guest ::
Predicting Wind Turbine Wake Breakdown Using a Free Vortex Wake Code
; ; ; ; ; ;
In
AIAA journal 58(11), Seiten/Artikel-Nr.:4672-4685
2020
Online
DOI: 10.2514/1.J058308
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 380
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85095118517
WOS Core Collection: WOS:000605980000021
Interne Identnummern
RWTH-2021-01610
Datensatz-ID: 812024
Beteiligte Länder
Germany
Related:
Contribution to a book/Contribution to a conference proceedings
Predicting Wind Turbine Wake Breakdown Using a Free Vortex Wake Code
AIAA Scitech 2019 Forum : 7-11 January 2019, San Diego, California
AIAA Scitech 2019 Forum, San Diego, CASan Diego, CA, USA, 7 Jan 2019 - 11 Jan 2019
Reston, Virginia : American Institute of Aeronautics and Astronautics (2019) [10.2514/6.2019-2080]
BibTeX |
EndNote:
XML,
Text |
RIS
; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; IF < 5 ; JCR ; Nationallizenz
; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
|
The record appears in these collections: |