57 citations · 180 across the 16 of their papers we have counts for
16 papers
An analytical model for rotors in confined flow across operating regimes
I. M. L. Upfal, K. J. McClure, K. S. Heck +4
Rotors operating in confined flows, or blockage, are commonly encountered in wind and water tunnels, as well as in shallow or dense deployments of hydrokinetic turbines. Confinemen…
Momentum deficit and wake-added turbulence kinetic energy budgets in the stratified atmospheric boundary layer
Kerry S. Klemmer, Michael F. Howland
To achieve decarbonization targets, wind turbines are growing in hub height, rotor diameter, and are being deployed in new locations with diverse atmospheric conditions not previou…
Coriolis effects on wind turbine wakes across atmospheric boundary layer regimes
Kirby S. Heck, Michael F. Howland
Wind turbines operate in the atmospheric boundary layer (ABL), where Coriolis effects are present. As wind turbines with larger rotor diameters are deployed, the wake structures th…
Unified Momentum Model for Rotor Aerodynamics Across Operating Regimes
Jaime Liew, Kirby S. Heck, Michael F. Howland
Despite substantial growth in wind energy technology in recent decades, aerodynamic modeling of wind turbines relies on momentum models derived in the late 19th and early 20th cent…
Modeling the effect of wind speed and direction shear on utility-scale wind turbine power production
Storm A. Mata, Juan José Pena MartÍnez, Jesús Bas Quesada +5
Wind speed and direction variations across the rotor affect power production. As utility-scale turbines extend higher into the atmospheric boundary layer (ABL) with larger rotor di…
Data-driven wake model parameter estimation to analyze effects of wake superposition
Michael J. LoCascio, Catherine Gorle, Michael F. Howland
Low-fidelity wake models are used for wind farm design and control optimization. To generalize to a wind farm model, individually-modeled wakes are commonly superimposed using appr…
Visual anemometry: physics-informed inference of wind for renewable energy, urban sustainability, and environmental science
John O. Dabiri, Michael F. Howland, Matthew K. Fu +1
Accurate measurements of atmospheric flows at meter-scale resolution are essential for a broad range of sustainability applications, including optimal design of wind and solar farm…
Modeling the induction, thrust, and power of a yaw misaligned actuator disk
Kirby S. Heck, Hannah M. Johlas, Michael F. Howland
Collective wind farm flow control, where wind turbines are operated in an individually suboptimal strategy to benefit the aggregate farm, has demonstrated potential to reduce wake…
Collective wind farm operation based on a predictive model increases utility-scale energy production
Michael F. Howland, Jesus Bas Quesada, Juan Jose Pena Martinez +5
Wind turbines located in wind farms are operated to maximize only their own power production. Individual operation results in wake losses that reduce farm energy. In this study, we…
Ensemble-Based Experimental Design for Targeting Data Acquisition to Inform Climate Models
Oliver R. A. Dunbar, Michael F. Howland, Tapio Schneider +1
Data required to calibrate uncertain GCM parameterizations are often only available in limited regions or time periods, for example, observational data from field campaigns, or dat…
Parameter uncertainty quantification in an idealized GCM with a seasonal cycle
Michael F. Howland, Oliver R. A. Dunbar, Tapio Schneider
Climate models are generally calibrated manually by comparing selected climate statistics, such as the global top-of-atmosphere energy balance, to observations. The manual tuning o…
Wind farm yaw control set-point optimization under model parameter uncertainty
Michael F. Howland
Wake steering, the intentional yaw misalignment of certain turbines in an array, has demonstrated potential as a wind farm control approach to increase collective power. Existing a…
Near-wake structure of full-scale vertical-axis wind turbines
Nathaniel J. Wei, Ian D. Brownstein, Jennifer L. Cardona +2
To design and optimize arrays of vertical-axis wind turbines (VAWTs) for maximal power density and minimal wake losses, a careful consideration of the inherently three-dimensional…
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
Jennifer L Cardona, Michael F Howland, John O Dabiri
Wind energy resource quantification, air pollution monitoring, and weather forecasting all rely on rapid, accurate measurement of local wind conditions. Visual observations of the…
Optimal control of a single leg hopper by Liouvillian system reduction
Patrick Slade, Siobhan Powell, Michael F. Howland
The benefits of legged locomotion shown in nature overcome challenges such as obstacles or terrain smoothness typically encountered with wheeled vehicles. This paper evaluates the…
Wake Structure of Wind Turbines in Yaw under Uniform Inflow Conditions
Michael F. Howland, Juliaan Bossuyt, Luis A. Martinez-Tossas +2
Reducing wake losses in wind farms by deflecting the wakes through turbine yawing has been shown to be a feasible wind farm controls approach. Nonetheless, the effectiveness of yaw…