Full metadata
Title
Numerical simulation of environmental flow over urban landscape for applications to renewable energy
Description
Development of renewable energy solutions has become a major interest among environmental organizations and governments around the world due to an increase in energy consumption and global warming. One fast growing renewable energy solution is the application of wind energy in cities. To qualitative and quantitative predict wind turbine performance in urban areas, CFD simulation is performed on real-life urban geometry and wind velocity profiles are evaluated. Two geometries in Arizona is selected in this thesis to demonstrate the influence of building heights; one of the simulation models, ASU campus, is relatively low rise and without significant tall buildings; the other model, the downtown phoenix model, are high-rise and with greater building height difference. The content of this thesis focuses on using RANS computational fluid dynamics approach to simulate wind acceleration phenomenon in two complex geometries, ASU campus and Phoenix downtown model. Additionally, acceleration ratio and locations are predicted, the results are then used to calculate the best location for small wind turbine installments.
Date Created
2015
Contributors
- Ying, Xiaoyan (Author)
- Huang, Huei-Ping (Thesis advisor)
- Peet, Yulia (Committee member)
- Herrmann, Marcus (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
xii, 60 pages : color illustrations
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.30036
Statement of Responsibility
by Xiaoyan Ying
Description Source
Viewed on August 5, 2015
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2015
Note type
thesis
Includes bibliographical references (pages 55-57)
Note type
bibliography
Field of study: Mechanical engineering
System Created
- 2015-06-01 08:19:04
System Modified
- 2021-08-30 01:28:16
- 2 years 8 months ago
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