Resource assessment parameterization impact on wave energy converter power production and mooring loads
• Quantifies wave and environmental impact on wave energy converter power and mooring line tension. • Baseline method overpredicts mean power (11.6%), underestimates maximum (328%). • Baseline method overpredicts mean (182%) and maximum mooring tension (729%). • Wave groups and wind speed identified...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Robertson, Bryson [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Umfang: |
15 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Risky business: Psychopathy, framing effects, and financial outcomes - Costello, Thomas H. ELSEVIER, 2018, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:244 ; year:2019 ; day:15 ; month:06 ; pages:1-15 ; extent:15 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.apenergy.2019.03.208 |
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ELV046404597 |
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| 520 | |a • Quantifies wave and environmental impact on wave energy converter power and mooring line tension. • Baseline method overpredicts mean power (11.6%), underestimates maximum (328%). • Baseline method overpredicts mean (182%) and maximum mooring tension (729%). • Wave groups and wind speed identified as key factors in power prediction accuracy. • Wave/current direction and current speed are key factors for mooring tension. | ||
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• Quantifies wave and environmental impact on wave energy converter power and mooring line tension. • Baseline method overpredicts mean power (11.6%), underestimates maximum (328%). • Baseline method overpredicts mean (182%) and maximum mooring tension (729%). • Wave groups and wind speed identified as key factors in power prediction accuracy. • Wave/current direction and current speed are key factors for mooring tension. |
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• Quantifies wave and environmental impact on wave energy converter power and mooring line tension. • Baseline method overpredicts mean power (11.6%), underestimates maximum (328%). • Baseline method overpredicts mean (182%) and maximum mooring tension (729%). • Wave groups and wind speed identified as key factors in power prediction accuracy. • Wave/current direction and current speed are key factors for mooring tension. |
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• Quantifies wave and environmental impact on wave energy converter power and mooring line tension. • Baseline method overpredicts mean power (11.6%), underestimates maximum (328%). • Baseline method overpredicts mean (182%) and maximum mooring tension (729%). • Wave groups and wind speed identified as key factors in power prediction accuracy. • Wave/current direction and current speed are key factors for mooring tension. |
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