Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ásdís Helgadóttir"'
Publikováno v:
Fluids, Vol 9, Iss 4, p 84 (2024)
This study presents a novel approach to using a gated recurrent unit (GRU) model, a deep neural network, to predict turbulent flows in a Lagrangian framework. The emerging velocity field is predicted based on experimental data from a strained turbule
Externí odkaz:
https://doaj.org/article/6eadbcce9cbd4b0a853fb639370a94b0
Publikováno v:
Fluids, Vol 7, Iss 11, p 344 (2022)
The subject of this study presents an employed method in deep learning to create a model and predict the following period of turbulent flow velocity. The applied data in this study are extracted datasets from simulated turbulent flow in the laborator
Externí odkaz:
https://doaj.org/article/b45adddb291f448cb1d2b244c934c42f
Publikováno v:
International Journal of Differential Equations, Vol 2018 (2018)
We analyze the accuracy of two numerical methods for the variable coefficient Poisson equation with discontinuities at an irregular interface. Solving the Poisson equation with discontinuities at an irregular interface is an essential part of solving
Externí odkaz:
https://doaj.org/article/a32c6515826a49059503d47b60e059ed
Publikováno v:
Applied Sciences, Vol 8, Iss 10, p 1865 (2018)
Swirling flow has been shown to increase heat transfer in heat exchangers. However, producing swirl while not presenting a severe pressure drop can be a challenge. In this paper, a desired shape of guidance blades for laminar swirl flow is determined
Externí odkaz:
https://doaj.org/article/6f3ca427801241549be6f4921a52ec57
This study aimed to apply empirical data to assess wind energy production at the Búrfell site in Iceland based on the E44 turbine model. The empirical data are 5 years of recordings at the site location by the Iceland Metrological office. The wind s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12fb85bc9198614259047c2d9cd82173
https://hdl.handle.net/20.500.11815/4358
https://hdl.handle.net/20.500.11815/4358
Autor:
Kristján Jónasson, Bjarni Bessason, Ásdís Helgadóttir, Pall Einarsson, Gunnar B Gudmundsson, Bryndís Brandsdóttir, Kristín S. Vogfjörd, Kristín Jónsdóttir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dcada62ea0af9e6fddb8967edc1765b
https://doi.org/10.1002/essoar.10505713.1
https://doi.org/10.1002/essoar.10505713.1
Publikováno v:
Thermo, Vol 2, Iss 1, Pp 39-55 (2022)
This paper evaluates the photovoltaic (PV) module operating temperature’s relation to efficiency via a numerical heat transfer model. The literature reports that higher PV module operating temperatures impact PV module efficiency. There are dozens
Externí odkaz:
https://doaj.org/article/f1fc7890107446638fbabbaf90213b1c