Zerrendatu honen arabera: egilea "1b1b7a7e44bcb86da559ab3748e6386d"
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A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
Penalba, Markel; Aizpurua Unanue, Jose Ignacio (Elsevier, 2022)The potential of Marine Renewable Energy (MRE) systems is usually evaluated based on recent metocean data and assuming the stationarity of the MRE resource. Yet, different studies in the literature have shown long-term ... -
Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6
Barkanov, Egor; Penalba, Markel; Martinez, Abel; Martinez Perurena, Ander; Zarketa-Astigarraga, Ander; Iglesias, Gregorio (Elsevier, 2024)The design of the different offshore renewable energy (ORE) technologies depends on the characteristics of wind/wave resources. However, these characteristics are not stationary under climate change. In this study the ... -
On the definition of a risk index based on long-term metocean data to assist in the design of Marine Renewable Energy systems
Penalba, Markel; Aizpurua Unanue, Jose Ignacio (Elsevier Ltd, 2021)Marine Renewable Energy (MRE) systems are designed to maximise energy generation and ensure survivability. The traditional design process is based on pure environmental conditions, tends to be too conservative and limits ... -
On the temporal sensitivity of the reference data in bias correction techniques for improving metocean datasets
CALLEA, FRANCESCO; Martinez Perurena, Ander; Zarketa-Astigarraga, Ander; Penalba, Markel; Cervelli, G.; Giorgi, G.; Robertson, B.; Iglesias, G. (Taylor & Francis, 2024)The paper presents a preliminary study limited to the use of wave height for the data corresponding to the Gulf of Biscay, a location with a very dominant North-West wave rose. It benchmarks different bias correction (BC) ...
