Michael F. Howland

Ph.D. Candidate
Department of Mechanical Engineering
Stanford University

I am a Ph.D. candidate in the Department of Mechanical Engineering at Stanford University under the advisorship of Profs. John O. Dabiri and Sanjiva K. Lele. My research focuses on the improvement of renewable energy systems through the study of fluid mechanics, optimization, and computational science.
My CV can be accessed here: CV

Education

  • Ph.D., Mechanical Engineering, Stanford University | In progress
  • M.S., Mechanical Engineering, Stanford University | 2018
  • B.S., Mechanical Engineering, Johns Hopkins University | 2016

Journal publications

[7] "Influence of the geostrophic wind direction on the atmospheric boundary layer flow,"
Howland MF, Ghate, AS, Lele SK. Journal of Fluid Mechanics, 2020. [Article]
[6] "Wind farm modeling with interpretable physics-informed machine learning,"
Howland MF, Dabiri JO. Energies, 2019. [Article, pdf]
[5] "Wind farm power optimization through wake steering,"
Howland MF, Lele SK, Dabiri JO. Proceedings of the National Academy of Sciences of the USA, 2019. [Article, pdf]
[4] "Dependence of small-scale energetics on large scales in turbulent flows,"
Howland MF, Xiang XIA. Journal of Fluid Mechanics, 2018. [Article, pdf]
[3] "Implication of Taylor’s hypothesis on measuring flow modulation,"
Xiang XIA, Howland MF. Journal of Fluid Mechanics, 2018. [Article, pdf]
[2] "Measurement of unsteady loading and power output variability in a micro wind farm model in a wind tunnel,"
Bossuyt J, Howland MF, Meneveau C, Meyers J. Experiments in Fluids, 2017. [Article, pdf]
[1] "Wake structure in actuator disk models of wind turbines in yaw under uniform inflow conditions,"
Howland MF, Bossuyt J, Martínez-Tossas LA, Meyers J, Meneveau C. Journal of Renewable and Sustainable Energy, 2016. [Article, pdf]

Conference and arXiv publications

[7] "Seeing the wind: Visual wind speed prediction with a coupled convolutional and recurrent neural
network," Cardona, JL, Howland MF, Dabiri JO. 2019. [arXiv, pdf]
[6] "Influence of the horizontal component of Earth’s rotation on wind turbine wakes,"
Howland MF, Ghate A, Lele SK. 2018. [Conference Paper, pdf]
[5] "Dependence of small-scale energetics on large scales in wall-bounded flows,"
Howland MF, Xiang XIA. 2017. [CTR Brief, pdf]
[4] "Optimal control of a single leg hopper by Liouvillian system reduction,"
Slade P, Powell S, Howland MF. 2017. [arXiv, pdf]
[3] "Wind tunnel study of the power output spectrum in a micro wind farm,"
Bossuyt J, Howland MF, Meneveau C, Meyers J. 2016. [Conference Paper, pdf]
[2] "Measuring power output intermittency and unsteady loading in a micro wind farm model,"
Bossuyt J, Howland MF, Meneveau C, Meyers J. 2016. [Conference Paper, pdf]
[1] "Assessing the impact of power rate limitation based wind control strategy,"
Howland MF, Krishnan V, Brown N, McCalley J. 2014. [Conference Paper, pdf]

Here's a video I made with collaborators Tony Martinez and Charles Meneveau describing wake steering!

Media

pnas
bloomberg
ieee
tech
stanford

Contact Me

Email: mhowland@stanford.edu