Results 61 to 70 of about 13,904 (254)
Advancing Wake Loss Prediction in Wind Farms through Analytical Machine Learning Hybridization [PDF]
Wake models are still important for wind farm evaluation because they are computationally efficient when predicting turbine interactions and performance of the wind farm layout.
Talbi Bouchra +2 more
doaj +1 more source
Comparison of modular analytical wake models to the Lillgrund wind plant
Efficient and accurate wake models are required for wind plant performance modeling and the suite of engineering processes that support wind plant layout, control, and monitoring. Although many analytical and engineering wake models with low computational costs have been proposed, their ability to represent the power production of large wind plants in ...
Nicholas Hamilton +4 more
openaire +2 more sources
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
In response to the critical demand for improved characterization of atmospheric stability effects in wind turbine wake prediction, this study proposes and systematically validates a new analytical wake model that incorporates atmospheric stability ...
Xiangyan Chen +5 more
doaj +1 more source
In this study, the new computational fluid dynamics (CFD) porous disk (PD) wake model was proposed in order to accurately predict the time-averaged wind speed deficits in the wind turbine wake region formed on the downstream side by the 2-MW wind turbine
Takanori Uchida +6 more
doaj +1 more source
Wind turbine wakes can be predicted somewhat accurately with mesoscale numerical models, such as the Weather Research and Forecast (WRF) model, via a wind farm parameterization (WFP) that treats the effects of the wakes, which are sub‐grid features, on ...
Yulong Ma +2 more
doaj +1 more source
Associations of Sleep and Shift Work With Osteoarthritis Risk
Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships among circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000–person cohort, we evaluated associations among sleep duration, sleeplessness/insomnia, and shift
Elizabeth L. Yanik +5 more
wiley +1 more source
New Onset of Fibromyalgia After Exposure to a Combat Environment: A Longitudinal Cohort Study
Objective Traumatic life events are hypothesized to be triggers for the onset of fibromyalgia. Posttraumatic stress disorder (PTSD) is a common comorbidity of fibromyalgia. However, limited prospective data are available on the development of fibromyalgia after exposure to high‐magnitude stress.
Jay B. Higgs +15 more
wiley +1 more source
First identification and quantification of detached-tip vortices behind a wind energy converter using fixed-wing unmanned aircraft system [PDF]
In the present study, blade-tip vortices have been experimentally identified in the wake of a commercial wind turbine using the Multi-purpose Airborne Sensor Carrier Mark 3 (MASC Mk 3) unmanned aircraft system (UAS) of the University of Tübingen.
M. Mauz +4 more
doaj +1 more source
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier +12 more
wiley +1 more source

