Incorporating stochastic operation and maintenance models into the techno-economic analysis of floating offshore wind farms
• Methodology for capital and operational indicators estimation is presented. • Introducing stochastic operation and maintenance modelling for uncertainty reduction. • Reference database for further works on floating wind farms provided. • Results shows agreement with observed values for offshore wi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rinaldi, Giovanni [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021 |
|---|
| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Risky business: Psychopathy, framing effects, and financial outcomes - Costello, Thomas H. ELSEVIER, 2018, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:301 ; year:2021 ; day:1 ; month:11 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.apenergy.2021.117420 |
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ELV055081762 |
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| 520 | |a • Methodology for capital and operational indicators estimation is presented. • Introducing stochastic operation and maintenance modelling for uncertainty reduction. • Reference database for further works on floating wind farms provided. • Results shows agreement with observed values for offshore wind projects. • Comparison against previous work shows underestimation of operational costs. | ||
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• Methodology for capital and operational indicators estimation is presented. • Introducing stochastic operation and maintenance modelling for uncertainty reduction. • Reference database for further works on floating wind farms provided. • Results shows agreement with observed values for offshore wind projects. • Comparison against previous work shows underestimation of operational costs. |
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• Methodology for capital and operational indicators estimation is presented. • Introducing stochastic operation and maintenance modelling for uncertainty reduction. • Reference database for further works on floating wind farms provided. • Results shows agreement with observed values for offshore wind projects. • Comparison against previous work shows underestimation of operational costs. |
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