Assessing the sensitivity of stall-regulated wind turbine power to blade design using high-fidelity computational fluid dynamics
                        
                        
                            - Submitting institution
 
                            - 
                                The University of Lancaster
                                
 
                            
 
                            - Unit of assessment
 
                            - 12 - Engineering
 
                            - Output identifier
 
                            - 284237579
 
                            - Type
 
                            - D - Journal article
 
                                - DOI
 
                                - 
                                        10.1115/1.4044731
                                
 
                                - Title of journal
 
                                - Journal of Engineering for Gas Turbines and Power
 
                                - Article number
 
                                - 101022
 
                                - First page
 
                                - -
 
                                - Volume
 
                                - 141
 
                                - Issue
 
                                - 10
 
                                - ISSN
 
                                - 0742-4795
 
                                - Open access status
 
                                - Compliant
 
                            - Month of publication
 
                            - September
 
                            - Year of publication
 
                            - 2019
 
                            - URL
 
                            - 
                                    
                                        https://asmedigitalcollection.asme.org/gasturbinespower/article-abstract/141/10/101022/975413/Assessing-the-Sensitivity-of-Stall-Regulated-Wind?redirectedFrom=fulltext
                                    
                            
 
                            - Supplementary information
 
                            - 
-                            
 
                            - Request cross-referral to
 
                            - -
 
                            - Output has been delayed by COVID-19
 
                            - No
 
                            - COVID-19 affected output statement
 
                            - -
 
                            - Forensic science
 
                            - No
 
                            - Criminology
 
                            - No
 
                            - Interdisciplinary
 
                            - Yes
 
                            - Number of additional authors
 
                            - 
                                2
                            
 
                            - Research group(s)
 
                            - 
-                            
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - Study demonstrated for the first time use of the Computational Fluid Dynamics COSA technology (EPSRC-grant EP/F038542/1) for industrial decision-making. Following successful validation against turbine measurements of National Renewable Energy Laboratory, COSA was used to assess two alternative wind turbine rotor designs developed with low-fidelity engineering, enabling a considered choice of the design to be produced. This was a collaborative project with wind turbine manufacturer GaiaWind (jlandringa@yahoo.co.uk) funded by EPSRC. The article received the 2019 Best Paper Award of the ASME Wind Energy Division (herreral@asme.org); following this project, the appointed researcher undertook PhD at Politecnico di Milano in November 2019.
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -