Vincenzo Nava

• Meccaniche delle onde di mare
• Monitorizzazione della salute strutturare di turbine eoliche offshore
• Produzione di energia da onde di mare
• Progettazione, operazione e manutenzione di turbine eoliche galleggianti
• Sistemi di ancoraggio per piattaforme galleggianti per rinnovabili marine

Settori ERC

SDG

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• COMUNICARE LA RICERCA ALLA CITTADINANZA
  Rilasciato da Politecnico di Torino il 01-07-2025

• Collegio di Ingegneria Civile ed Edile. Componente
• Collegio di Ingegneria per l'Ambiente e il Territorio. Componente

Corso di laurea magistrale

• Coastal engineering. A.A. 2025/26, INGEGNERIA PER L'AMBIENTE E IL TERRITORIO. Titolare del corso

Corso di laurea di 1° livello

• Idraulica tecnica per l'ingegneria edile. A.A. 2025/26, INGEGNERIA EDILE. Titolare del corso

• IDROLOGIA E COSTRUZIONI IDRAULICHE (DIATI)

Progetti finanziati da contratti commerciali

• Concorso oneri per investigazione e simulazione numerica del comportamento di dispositivi di conversione di energia dal moto ondoso (WECs) in ambito offshore e costiero, con il fine di stimare e ottimizzare le performance, accoppiando simulazioni high-fidelity con modelli low-fidelity e algoritmi di controllo, per modellare il power take-off dei WEC, e per efficientare l’interazione onda—dispositivo, (2025-2026) - Responsabile Scientifico
  Concorso oneri ricerca commerciale

• 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
• 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
• Tamuly, Pranjal; Nava, Vincenzo (2025)
  Machine learning based conformal predictors for uncertainty-aware compressive strength estimation of concrete. In: CONSTRUCTION AND BUILDING MATERIALS, vol. 487. ISSN 0950-0618
  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)
• Fernandez-Navamuel, Ana; Gorostidi, Nicolas; Pardo, David; Nava, Vincenzo; Chatzi, Eleni (2025)
  Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine. In: WIND ENERGY SCIENCE, vol. 10, pp. 857-885. ISSN 2366-7443
  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
• 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
• 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
• 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
• 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
• 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)
• 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
• 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
• 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)
• 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
• 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
• 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
• 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)
• 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.; 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