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Tidal-stream power assessment: a novel modelling approach

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Veröffentlicht in: Energy reports 6(2020), 1 vom: Feb., Seite 108-113
Personen und Körperschaften: Flores Mateos, L. M. (VerfasserIn), Hartnett, M. (VerfasserIn)
Titel: Tidal-stream power assessment: a novel modelling approach/ L.M. Flores Mateos, M. Hartnett
Format: E-Book-Kapitel
Sprache: Englisch
veröffentlicht:
2020
Gesamtaufnahme: : Energy reports, 6(2020), 1 vom: Feb., Seite 108-113
, volume:6
Schlagwörter:
Quelle: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
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contents An alternative approach for simulating turbine array energy capture, momentum sink-TOC, was developed to improve conventional methodologies for assessing tidal-stream energy resource. The method uses a non-constant thrust force coefficient calculated based on turbines operating-conditions and relates turbine near-field changes produced by power extraction to turbine thrust forces. Momentum sink-TOC was implemented in two depth-average complex hydrodynamic models to simulate an ideal turbine lay-out to perform tidal-stream energy resource assessment. The first model solves smooth and slow flows (SSF). The second model solves rapidly varying flows (RVF). Calculation of head drops across the turbine arrays and turbine efficiencies enabled estimation of further power metrics. Tidal-stream energy resource evaluation with a tidal fence indicates that a computationally economical pre-assessment can be adequately performed using an SSF solver. However, caution should be taken when using SSF solver due to the incapacity of the model to accurately solve velocity reduction due to power extraction.
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spelling Flores Mateos, L. M. VerfasserIn aut, Tidal-stream power assessment a novel modelling approach L.M. Flores Mateos, M. Hartnett, 2020, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2, An alternative approach for simulating turbine array energy capture, momentum sink-TOC, was developed to improve conventional methodologies for assessing tidal-stream energy resource. The method uses a non-constant thrust force coefficient calculated based on turbines operating-conditions and relates turbine near-field changes produced by power extraction to turbine thrust forces. Momentum sink-TOC was implemented in two depth-average complex hydrodynamic models to simulate an ideal turbine lay-out to perform tidal-stream energy resource assessment. The first model solves smooth and slow flows (SSF). The second model solves rapidly varying flows (RVF). Calculation of head drops across the turbine arrays and turbine efficiencies enabled estimation of further power metrics. Tidal-stream energy resource evaluation with a tidal fence indicates that a computationally economical pre-assessment can be adequately performed using an SSF solver. However, caution should be taken when using SSF solver due to the incapacity of the model to accurately solve velocity reduction due to power extraction., DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/, Aufsatz in Zeitschrift DE-206, Kongressbeitrag DE-206, Hartnett, M. VerfasserIn aut, Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 6(2020), 1 vom: Feb., Seite 108-113 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns, volume:6 year:2020 number:1 month:02 pages:108-113, https://www.sciencedirect.com/science/article/pii/S2352484719306274/pdfft?md5=232e25763cc3d3bfbdab4c03318cb1e2&pid=1-s2.0-S2352484719306274-main.pdf Verlag kostenfrei, https://doi.org/10.1016/j.egyr.2019.08.027 Resolving-System kostenfrei, http://hdl.handle.net/10419/243718 Resolving-System kostenfrei, https://doi.org/10.1016/j.egyr.2019.08.027 LFER, https://www.sciencedirect.com/science/article/pii/S2352484719306274/pdfft?md5=232e25763cc3d3bfbdab4c03318cb1e2&pid=1-s2.0-S2352484719306274-main.pdf LFER, LFER 2020-04-07T00:00:00Z
spellingShingle Flores Mateos, L. M., Hartnett, M., Tidal-stream power assessment: a novel modelling approach, An alternative approach for simulating turbine array energy capture, momentum sink-TOC, was developed to improve conventional methodologies for assessing tidal-stream energy resource. The method uses a non-constant thrust force coefficient calculated based on turbines operating-conditions and relates turbine near-field changes produced by power extraction to turbine thrust forces. Momentum sink-TOC was implemented in two depth-average complex hydrodynamic models to simulate an ideal turbine lay-out to perform tidal-stream energy resource assessment. The first model solves smooth and slow flows (SSF). The second model solves rapidly varying flows (RVF). Calculation of head drops across the turbine arrays and turbine efficiencies enabled estimation of further power metrics. Tidal-stream energy resource evaluation with a tidal fence indicates that a computationally economical pre-assessment can be adequately performed using an SSF solver. However, caution should be taken when using SSF solver due to the incapacity of the model to accurately solve velocity reduction due to power extraction., Aufsatz in Zeitschrift, Kongressbeitrag
title Tidal-stream power assessment: a novel modelling approach
title_auth Tidal-stream power assessment a novel modelling approach
title_full Tidal-stream power assessment a novel modelling approach L.M. Flores Mateos, M. Hartnett
title_fullStr Tidal-stream power assessment a novel modelling approach L.M. Flores Mateos, M. Hartnett
title_full_unstemmed Tidal-stream power assessment a novel modelling approach L.M. Flores Mateos, M. Hartnett
title_in_hierarchy Tidal-stream power assessment: a novel modelling approach / L.M. Flores Mateos, M. Hartnett,
title_short Tidal-stream power assessment
title_sort tidal stream power assessment a novel modelling approach
title_sub a novel modelling approach
topic Aufsatz in Zeitschrift, Kongressbeitrag
topic_facet Aufsatz in Zeitschrift, Kongressbeitrag
url https://www.sciencedirect.com/science/article/pii/S2352484719306274/pdfft?md5=232e25763cc3d3bfbdab4c03318cb1e2&pid=1-s2.0-S2352484719306274-main.pdf, https://doi.org/10.1016/j.egyr.2019.08.027, http://hdl.handle.net/10419/243718