Francesco Callea
Advanced offshore renewable energy resource assessment, combining re-analysis datasets with bias correction techniques and satellite data, analysing the sensitivity of these techniques to the provided data.
Rel. Giuseppe Giorgi, Markel Penalba Retes. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2024
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (30MB) | Preview |
Abstract
The present work focuses on the necessity of a deep and accurate knowledge of metocean conditions for Offshore Renewable Energy devices. In-situ measurements are accurate, but often not-available (due to malfunctions) or expensive to obtain on a large time-scale, and reanalysis datasets are characterized by an intrinsic uncertainty. The possibility to exploit wave direction in bias correction methods was therefore analyzed here. Three directional strategies were tried; their results (centred on the significant wave height’s correction) were computed and compared across four locations around the Iberian peninsula (each offering different wave and wind characteristics for an optimal cross-validation) according to apposite statistical parameters.
A comparison was made with the most performing non- directional technique, and improvements in the data quality were actually observed in most methods, with the Gumbel-based techniques generally overperforming the linearly-spaced ones
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Ente in cotutela
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
