traditional Nigerian Architecture (MOTNA), Jos. Br. J. Environ. Sci. 11(1), 1–33 (2022)
Jigyasu, R., Chmutina, K. (eds.): Routledge Handbook on Cultural Heritage and Disaster Risk Management. Taylor & Francis, London (2023)
Xystouris, K., et al.: The effect of climate change on weathering: evidences from heritage buildings under subtropical conditions. J. Sustain. Archit. Civil Eng. 29(2), 232–245 (2021)
Pouryousefzadeh, S., Akbarzadeh, R., Pouryousefzadeh, E.: Innovative technologies in revitalizing the cultural heritages in smart cities, opportunities and challenges. In: 2nd International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS), Tangerang, Indonesia 2021, pp. 19–24 (2021). https://doi.org/10.1109/ICON-SONICS53103.2021.9616997
Jara, A.J., Sun, Y., Song, H., Bie, R., Genooud, D., Bocchi, Y.: Internet of Things for cultural heritage of smart cities and smart regions. In: 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, Gwangju, Korea (South), pp. 668–675 (2015). https://doi.org/10.1109/WAINA.2015.169
Šulyová, D., Vodák, J.: The impact of cultural aspects on building the smart city approach: managing diversity in Europe (London), North America (New York) and Asia (Singapore). Sustainability 12(22), 9463 (2020)
Kyrtsoglou, A., et al.: Missing data imputation and meta-analysis on correlation of spatio-temporal weather series data. In: 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE (2021)
Dimri, T., Ahmad, S., Sharif, M.: Time series analysis of climate variables using seasonal ARIMA approach. J. Earth Syst. Sci. 129, 1–16 (2020)
Dimara, A., et al.: MLP for spatio-temporal traffic volume forecasting. In: 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). IEEE (2021)
Al Majed, A., Lacy, F., Ismail, Y.: Smart detection under different weather conditions. Int. J. Comput. Digit. Syst. 9(5), 767–782 (2020)
Saini, H., et al.: Arduino based automatic wireless weather station with remote graphical application and alerts. In: 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN). IEEE (2016)
Franke, J., Hellsten, A., Schlünzen, H., Carissimo, B.: Best practice guideline for the CFD simulation of flows in the urban environment. In: Cost 732: Quality Assurance and Improvement of Microscale Meteorological Models (2007)
Tominaga, Y., et al.: AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. J. Wind Eng. Ind. Aerodyn. 96(10–11), 1749–1761 (2008)
VDI 3783 Part 9: Environmental meteorology. Prognostic microscale wind field models. Evaluation for flow around buildings and obstacles (2017)
Karambinis, M.: Gladiatorial and beast-fight monuments from Mytilene. Am. J. Archaeol. 124(1), 73–103 (2020)
OpenWeather Weather Forecasts, Nowcasts and History in a Fast and Elegant Way. https://openweathermap.org/. Accessed 20 Jan 2024
Richards, P.J., Hoxey, R.P.: Appropriate boundary conditions for computational wind engineering models using the k-\(\epsilon \) turbulence model. J. Wind Eng. Ind. Aerodyn. 46–47, 145–153 (1993)
Parente, A., Gorlé, C., van Beeck, J., Benocci, C.: Improved k-\(\epsilon \) model and wall function formulation for the RANS simulation of ABL flows. J. Wind Eng. Ind. Aerodyn. 99(4), 267–278 (2011)
Abu-Zidan, Y., Mendis, P., Gunawardena, T.: Impact of atmospheric boundary layer inhomogeneity in CFD simulations of tall buildings. Heliyon J. 6(7), e04274 (2020)
Orszag, S.A., et al.: Renormalization group modeling and turbulence simulations. In: Near-Wall Turbulent Flows, p. 1031. Elsevier (1993)
Launder, B.E., Spalding, D.B.: The numerical computation of turbulent flows. Comput. Methods Appl. Mech. Eng. 3, 269–289 (1974)
Acknowledgements
This work is part of the Digital Twin Cities Centre supported by Sweden’s Innovation Agency Vinnova [grant number 2019-00041]; GATE project supported by the Horizon 2020 WIDESPREAD-2018-2020 TEAMING Phase 2 programme under Grant Agreement No. 857155; enRichMyData project supported by the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101070284; FLEdge project, Agreement No. KP-06-D002/5, funded by the European partnership Driving Urban Transitions (DUT), co-funded by the European Commission.
The authors gratefully acknowledge the support of the Digital Twin Cities Centre supported by Sweden’s Innovation Agency Vinnova [grant number 2019-00041].
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Dimara, A. et al. (2024). Non-intrusive Weather Analysis for Sustainable Preservation in Cultural Heritage Buildings. In: Maglogiannis, I., Iliadis, L., Karydis, I., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops. AIAI 2024. IFIP Advances in Information and Communication Technology, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-031-63227-3_30
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