Please use this identifier to cite or link to this item:
Title: Atmospheric wind characterisation for power generation
Authors: Tieo, Jing Jin
Keywords: Science::Physics::Meteorology and climatology
Engineering::Mechanical engineering::Alternative, renewable energy sources
Issue Date: 2019
Publisher: Nanyang Technological University
Source: Tieo, J. J. (2019). Atmospheric wind characterisation for power generation. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: In this dissertation, two exploratory studies on the statistical characterisation of atmospheric winds in the deep tropics are presented. The first is an investigation on the variance of the upper-air winds in a near-equator monsoon region using radiosonde data. An unconventional vector-tensor method was used that allows the directional characteristics of the variance to be quantified. It was found that the size and the anisotropy of the variance vary with height whereas the preferred axis of the variance tends to align with the direction of the mean wind. In the second study, the boundary-layer wind profile on an offshore island of Singapore was investigated. It was found that the observed wind profiles deviated characteristically from what can be predicted by using the traditional power-law wind profile model. Two alternative wind profile models were then proposed that gave better predictions. It was thus concluded that the tropical wind characteristics can deviate considerably from well-known established models.
DOI: 10.32657/10356/138901
Rights: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IGS Theses

Files in This Item:
File Description SizeFormat 
thesis_revised2.pdf4.85 MBAdobe PDFThumbnail

Page view(s) 50

Updated on Jan 29, 2023

Download(s) 20

Updated on Jan 29, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.