Estimating fish mortality in a hydroelectric turbine using computational fluid dynamics and autonomous device methods

dc.contributor.advisorHaralampides, Katy
dc.contributor.advisorJeans, Tiger
dc.contributor.authorHamel, Philippe Remi
dc.date.accessioned2025-01-28T14:09:04Z
dc.date.available2025-01-28T14:09:04Z
dc.date.issued2024-12
dc.description.abstractThe goal of this study was to use computational methods to estimate risk to fish as they pass through a large hydroelectric turbine, where some fish can be injured or killed. A large Kaplan-type hydroelectric turbine was modelled with computational fluid dynamics at two different flowrates, and simulation results were validated with field measurements obtained using autonomous sensors that were deployed through the same turbine while it operated at the simulated flowrates. Simulation results and the Biological Performance Assessment method were then used to evaluate mortality risk to three fish species during turbine passage at each simulated flowrate. Results indicated that fish mortality consistently occurs in the investigated turbine, and that mortality risk for the examined species is higher at the largest simulated flowrate. Mitigation measures such as operational changes or turbine upgrades are recommended to lower risk of mortality to fish that pass through the turbine.
dc.description.copyright©Philippe Hamel, 2024
dc.format.extentxvii, 173
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/38236
dc.language.isoen
dc.publisherUniversity of New Brunswick
dc.relationÉnergie NB Power
dc.relationNSERC
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineCivil Engineering
dc.titleEstimating fish mortality in a hydroelectric turbine using computational fluid dynamics and autonomous device methods
dc.typemaster thesis
oaire.license.conditionother
thesis.degree.disciplineCivil Engineering
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.E.

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