Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/55236
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2020-05-03T20:09:52Z | - |
dc.date.available | 2020-05-03T20:09:52Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Agius, A. (2019). Determining site wind conditions based on a turbine's power output (Master’s dissertation). | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/55236 | - |
dc.description | M.SC.SUS.ENERGY | en_GB |
dc.description.abstract | When conducting a site evaluation of an installed wind turbine it is necessary to analyse site-specific wind measurements to gauge the turbine site's resource and electricity production potential. These measurements would need to be correlated to a long-term wind records collected from the vicinity, to conduct a reliable long-term assessment. However, wind measurements for the turbine site may be unavailable. | en_GB |
dc.language.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Wind turbines | en_GB |
dc.subject | Regression analysis | en_GB |
dc.subject | Wind power | en_GB |
dc.title | Determining site wind conditions based on a turbine's power output | en_GB |
dc.type | masterThesis | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.publisher.institution | University of Malta | en_GB |
dc.publisher.department | Institute for Sustainable Energy | en_GB |
dc.description.reviewed | N/A | en_GB |
dc.contributor.creator | Agius, Andrew | - |
Appears in Collections: | Dissertations - InsSE - 2019 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
19MSSE001.pdf Restricted Access | 3.65 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.