A5086209909- Meteorological Phenomena and Simulations
- Climate variability and models
- Energy Load and Power Forecasting
- Fluid Dynamics and Turbulent Flows
- Wind Energy Research and Development
- Geophysics and Gravity Measurements
- Tropical and Extratropical Cyclones Research
- GNSS positioning and interference
- Assembly Line Balancing Optimization
- Hydrology and Sediment Transport Processes
Pennsylvania State University
2017-2025
NSF National Center for Atmospheric Research
2015-2024
Research Applications (United States)
2020-2024
Abstract Wind offshore of the northeastern United States is a vast and plentiful resource. However, wind variability needs accounting for when planning, installing, operating farms. Therefore, increased knowledge four general areas becomes vital: 1) common coastal regimes their impact on energy production, 2) regime transitions, 3) how near-surface shear varies between regimes, 4) whether numerical forecast model skill dependent. A self-organizing map (SOM) clusters hub-height (80-m) data...
Electrical system operators utilizing wind energy production need accurate power forecasts to prepare for changes in production. To understand the forecast problem and sources of uncertainty, a climatology region interest is needed. For Shagaya Renewable Energy Park Kuwait, seasonal diurnal patterns atmospheric phenomena that cause them are identified using observations from meteorological towers, surface weather stations, turbines. A setup conducive shamals increases hub-height speed by up...
Optimization of wind energy integration requires knowing the relationship between weather patterns and winds they cause. For a region with less-studied such as Middle East, climatology becomes more vital. The Shagaya Renewable Energy Park in development Kuwait experiences regional regimes that affect power production. Weather Research Forecasting (WRF) model output allowed investigation into most likely to impact Park. self-organizing maps (SOMs) machine-learning method clustered WRF six...