Wind Energy Resource Assessment and Turbine Optimization in New Zealand
Abstract/Contents
- Abstract
- A full coverage 5x5 km spatial resolution wind resource map of New Zealand was derived from mesoscale weather modeling (MM5) which used coarse global meteorological data as initial and boundary conditions. Here, we used the MM5 wind data and meteorological station data to develop and validate a comprehensive wind energy resource map of New Zealand to identify prospective sites for commercial wind energy projects. The development of a detailed wind-resource assessment map and reliable estimates of daily, seasonal and yearly variations in wind speed is an important step in accelerating the deployment of wind energy. In total, 14 months of hourly weather data including wind speed and wind direction were simulated encompassing January 2007 to February 2008. In addition, we detailed the techniques and assumptions used to refine, quantify and optimize regional scale turbine placement at the under-construction West Wind development, based on primary wind flow directions.
Description
| Type of resource | text |
|---|---|
| Date created | June 2009 |
Creators/Contributors
| Author | Leaver, Luke |
|---|---|
| Primary advisor | Gerritsen, Margot |
| Degree granting institution | Stanford University, Department of Energy Resources Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Genre | Thesis |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Leaver, Luke. (2009). Wind Energy Resource Assessment and Turbine Optimization in New Zealand. Stanford Digital Repository. Available at: https://purl.stanford.edu/td901kx5712
Collection
Master's Theses, Doerr School of Sustainability
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- brannerlibrary@stanford.edu
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