We focus on developing advanced analytical insights for wind resource characterization, combining long-term meteorological analysis, mesoscale-to-microscale downscaling, and integration of on-site measurement data. Our work includes CFD studies of complex terrain using high-resolution topography and boundary-layer physics to better understand wind flow behavior under varying conditions.
We also examine turbulence intensity, wind shear, stability effects, and related atmospheric parameters to support conceptual turbine siting studies and early-stage engineering evaluations. In addition, we explore methods for estimating energy production through assessments of flow patterns, wake interactions, and uncertainty factors, helping build a deeper technical foundation for wind resource understanding and project planning.
We explore analytical and modeling approaches for understanding the performance behavior of utility-scale solar PV systems. Our work includes the study of high-resolution irradiance patterns using satellite datasets, ground measurements, and terrain-informed solar modeling to characterize spatial and temporal variability.
In addition, we investigate methods for analyzing SCADA datasets to better understand trends related to system behavior, environmental influences, and potential indicators of performance deviation. These studies rely on statistical modeling, time-series analysis, and pattern-recognition techniques to enhance interpretability rather than provide operational diagnostics.
We also develop research-oriented forecasting models that incorporate weather predictions, historical generation data, and machine learning algorithms to examine short-term and long-term variability in solar output. These modeling efforts aim to improve conceptual understanding of solar resource dynamics and support high-level planning and analytical studies within the renewable energy sector.
We focus on analytical and modeling approaches that support the conceptual understanding of hydropower systems. Our work includes hydrological assessment using tools such as QSWAT+ to examine watershed behavior, simulate runoff generation, and evaluate seasonal flow patterns—providing insight into the factors that influence hydropower potential at a regional and site-specific scale.
We also conduct hydraulic and flow studies using HEC-RAS and CFD techniques to explore water surface profiles, velocity fields, sediment dynamics, and flood behavior under varying operational and environmental conditions. These modeling efforts help improve understanding of river system responses and inform early-stage planning and technical evaluations.
Additionally, we assess turbine–flow interactions at a conceptual level to study how hydrological characteristics align with different turbine technologies. We examine the hydraulic behavior of intakes, conveyance structures, and spillway concepts through numerical simulations, with the goal of supporting preliminary design considerations and system-level evaluations.
Across these studies, our focus remains on developing deeper technical insight into hydropower system behavior rather than delivering full engineering design services, enabling more informed decision-making during the early phases of project exploration.
We explore modeling and analytical methods for marine renewable energy systems, including wave energy converters (WECs) and tidal turbines. Our work focuses on high-fidelity simulations that investigate device behavior under realistic ocean conditions, including irregular waves, tidal currents, and multi-directional environmental loads.
Using numerical tools such as potential-flow solvers, CFD, and time-domain dynamic models, we study hydrodynamic response, energy capture characteristics, and structural behavior of floating and fixed marine systems. These analyses provide deeper insight into the physical interactions between devices and the marine environment.
We also examine mooring dynamics and stability considerations at a conceptual level to understand how different environmental conditions may influence system behavior and survivability. Our research-oriented approach supports feasibility assessments and early-stage technical evaluations for offshore energy concepts across diverse marine environments.