Evidence suggests that institutional factors beyond physical wind resources can influence the deployment of wind energy systems.
The CPS approach combines the accuracy of physical wind tunnel testing with the ability to efficiently explore a search space using numerical optimization algorithms.
By means of both physical wind tunnel measurement and simulations using Computational Fluid Dynamics (CFD), we firstly studied the dispersion characteristics around a square-sectioned building.
By virtue of advancements in high speed computing and parallel processing, the CFD technique is a powerful augmentation of the physical wind tunnel, which together enables us to solve complex wind flow problems.
Although extensively used in other applications, however, the application of CFD methods requires additional development, further testing and verification, proper modeling conditions and additional validation to gain acceptance as an alternative to physical wind tunnel tests.
Greatly compounding these physical wind dependencies is the expectation that failure probability will increase sharply with wind speed in an extreme value statistical dependency, such as a reverse Weibull distribution.
