Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Howland, Michael"'
Autor:
Klemmer, Kerry S., Howland, Michael F.
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 previously seen, such as offshore. Physics-based analytical wake models commo
Externí odkaz:
http://arxiv.org/abs/2404.15117
Autor:
Heck, Kirby S., Howland, Michael F.
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 that they create in the ABL also increase in length. Contemporary utilit
Externí odkaz:
http://arxiv.org/abs/2403.12190
Modeling the effect of wind speed and direction shear on utility-scale wind turbine power production
Autor:
Mata, Storm A., MartÍnez, Juan José Pena, Quesada, Jesús Bas, Larrañaga, Felipe Palou, Yadav, Neeraj, Chawla, Jasvipul S., Sivaram, Varun, Howland, Michael F.
Publikováno v:
Wind Energy (2024) 1-27
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 diameters and hub heights, they increasingly encounter more complex wind
Externí odkaz:
http://arxiv.org/abs/2309.15254
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 approximate superposition models. Wake models parameterize atmospheric and
Externí odkaz:
http://arxiv.org/abs/2306.11919
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 farms, safe and efficient urban air mobility, monitoring of environmental
Externí odkaz:
http://arxiv.org/abs/2304.04728
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 interactions and increase farm energy production. However, existing wa
Externí odkaz:
http://arxiv.org/abs/2209.00111
Collective wind farm operation based on a predictive model increases utility-scale energy production
Autor:
Howland, Michael F., Quesada, Jesus Bas, Martinez, Juan Jose Pena, Larranaga, Felipe Palou, Yadav, Neeraj, Chawla, Jasvipul S., Sivaram, Varun, Dabiri, John O.
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 operate a wind turbine array collectively to maximize total array pro
Externí odkaz:
http://arxiv.org/abs/2202.06683
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 data generated in local high-resolution simulations. This raises the ques
Externí odkaz:
http://arxiv.org/abs/2201.06998
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 only targets a limited subset of observational data and parameters. Bay
Externí odkaz:
http://arxiv.org/abs/2108.00827
Autor:
Howland, Michael F.
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 algorithms optimize the yaw misalignment angle set-points using steady-
Externí odkaz:
http://arxiv.org/abs/2103.09082