Wind Resource Assessment Using the Numerical Weather Prediction Model to Identify the Offshore Wind Resource in the Philippines

Uy, Sherdon (2020) Wind Resource Assessment Using the Numerical Weather Prediction Model to Identify the Offshore Wind Resource in the Philippines. Doctoral thesis, Birmingham City University.

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Abstract

Developing nations need to build their economies in order to reach the millennium goals of the world. Energy is an essential resource for economic development but the conventional fuel at present is not a sustainable energy source. Thus, these countries must seek for renewable energy sources so that they can develop in a sustainable manner. Wind energy is found to be a potential source for power generation especially, the offshore locations. There are many developing countries in the low-latitude areas that have open waters close to them. So, offshore wind energy may be a possible source for power but there are limited data available to make a reliable wind resource assessment (WRA). This study aims to develop a wind characterisation methodthat can be useful for coastal and small island areas with no or few in-situ wind observations. The study area is focused in Palawan Province of the Philippines because it has similar characteristics as small island nations and coastal areas in the low-latitude regions. The research found that numerical weather prediction is an alternative for in-situ wind measurements for WRA. A technique that involves coupling mesoscale model to microscale model is employed in this work in order to produce wind maps. The results found that a combination of mesoscale model and microscale model can be a good method for wind profiling areas without or few wind observations. The mesoscale model is deemed sufficient for open water areas while coastal areas are better represented by microscale models especially the low wind speed conditions.

Item Type: Thesis (Doctoral)
Date: 22 July 2020
Uncontrolled Keywords: Wind Energy, Wind Resource Assessment, Offshore Wind Development
Subjects: H800 Chemical, Process and Energy Engineering
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
REF UoA Output Collections > Doctoral Theses Collection
Depositing User: Kip Darling
Date Deposited: 31 Aug 2021 14:42
Last Modified: 31 Aug 2021 14:42
URI: http://www.open-access.bcu.ac.uk/id/eprint/12130

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