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Conference object . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2026
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2026
License: CC BY
Data sources: Datacite
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Large-Eddy Simulation of the Piscataqua River: Hydrodynamic Insights for Tidal Turbine Deployment Under Ebb and Flood Conditions

Authors: Aksen, Mustafa Meric; Khosronejad, Ali;

Large-Eddy Simulation of the Piscataqua River: Hydrodynamic Insights for Tidal Turbine Deployment Under Ebb and Flood Conditions

Abstract

We present a series of high-fidelity numerical simulations to investigate the turbulent flow in a 6 km-long reach of the Piscataqua River and Portsmouth Harbor at the borderline between New Hampshire and Maine states under both the ebb and flood-tidal conditions. The objective of this study is to (1) find an adequate location for a tidal farm within the river and (2) optimize the placement of individual turbines within the selected site. The digital map of the study area was reconstructed from remote sensing data (i.e., above water topography of the riverbanks via LiDAR) and field measurements (i.e., bathymetry of the river via multi-beam sonar). To prescribe the inflow conditions of the flood and ebb flows in the river, three inlet boundary conditions were imposed: (1) a synthetic inlet profile obtained from the log-law, (2) instantaneous turbulent flow generated from a precursor straight-channel simulation, and (3) instantaneous turbulent flow from a precursor river simulation in a 500 m upstream reach. By evaluating the hydrodynamic conditions from preliminary numerical studies, we explored optimizing a proposed tidal turbine farm along the Piscataqua River and Portsmouth Harbor.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average