This dissertation has made a series of incremental contributions to several as- pects of wind engineering. Some of the work represents the initial step towards the development of a new technique whose applicability can be further ex- panded in future analyses. Other parts advance our knowledge in the field and can serve as guidance to further advances. The results obtained and the
methods developed are thoroughly documented and can be used to reproduce or build upon the work conducted. The following sections elaborate on possible directions for future work.
8.2.1
Wind Resource Assessment
The uncertainty in the developed offshore wind atlas can be further reduced by considering the atmospheric stability when processing satellite-derived equiv- alent neutral winds and extrapolating to hub heights. A recent effort in this direction was undertaken [31] but more work needs to be done so that wind re- source assessment efforts can take full advantage of the available observations.
8.2.2
Wind Turbine Wake Modeling
The proposed SWS model can be expanded to serve as a mid-fidelity alterna- tive to LES when accurate predictions of loads and power are sought. Future work should focus on generalizing the model to different atmospheric condi- tions and on investigating its dependence on wind turbine specific characteris- tics. This requires more LES to be run for a variety of atmospheric conditions and different inflow profiles. The wake shape perturbation spectra are expected to change, along with the probability distribution functions used to randomly sample the phases at low frequencies. The relative contribution of meandering to the wake edge statistics will also be explored and is expected to increase un- der conditions of higher turbulence intensity. It is also important to validate the aeroelastic simulations of loads and power relative to high-frequency turbine
measurements.
8.2.3
Wind Turbine Wake Measurements
To elaborate on the work presented and obtain more complete estimates of the uncertainty in velocity retrievals and wake characterization from scanning lidar measurements, future work should consider the effect of the lidar weighting function relative to the temporal lag across points. Furthermore, the analysis conducted herein can be generalized if repeated for LES under different atmo- spheric stability conditions.
8.2.4
Meso-Micro Model Coupling
From the work presented herein it was found that for multi-day real case simu- lations the present question is whether to run the gray zone in LES mode or with a parameterization at all, and not whether to even consider scale-aware parame- terizations which are still in early development phases. Therefore, more work is needed to adapt traditional parameterizations and generalize them to a variety of atmospheric conditions so that realistic predictions of shear and turbulence can be obtained when non-idealized simulations are conducted.
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