The commercial wind industry has maintained an unusually high degree of standardization in turbine technology for going on 25 years. Wind energy experts usually attribute this convergence to the technical superiority of the now standard 3-blade upwind design, often referred to as the “Danish concept,” or to a grassroots, “bottom up” development path that allowed Danish manufacturers to build the world's most reliable turbines in the 1980s. This new history of the modern wind industry, which focuses on the evolution of turbine design after 1970, challenges both of these explanations.
Power systems are very dynamic in nature, and it is important for power systems to be simulated and modeled accurately for optimal performance of the system. Historically, load modeling coupled with forecasting has always been important for power system operation. In current times with the onset of the deregulation of the energy industries, load modeling and forecasting have become even more important.
This will be a review of the highlights of the 4th year of our IGERT program and a showing of a video of the fieldtrip to the Bahamas in March by IGERT students enrolled in the WIND ENERGY: Environmental Assessment, Monitoring & Regulatory Requirements course.
"Modeling Offshore Wind Farm Siting as a Portfolio with Economic and Ecological Objectives"
CANCELLED DUE TO ILLNESS.
Energy production and distribution can present many hurdles for small-island developing states. The high costs associated with electricity generation, antiquated production facilities, and unreliable distribution grids can all erode the potential for economic growth and sustainable development. This rings very true for the Commonwealth of The Bahamas – a 470,000 km2 archipelago of islands in North
Surface winds over the world's oceans are routinely monitored by
low-Earth-orbiting satellites. The satellite instruments used are
either scatterometers, which are radars that measure the echo from the
surface, or radiometers, which measure the microwave radiation (i.e. heat)
emitted by the surface. This talk will provide an overview of these
technologies, as well as describe ongoing work by the Microwave Remote
Sensing Laboratory to study wind signatures in hurricanes and
high-latitude winter storms from aircraft.
In this talk I will present two machine learning approaches for wind farm planning. First I would present a multivariate copula based approach to form predictive distribution for long term site assessment.
Coastal Marine Spatial Planning (CMSP) requires the ocean be divided into units, and that multiple stakeholders provide input towards this end. Spatial ecology of single and multiple species can help guide biological division of ecosystems; however these decisions require the assumption of a closed system despite the knowledge that all ecosystems are open to varying degrees. Examples will be given that illustrate these challenges from ongoing work.