Abstract's details
Comparison of wave power throughout South America using models with and without CFOSAT data assimilation
CoAuthors
Event: 2022 CFOSAT Science Team Meeting
Session: Wind and waves: characterization, processes, modeling
Presentation type: Type Forum only
Contribution: PDF file
Abstract:
Integrating renewable energy sources into the energy mix is becoming increasingly important for reducing greenhouse gas emissions. Among the best known are solar and wind energy; however, wave energy is gaining more and more strength. When integrating renewable energies into the grid, planning and controlling their supply is a vital concern. Therefore, precise knowledge of the extractable potential is required when opting for renewable energy sources, especially wave energy. This study covers South America and compares the accuracy of the MFWAM Meteo-France’s model, which assimilates CFOSAT data, to the accuracy of models that do not assimilate satellite data or which assimilate data from earlier satellites.
This difference at the time of forcing a model might provide information on an increase or decrease in the estimated wave height, resulting in a difference in the wave power. Since wave power is calculated using the squared of the wave’s height, the discrepancies can be considerable. In addition, how well extreme events are represented will be studied; this is an essential topic for the survivability of wave energy converters. The MFWAM model will be validated with buoys throughout South America. Knowing this information will provide a comprehensive perspective of the wave energy patterns and typical conditions expected in the study area, hence reducing the uncertainty associated with the integration of wave energy into the electrical grid.
This difference at the time of forcing a model might provide information on an increase or decrease in the estimated wave height, resulting in a difference in the wave power. Since wave power is calculated using the squared of the wave’s height, the discrepancies can be considerable. In addition, how well extreme events are represented will be studied; this is an essential topic for the survivability of wave energy converters. The MFWAM model will be validated with buoys throughout South America. Knowing this information will provide a comprehensive perspective of the wave energy patterns and typical conditions expected in the study area, hence reducing the uncertainty associated with the integration of wave energy into the electrical grid.