Vincenzo Nava

ERC sectors

SDG

• Fathnejat, Hamed; Nava, Vincenzo (2025)
  Data augmentation for damaged scenarios in floating offshore wind turbines: an approach based on diffusion architecture, hierarchical variational approximation and healthy data distribution. In: ENGINEERING WITH COMPUTERS. ISSN 0177-0667
  Contributo su Rivista
• Aristondo, A.; Abanda, A.; Esteras, M.; Nava, V.; Penalba, M. (2025)
  A methodology for expert knowledge imbrication in mooring system design using Bayesian based optimization. In: RENEW2024
  Contributo in Atti di Convegno (Proceeding)
• Tamuly, P.; Sharma, S.; Nava, V. (2025)
  Integrated damage detection and time-series data augmentation for floating offshore mooring systems via variational semi-supervised learning. In: OCEAN ENGINEERING, vol. 330. ISSN 0029-8018
  Contributo su Rivista
• García-Violini, Demián; Faedo, Nicolas; Pena-Sanchez, Yerai; Nava, Vincenzo; Ringwood, ... (2024)
  Revisiting excitation force estimation in WECs: On the (mis)use of structure-based estimation approaches. In: OCEAN ENGINEERING, vol. 311. ISSN 0029-8018
  Contributo su Rivista
• Davidson, J.; Nava, V. (2024)
  Targeting the high frequency tail of wave spectra for energy harvesting in marine sensor networks. In: RENEWABLE ENERGY, vol. 237. ISSN 0960-1481
  Contributo su Rivista
• Fernandez-Navamuel, A.; Pena-Sanchez, Y.; Nava, V. (2024)
  Fault detection and identification for control systems in floating offshore wind farms: A supervised Deep Learning methodology. In: OCEAN ENGINEERING, vol. 310. ISSN 0029-8018
  Contributo su Rivista
• Pena-Sanchez, Y.; Garcia-Violini, D.; Penalba, M.; Zarketa-Astigarraga, A.; Ferri, F.; ... (2024)
  Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate. In: RENEWABLE ENERGY, vol. 227. ISSN 0960-1481
  Contributo su Rivista
• Sharma, S.; Nava, V. (2024)
  Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients. In: OCEAN ENGINEERING, vol. 302. ISSN 0029-8018
  Contributo su Rivista
• Gonzalez-Sieiro, J.; Pardo, D.; Nava, V.; Calo, V. M.; Towara, M. (2024)
  Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework. In: ENGINEERING WITH COMPUTERS. ISSN 0177-0667
  Contributo su Rivista
• Davidson, Josh; Nava, Vincenzo; Andersen, Jacob; Kramer Morten, Bech (2024)
  Exploiting Axisymmetry to Optimize CFD Simulations—Heave Motion and Wave Radiation of a Spherical Buoy. In: SYMMETRY, vol. 16. ISSN 2073-8994
  Contributo su Rivista
• Sharma, S.; Nava, Vincenzo (2024)
  Monitoring Mooring Lines of Floating Offshore Wind Turbines: Autoregressive Coefficients and Stacked Auto-Associative-Deep Neural Networks. In: CM2024
  Contributo in Atti di Convegno (Proceeding)
• Gorostidi, N.; Pardo, D.; Nava, V. (2023)
  Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders. In: OCEAN ENGINEERING, vol. 287. ISSN 0029-8018
  Contributo su Rivista
• Ruiz-Minguela, P.; Blanco, J. M.; Nava, V. (2023)
  Successful innovation strategies to overcome the technical challenges in the development of wave energy technologies. In: EWTEC2023
  Contributo in Atti di Convegno (Proceeding)
• Araignous, Emma; Kervella, Youen; Michelet, Nicolas; Luxcey, Neil; Nava, Vincenzo; ... (2023)
  Environmental Assessment tool in DTOcean+: reducing local and global environmental impacts for ocean energy projects. In: INTERNATIONAL MARINE ENERGY JOURNAL, vol. 6. ISSN 2631-5548
  Contributo su Rivista
• Ruiz-Minguela, P.; Noble, D. R.; Nava, V.; Pennock, S.; Blanco, J. M.; Jeffrey, H. (2023)
  Estimating Future Costs of Emerging Wave Energy Technologies. In: SUSTAINABILITY, vol. 15. ISSN 2071-1050
  Contributo su Rivista
• Ruiz-Minguela, P.; Blanco, J. M.; Nava, V.; Jeffrey, H. (2022)
  Technology-Agnostic Assessment of Wave Energy System Capabilities. In: ENERGIES, vol. 15. ISSN 1996-1073
  Contributo su Rivista
• Touzon, I.; Petuya, V.; Nava, V.; Alonso-Reig, M.; Mendikoa, I. (2022)
  Numerical Approaches for Loads and Motions Assessment of Floating WECs Moored by Means of Catenary Mooring Systems. In: 1st Workshop IFToMM for Sustainable Development Goals, I4SDG 2021, 2021, pp. 59-69. ISSN 2211-0984. ISBN: 9783030873820
  Contributo in Atti di Convegno (Proceeding)
• Touzon, I.; Nava, V.; Gao, Z.; Petuya, V. (2021)
  Frequency domain modelling of a coupled system of floating structure and mooring Lines: An application to a wave energy converter. In: OCEAN ENGINEERING, vol. 220. ISSN 0029-8018
  Contributo su Rivista
• Ruiz-minguela, P.; Nava, V.; Hodges, J.; Blanco, J. M. (2020)
  Review of systems engineering (Se) methods and their application to wave energy technology development. In: JOURNAL OF MARINE SCIENCE AND ENGINEERING, vol. 8, pp. 1-25. ISSN 2077-1312
  Contributo su Rivista
• LUIS VILLATE MARTINEZ, Jose; RUIZ MINGUELA, Pablo; PEREZ MORAN, German; Nava, Vincenzo; ... (2020)
  Design tools for offshore renewable energy. In: DYNA, vol. 95, pp. 601-605. ISSN 1989-1490
  Contributo su Rivista
• Touzon, I.; Nava, V.; Gao, Z.; Mendikoa, I.; Petuya, V. (2020)
  Small scale experimental validation of a numerical model of the HarshLab2.0 floating platform coupled with a non-linear lumped mass catenary mooring system. In: OCEAN ENGINEERING, vol. 200. ISSN 0029-8018
  Contributo su Rivista
• Touzon, I.; Nava, V.; de Miguel, B.; Petuya, V. (2020)
  A comparison of numerical approaches for the design of mooring systems for wave energy converters. In: JOURNAL OF MARINE SCIENCE AND ENGINEERING, vol. 8. ISSN 2077-1312
  Contributo su Rivista