Assistant Professor @MIT_CEE atmospheric flows, wind energy, optimization
Joined December 2020
- Tweets 109
- Following 240
- Followers 445
- Likes 407
5 Photos and videos
Pinned Tweet
11 Aug 2022
Our @NatureEnergyJnl paper demonstrates significant energy gain at a utility-scale wind farm by collective control based on a new predictive model. Collective control increases energy without cost for existing farms enable higher energy density designs 1/9 nature.com/articles/s41560-0…
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24 Nov 2024
Excited to be at @APSphysics DFD 2024 this year in Salt Lake City, come check out the talks from our group!
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Michael Howland retweeted
22 Nov 2024
PRFluids Editors' Suggestion: @MIT researchers Klemmer & Howland unveil new insights into wind turbine wakes! They reveal how atmospheric stability transforms momentum & turbulence dynamics, paving the way for smarter, more efficient wind energy solutions! go.aps.org/4eHacXu
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12 Nov 2024
🚨My lab at @MIT has multiple openings for fully funded PhD students! Topics include computational fluid dynamics, atmospheric flow, uncertainty quantification, renewable energy, and decarbonized power systems under climate change. App due Dec. 1st.
howlandlab.com/openings
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Congrats to Prof. Michael Howland on receiving a 2025 Young Investigator Program award from the Office of Naval Research to support his project, “Closing the Loop on Joint Physics- and Data-Driven Modeling of Marine Boundary Layer Turbulence Above Waves.”
cee.mit.edu/mit-assistant-pr…
ALT Headshot of Michael Howland.
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25 Oct 2024
🚨Postdoc position available in the Howland Lab at @MIT!
Our lab is seeking a Postdoc for a two-year project on "Multi-fidelity modeling and uncertainty quantification of wind power aerodynamics."
Further information about the position: howlandlab.com/openings
@MIT_CEE #energy
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24 Oct 2024
Honored to receive the ONR @USNavyResearch Young Investigator award and excited to work on our project "Closing the Loop on Joint Physics- and Data-Driven Modeling of Marine Boundary Layer Turbulence Above Waves"
@MIT @MITEngineering @MIT_CEE #turbulence #MachineLearning #CFD #UQ
23 Oct 2024
Congratulations, 2025 #YIP awardees! 🎉
The ONR Young Investigator Program is a highly competitive program that attracts outstanding early-career academics in #STEM to propose innovative solutions to @USNavy @USMC warfighter challenges.
📰: onr.navy.mil/media-center/ne…
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Michael Howland retweeted
22 Aug 2024
CEE engineers have developed the first physics-based model that accurately represents the airflow around rotors, even under extreme conditions. The model could improve the way turbine blades and wind farms are designed. mitsha.re/JWtt50T3YbO
ALT Wind turbines in the ocean.
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21 Aug 2024
Our new study develops a Unified Momentum Model to predict rotor aerodynamics across operating regimes, eliminating the longtime reliance on empirical corrections used in aerodynamic modeling.
nature.com/articles/s41467-0…
@MIT_CEE @MIT
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21 Aug 2024
The Unified Momentum Model lowers prediction error across yaw and thrust coefficient regimes by 60%, 83%, and 78% for the induction, streamwise wake velocity, and spanwise wake velocity, respectively, compared to classical one-dimensional momentum theory.
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19 Aug 2024
Our lab @MIT_CEE partnered with @VineyardWindUS for community outreach and education focused on the power and opportunities of offshore wind energy at the AHA! New Bedford event
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12 Aug 2024
Had a fantastic time at the @Stanford Center for Turbulence Research (CTR) Summer Program, working on our project “Multi-fidelity modeling and uncertainty quantification of heterogeneous roughness.” Thanks to our hosts and CTR for the support!
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10 Jun 2024
New paper from our lab! We performed a field experiment at a utility-scale wind farm with @SiemensGamesa and ReNew, finding that wind speed and direction shear impact wind power by -19% to 34% relative to the mean power curve, depending on the shear.
doi.org/10.1002/we.2917
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10 Jun 2024
The blade element representation has lowest error, but all models substantially underpredict the magnitude of the impact of wind shear on power production.
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10 Jun 2024
Wind turbines, especially offshore, are rapidly growing in hub-height and rotor diameter, increasing the impact of wind shear on wind power production. This motivates the urgent need to improve aerodynamic models of the impact of wind shear on power production, wakes, and loads.
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