Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Fotios Barmpas"'
Publikováno v:
Fluids, Vol 6, Iss 12, p 461 (2021)
The aim of this work is to develop an algorithm that is able to provide predictions of wind speed statistics (WSS) in renewable energy environments. The subject is clearly interesting, as predictions of storms and extreme winds are important for deci
Externí odkaz:
https://doaj.org/article/8a6a6dc565bb4b27b630ecb68912aa44
Autor:
Evangelia Fragkou, George Tsegas, Athanasios Karagkounis, Fotios Barmpas, Nicolas Moussiopoulos
Publikováno v:
Air Quality, Atmosphere & Health. 16:1-14
Smart farming (SF) has emerged as a scientific approach exploiting technology advances for the management of agricultural practices, focusing on the control of resources and chemicals used. There is still limited evidence in the scientific literature
Publikováno v:
Springer Proceedings in Complexity ISBN: 9783662637593
Springer Proceedings in Complexity
Springer Proceedings in Complexity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de8ff28a205444062ce997028dbf2031
https://doi.org/10.1007/978-3-662-63760-9_38
https://doi.org/10.1007/978-3-662-63760-9_38
Autor:
Mikko Auvinen, Klaus Ketelsen, Matthias Sühring, Siegfried Raasch, Fotios Barmpas, Antti Hellsten, Nicolas Moussiopoulos, Christoph Knigge, Björn Maronga, Georgios Tsegas
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 3185-3214 (2021)
Geoscientific Model Development
Geoscientific Model Development 14 (2021), Nr. 6
Geoscientific Model Development
Geoscientific Model Development 14 (2021), Nr. 6
Large-eddy simulation (LES) provides a physically sound approach to study complex turbulent processes within the atmospheric boundary layer including urban boundary layer flows. However, such flow problems often involve a large separation of turbulen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5892967a42df6a8b107cc13e4cd138ed
Publikováno v:
Springer Proceedings in Complexity ISBN: 9783662637593
Springer Proceedings in Complexity
Springer Proceedings in Complexity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f3d1f24a80797f58c809c1c0709d02
https://doi.org/10.1007/978-3-662-63760-9_28
https://doi.org/10.1007/978-3-662-63760-9_28
Publikováno v:
Springer Proceedings in Complexity ISBN: 9783662637593
Springer Proceedings in Complexity
Springer Proceedings in Complexity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd5ec6481760e5ed2cbf609485e50412
https://doi.org/10.1007/978-3-662-63760-9_20
https://doi.org/10.1007/978-3-662-63760-9_20
This document aims to impact the realization of the current project by recording all the necessary and available data for the thematic layers of land use and the surface parameters for the pilot areas that will be used as input data and surface bound
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14607b4bd37cc3f9116bf5e4c9f9114f
Autor:
Nicolas Moussiopoulos, Eleftherios Chourdakis, Fotios Barmpas, George Tsegas, Evangelia Fragkou
Publikováno v:
International Journal of Environment and Pollution. 70:22
Publikováno v:
Journal of Wind Engineering and Industrial Aerodynamics. 144:191-201
Interactions between different spatial and temporal scales play a major role in determining the flow structure over the urban canopy in densely built agglomerations. Aiming to address the limitations which arise as a result of the physical disparitie
Autor:
Fotios Barmpas, Antti Hellsten, Giorgios Tsegas, Siegfried Raasch, Klaus Ketelsen, Nicolas Moussiopoulos
Publikováno v:
Air Pollution Modeling and its Application XXV ISBN: 9783319576442
Large-Eddy Simulation (LES) of atmospheric boundary layer (ABL) is becoming an important research method for urban air-quality studies. Until very recently, it was impossible to include detailed structures, such as buildings in ABL LES. Nowadays, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97243bed55eaa7f5f084c61d68e327ee
https://doi.org/10.1007/978-3-319-57645-9_45
https://doi.org/10.1007/978-3-319-57645-9_45