Results 251 to 260 of about 619,388 (381)

Analytical and Numerical Investigation of Exhaust Gas Driven Turbine Powered Generator

open access: yesEngineering Reports, Volume 7, Issue 7, July 2025.
Schematic representation of an exhaust gas‐driven turbine‐powered generator system. ABSTRACT The design and simulation of an exhaust gas‐driven turbine‐powered generator (EGDTPG) are the main topics of this study. The engine's exhaust gases, which are normally released into the atmosphere, are converted into energy by the EGDTPG.
Tadele Bishaw Achenef   +3 more
wiley   +1 more source

Risk‐Based Structural Seismic Response Assessment of Large‐Scale Jacket‐Supported Offshore Wind Turbines

open access: yesEarthquake Engineering &Structural Dynamics, Volume 54, Issue 8, Page 2044-2061, 10 July 2025.
ABSTRACT Offshore wind energy is growing as a major contributor to achieving the current targets of reaching net‐zero carbon emissions globally, offering a scalable, reliable, and cost‐competitive energy source. With the worldwide momentum of investing in wind energy infrastructure, offshore wind farms are now being constructed in seismically active ...
Zeyad Khalil   +2 more
wiley   +1 more source

Numerical Investigations of the Aerothermal Performance of Modern Turbine Blade Tip Geometries at Design and Off‐Design Conditions and Under Stationary and Moving Shroud

open access: yesHeat Transfer, Volume 54, Issue 5, Page 3193-3207, July 2025.
ABSTRACT High‐pressure turbine blade tips operate under extreme thermal stress, generating significant aerodynamic losses that must be continually optimized to improve engine efficiency and durability. This study uses computational fluid dynamics (CFD) to investigate the aerodynamic and thermal behavior of advanced turbine blade tip configurations ...
Kheir‐Eddine Arrif   +2 more
wiley   +1 more source

Wind Turbine Blade Material Behavior in Abrasive Wear Conditions. [PDF]

open access: yesPolymers (Basel)
Muntenita C   +4 more
europepmc   +1 more source

A Novel Methodology for the Automatic Decomposition of HAWT Wakes With K‐Means Clustering

open access: yesWind Energy, Volume 28, Issue 7, July 2025.
ABSTRACT This work presents a novel and automatic approach to process data from computational fluid dynamics at runtime, to identify and separate different regions of wind turbine wakes. The methodology is based on partitional clustering, in particular k‐Means, and applied to large eddy simulation (LES) computations of the wake of a DTU‐10‐MW wind ...
Lorenzo Tieghi   +4 more
wiley   +1 more source

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