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tegration of high-speed 3D laser scanning and photogrammetry
for CFD simulation of the airflow around the building
Richard Acquah1,2*, Anna Sandak1,2, Jakub Sandak1,2
1 Innorenew CoE, Livade 6a, richard.acquah@innorenew.eu, anna.sandak@ innorenew.eu, jakub.sandak@ innorenew.eu
2 University of Primorska, FAMNIT, Koper, richard.acquah@famnit.upr.si, anna.sandak@famnit.upr.si, jakub.sandak@famnit.upr.si
* Corresponding author
The use of 3D laser scanning and photogrammetry technologies within the architectural, engineering, and construction
industry has increased significantly over the past two decades. Integration of photogrammetry with 3D laser scanning
to model buildings and their external environment create a possibility to compensate for the individual weakness of both
techniques.
Though the methodology of integrating 3D laser scanning and photogrammetry is promising and has been widely used for
several applications, its application as a basis for computational fluid dynamics (CFD) simulations has not been explored
enough. This is partly because, creation of meshes from cloud point data usable for performing CFD simulations can be
complicated.
The aim of this study is to demonstrate the application of high-speed 3D laser scanning technologies and photogrammetry
for CFD simulation of wind flow in micro-urban spaces.
The methods within this research can be classified into four main steps. The first step included setting-up and acquiring
microclimate data as well as point cloud data of the sub-urban space under study using 3D scanner and a drone for aerial
photography capture. The second step involved pre-processing of captured data. In step three, the data collected was
imported and used to perform wind flow simulations around buildings and within the case study area. The fourth step
involved post-processing and analysis of simulation results.
The results show that the workflow presented in this study is an efficient way of performing CFD simulations of existing
structures. The findings in this study also indicate that these two technologies compensate for one another. Findings from
this study also suggest that integrating these two technologies help in capturing and creating a more accurate and detailed
3d model of micro-urban spaces.
Keywords: computational fluid dynamics, wind, 3D laser scanning, photogrammetry, micro-climatic data.
Acknowledgement: The authors gratefully acknowledge the European Commission for funding the InnoRenew project
(grant agreement #739574) under the Horizon2020 Widespread-2-Teaming program, the Republic of Slovenia
(investment funding from the Republic of Slovenia and the European Union’s European Regional Development Fund)
and infrastructural ARRS program IO-0035. Part of this work was conducted under the project WoodLCC funded by
ForestValue.
REFERENCES
Rönnholm, P., Honkavaara, E., Litkey, P., Hyyppä, H. and Hyyppä, J., 2007. Integration of laser scanning and photogrammetry.
International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52), pp.355-362.
Macháček, P., 2016. Problems of 3D scanning and scanned data processing. Problems of 3D Scanning and Scanned Data
Processing (nd): n. pag. Web, 1
Zhou, Q.Y., Park, J. and Koltun, V., 2018. Open3D: A modern library for 3D data processing. arXiv preprint
arXiv:1801.09847.
6 17–18 NOVEMBER 2022 I IZOLA, SLOVENIA
for CFD simulation of the airflow around the building
Richard Acquah1,2*, Anna Sandak1,2, Jakub Sandak1,2
1 Innorenew CoE, Livade 6a, richard.acquah@innorenew.eu, anna.sandak@ innorenew.eu, jakub.sandak@ innorenew.eu
2 University of Primorska, FAMNIT, Koper, richard.acquah@famnit.upr.si, anna.sandak@famnit.upr.si, jakub.sandak@famnit.upr.si
* Corresponding author
The use of 3D laser scanning and photogrammetry technologies within the architectural, engineering, and construction
industry has increased significantly over the past two decades. Integration of photogrammetry with 3D laser scanning
to model buildings and their external environment create a possibility to compensate for the individual weakness of both
techniques.
Though the methodology of integrating 3D laser scanning and photogrammetry is promising and has been widely used for
several applications, its application as a basis for computational fluid dynamics (CFD) simulations has not been explored
enough. This is partly because, creation of meshes from cloud point data usable for performing CFD simulations can be
complicated.
The aim of this study is to demonstrate the application of high-speed 3D laser scanning technologies and photogrammetry
for CFD simulation of wind flow in micro-urban spaces.
The methods within this research can be classified into four main steps. The first step included setting-up and acquiring
microclimate data as well as point cloud data of the sub-urban space under study using 3D scanner and a drone for aerial
photography capture. The second step involved pre-processing of captured data. In step three, the data collected was
imported and used to perform wind flow simulations around buildings and within the case study area. The fourth step
involved post-processing and analysis of simulation results.
The results show that the workflow presented in this study is an efficient way of performing CFD simulations of existing
structures. The findings in this study also indicate that these two technologies compensate for one another. Findings from
this study also suggest that integrating these two technologies help in capturing and creating a more accurate and detailed
3d model of micro-urban spaces.
Keywords: computational fluid dynamics, wind, 3D laser scanning, photogrammetry, micro-climatic data.
Acknowledgement: The authors gratefully acknowledge the European Commission for funding the InnoRenew project
(grant agreement #739574) under the Horizon2020 Widespread-2-Teaming program, the Republic of Slovenia
(investment funding from the Republic of Slovenia and the European Union’s European Regional Development Fund)
and infrastructural ARRS program IO-0035. Part of this work was conducted under the project WoodLCC funded by
ForestValue.
REFERENCES
Rönnholm, P., Honkavaara, E., Litkey, P., Hyyppä, H. and Hyyppä, J., 2007. Integration of laser scanning and photogrammetry.
International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52), pp.355-362.
Macháček, P., 2016. Problems of 3D scanning and scanned data processing. Problems of 3D Scanning and Scanned Data
Processing (nd): n. pag. Web, 1
Zhou, Q.Y., Park, J. and Koltun, V., 2018. Open3D: A modern library for 3D data processing. arXiv preprint
arXiv:1801.09847.
6 17–18 NOVEMBER 2022 I IZOLA, SLOVENIA
