dc.contributor.advisor | Birkelund, Yngve | |
dc.contributor.author | Osunlola, Oluwatimilehin Israel | |
dc.date.accessioned | 2024-07-03T05:54:16Z | |
dc.date.available | 2024-07-03T05:54:16Z | |
dc.date.issued | 2024-06-07 | en |
dc.description.abstract | This thesis presents a comprehensive wind resource assessment for the expansion of the Fakken wind park in Norway, leveraging Light Detection and Ranging (LiDAR) technology. The measurement campaign conducted from December 2022 to June 2023, aims to detail LiDAR measurement methodologies, analyze collected data, and estimate wind energy production. | en_US |
dc.identifier.uri | https://hdl.handle.net/10037/34026 | |
dc.language.iso | eng | en_US |
dc.publisher | UiT Norges arktiske universitet | no |
dc.publisher | UiT The Arctic University of Norway | en |
dc.rights.holder | Copyright 2024 The Author(s) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0 | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | en_US |
dc.subject.courseID | FYS-3900 | |
dc.subject | Light Detection and Ranging (LiDAR) | en_US |
dc.title | Wind resource assessment using LiDAR | en_US |
dc.type | Mastergradsoppgave | no |
dc.type | Master thesis | en |