TY - JOUR
T1 - Static downscaling of mesoscale wind conditions into an urban canopy layer by a CFD microscale model
AU - Ricci, A.
AU - Burlando, M.
AU - Repetto, M.P.
AU - Blocken, B.
N1 - Funding Information:
The authors gratefully acknowledge the Port Authority of Livorno for the use of data obtained by its anemometric monitoring network. The LiDAR LI51 was funded by the European Cross-border Programme Italy/France “Maritime” 2007–2013 through the “Wind, Ports, and Sea” (CUP: B82F13000100005) project. The anemometric campaign in Livorno was carried out and stations A1 and A2 purchased in the framework of Project “Wind monitoring, simulation and forecasting for the smart management and safety of port, urban and territorial systems”, funded by Compagnia di San Paolo (grant number 2015.0333 , ID ROL: 9820). Alessio Ricci is a postdoctoral fellow of the Research Foundation – Flanders (project FWO 1256822N ) and its financial support is gratefully acknowledged.
PY - 2022/11
Y1 - 2022/11
N2 - Wind flows inside complex urban environments are determined by the mutual effect of large-scale (i.e., wind above the urban boundary layer, UBL) and local-scale forcing (i.e. constraints into the urban canopy layer, UCL). Usually, when the wind field above the UBL is known (e.g. by on-site measurements, OsM), high-resolution microscale models (e.g. CFD) are used to predict the wind inside the UCL. However, standard procedures to map the wind field from an undisturbed position to the UCL are not available yet and several technical aspects need to be investigated. A downscaling method, so-called “static downscaling”, of the wind from mesoscale to microscale is innovatively adopted here to evaluate the performance of two CFD microscale models when predicting the flow in a UCL. The methodology is based on OsM transferred into the UCL by means of so-called “transfer coefficients” calculated by 3D steady RANS simulations for two different spatial extents of the explicitly modeled urban texture (Case A and B). It is discussed in detail the way the transfer coefficients work, how they can be used to understand the correlations between wind above and within the UCL as well as to identify the major limitations of the RANS approach. Results are discussed in qualitative terms and quantified using standard metrics. It is also shown that too high flow rates can occur at the entrance of the waterway of the area of interest and in the outer part of the explicitly modeled urban area, which can be mitigated by “buffer zones”.
AB - Wind flows inside complex urban environments are determined by the mutual effect of large-scale (i.e., wind above the urban boundary layer, UBL) and local-scale forcing (i.e. constraints into the urban canopy layer, UCL). Usually, when the wind field above the UBL is known (e.g. by on-site measurements, OsM), high-resolution microscale models (e.g. CFD) are used to predict the wind inside the UCL. However, standard procedures to map the wind field from an undisturbed position to the UCL are not available yet and several technical aspects need to be investigated. A downscaling method, so-called “static downscaling”, of the wind from mesoscale to microscale is innovatively adopted here to evaluate the performance of two CFD microscale models when predicting the flow in a UCL. The methodology is based on OsM transferred into the UCL by means of so-called “transfer coefficients” calculated by 3D steady RANS simulations for two different spatial extents of the explicitly modeled urban texture (Case A and B). It is discussed in detail the way the transfer coefficients work, how they can be used to understand the correlations between wind above and within the UCL as well as to identify the major limitations of the RANS approach. Results are discussed in qualitative terms and quantified using standard metrics. It is also shown that too high flow rates can occur at the entrance of the waterway of the area of interest and in the outer part of the explicitly modeled urban area, which can be mitigated by “buffer zones”.
KW - Complex urban environment
KW - On-site measurements
KW - RANS simulations
KW - Static downscaling method
KW - Transfer coefficients
KW - Urban canopy layer
UR - http://www.scopus.com/inward/record.url?scp=85139389106&partnerID=8YFLogxK
U2 - 10.1016/j.buildenv.2022.109626
DO - 10.1016/j.buildenv.2022.109626
M3 - Article
AN - SCOPUS:85139389106
SN - 0360-1323
VL - 225
JO - Building and Environment
JF - Building and Environment
M1 - 109626
ER -