Small wind turbine installations have a variety of potential uses, each with unique
performance demands and operating conditions. Many applications require that the
turbine is placed in wind conditions that are not ideal for optimum operation. Better
predictive techniques can improve wind turbine performance through improved control
strategies and enhanced designs. Conventional methods of wind power design and control
utilize an average power coefficient. In this thesis, various techniques to predict the
transient power coefficient of a wind turbine are developed. The operation of a Savonius
wind turbine is accurately represented, with a new model which considers the flow
distributions to predict the changes in power output at all rotor positions. Another model
is developed that represents the dynamics of a small horizontal wind turbine, including
the effect of transient wind conditions on rotor speed and acceleration. These can
supplement current methods to determine turbine placement, selection and categorization.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OOSHDU.10155/28 |
| Date | 01 August 2009 |
| Creators | Pope, Kevin |
| Contributors | Naterer, Greg |
| Publisher | UOIT |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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