C
Chao Qin
Researcher at University of Virginia
Publications - 37
Citations - 559
Chao Qin is an academic researcher from University of Virginia. The author has contributed to research in topics: Wind power & Rotor (electric). The author has an hindex of 10, co-authored 32 publications receiving 353 citations.
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Liquid piston compression efficiency with droplet heat transfer
TL;DR: In this article, a droplet spray heat transfer concept is investigated to establish a near-isothermal high-efficiency compression process for off-shore wind energy storage, where the use of small water droplets and high mass loading can allow for a large interfacial surface area for heat transfer.
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Downwind pre-aligned rotors for extreme-scale wind turbines
TL;DR: In this paper, the authors investigated a two-bladed configuration by keeping the structural and aerodynamic characteristics of each blade fixed (to avoid a complete blade re-design) to examine potential rotor mass reduction.
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Spray-cooling concept for wind-based compressed air energy storage
TL;DR: In this article, a spray-based compressed air energy storage with a 35 MPa accumulator was proposed for a 5'MW off-shore wind turbine, which employed a liquid piston for air sealing and employed water spray to augment heat transfer for high efficiency.
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Hydraulic-electric hybrid wind turbines: Tower mass saving and energy storage capacity
TL;DR: In this article, the authors investigated the concept of introducing a hydraulic motor in the nacelle to convert rotor shaft work into hydraulic power that is transmitted to the electric generator at ground/sea level.
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Pre-aligned downwind rotor for a 13.2 MW wind turbine
Carlos Noyes,Chao Qin,Eric Loth +2 more
TL;DR: In this paper, a downwind configuration with a coning angle prescribed to allow load alignment for critical conditions could be used to reduce ultimate bending moments and fatigue loadings in wind turbines, and the simulation results show that the two-bladed downwind pre-aligned rotor with 15° coning, decreases the blade damage equivalent loads by 19.0%, and decreases rotor blade mass by 27.4%.