Investigating whether the turbulence model from existing small wind turbine standards is valid for rooftop sites
Hossain, Muhammad (2011) Investigating whether the turbulence model from existing small wind turbine standards is valid for rooftop sites. Masters by Coursework thesis, Murdoch University.
|PDF - Whole Thesis |
Download (3626kB) | Preview
The wind energy industry has developed considerably in recent years with regard to large scale wind turbines. However, the small wind turbines (SWTs) are still underdeveloped. The classification of SWTs comes under the standard IEC6140001-2. When a small wind turbine is installed in an urban environment, it is exposed to complex environmental conditions, where high “surface roughness” in urban terrain due to buildings, street furniture and various obstacles causes a highly turbulent wind. This results in fatigue developing in turbine structures and poor performance. Turbulence is therefore a very important factor in small wind turbine functioning. But, in standards, turbulence intensity is considered a constant value for all wind classes for small wind turbines.
To assess the validity of the standard normal turbulence model (NTM) for SWTs for all sites, data from an open space and an urban area are analysed and compared. The data were collected from Ostergarnsholm Island in Sweden, as the open space, and the rooftop of a Bunnings warehouse in Port Kennedy as the urban area. The results for these two areas are compared with the standard NTM.
The outcome of the comparative analysis is that the rooftop areas are subject to greater turbulence intensity than that prescribed in the standard, and the open space turbulence intensity, on the other hand, is lower than the standard. Therefore, wider investigation and research are required in order to revise and improve the standard wind classes for small wind turbines.
|Publication Type:||Thesis (Masters by Coursework)|
|Murdoch Affiliation:||School of Engineering and Energy|
|Item Control Page|
Downloads per month over past year