Mathematical models

Product / Service

Intelligent mathematical models based on data for offshore renewable structures and their interaction with the marine environment

Main Contact: Vincenzo Nava

Subproducts

Description

Development of data analytics techniques for the characterization of structures for offshore renewables (estimation and prediction of displacements, stresses, etc …).

 


 

Projects / PhD Thesis

  • MATHEO– Matemáticas Inteligentes para Eólica Offshore

 


 

Publications

 


 

Resources

  • Full Scale Data: HarshLab
  • Experimental data on a reduced scale: Flume UPV/EHU
  • Computational resources: HIPATIA, UPV/EHU Computing Center

Description

Neural network architecture designs for early stage failure detection in platforms for offshore renewables, Structural Health Monitoring of platforms and subsystems, and estimation of useful life, for planning operations and predictive maintenance.

 


 

Projects / PhD Thesis

  • VIVIR – Validación de un método de reducción de Incertidumbre de la VIda Remanente de sistemas de fondeo para turbinas eólicas offshore flotantes

 


 

Resources

  • Full Scale Data: HarshLab
  • Experimental data on a reduced scale: Flume UPV/EHU
  • Computational resources: HIPATIA, UPV / EHU Computing Center

Description

Development of data analysis techniques for the analysis and management of energy production in the operating phase for offshore renewable energy devices.

 


 

Projects / PhD Thesis

  • MARIA -Monitoring floAting platfoRms in offshore wind through artificIAl intelligence

 


 

Resources

  • Full Scale Data: HarshLab
  • Experimental data on a reduced scale: Flume UPV/EHU
  • Computational resources: HIPATIA, UPV / EHU Computing Center