VALERIO FRANCESCO BARNABEI

Diagnostica delle Macchine e dei Sistemi Energetici
(Ing. Energetica LM-30)
 
Google Classroom: ln54el5
 
Le ore di ricevimento verranno concordate su appuntamento
Email: valerio.barnabei@uniroma1.it 
 
https://classroom.google.com/c/MTIwODMzMTE2NTI1?cjc=ln54el5
 
 
Wind Technology: Sizing Development and Optimization
(Ing. Energetica - Energy Engineering LM-30)
Valerio Barnabei
 
Google Classroom code: 2e2rnc36
 
Lecture scheduling will be provided in the second half of March.
The laboratorywill not start before the second half of March.
 
 
Office hours for students scheduled by appointment
Email: valerio.barnabei@uniroma1.it
 
https://classroom.google.com/c/MjE4ODEzMDA5Mzla?cjc=2e2rnc36
 
The exam consists in a group project work developed during the course.
 
---- List of available MSc thesis topics ---
The list of available M.Sc. thesis includes topics linked to Diagnostics, Machine learning applied to Energy Conversion System, Turbomachinery and Clean Energy Transition. For each topic, multiple projects are available.
You are also free to propose your own ideas and get in touch via email for further information.
 

VALERIO FRANCESCO BARNABEI valerio.barnabei@uniroma1.it

EDUCATION | PhD, Energy and Environment, Sapienza University of Rome (2021) | MSc Mechanical Engineering, Sapienza (2017) | BSc Mechanical Engineering, Sapienza (2014)

APPOINTMENTS | Researcher, Sapienza (2023–present, PNRR-NEST) | Postdoctoral Researcher, Sapienza (2021–2023) | Member of Editorial Board, Journal of Power and Energy–SAGE (2025–) | Guest Editor, Journal of Power and Energy Special Issue (2025–); Energies-MDPI Special Issue (2022–) | Head of Secretariat, OWEMES Association onlus (2021–)

TEACHING (Sapienza University of Rome) | Diagnostica delle macchine e dei sistemi energetici, MSc Energy Engineering – Lecturer, 6 CFU (2024–25) | Wind technologies: sizing, development and optimization, MSc Energy Engineering – Lecturer, 3 CFU (2021–25) | Floating offshore wind turbines, PhD Course – Co-Lecturer (2023–25) | Hands-on ML for fluid machinery, PhD Course – Co-Lecturer (2023–25) | Fluid-Structure Interaction, MSc Mechanical Engineering – Co-Lecturer (2021–22)

RESEARCH AREAS | CFD & FSI (OpenFOAM, ANSYS Fluent) | Wind turbines & offshore wind farms | Wells turbines & wave energy | Aeroacoustics | Machine learning for predictive maintenance & anomaly detection (SCADA data) | HPC software development (C++/Python, MPI, FEM, VMS)

SELECTED GRANTS | Co-PI: Wind Farm Uncertainty Principle – Call4Innovators ENI HPC6 (2025) | Co-PI: H2REFLUX, hydrogen from industrial effluents – Mission Innovation 2.0 (2025) | Investigator: SERMED – Erasmus+ Capacity Building (2024) | PI: FEMpar FSI software – ISCRA-C, CINECA HPC (2019); Sapienza Avvio alla Ricerca (2018, 2019)

SOCIETY MEMBERSHIPS | AIMSEA (2024–) | ATI (2022–) | OWEMES (2021–)

PUBLICATIONS

Barnabei, V. F., et al. (2025). Data-driven wind farm power forecasting with Numerical weather predictions and SCADA data. Journal of Physics: Conference Series, 3143(1), 012012. IOP Publishing.

Barnabei, V. F., Castorrini, A., Corsini, A., & Van Der Spuy, J. (2025). Space-Time Variational Multi-Scale Simulation Of Low Speed Axial Fan With Automatic Mesh Generator. Proceedings of GPPS 2025. Global Power and Propulsion Society.

Barnabei, V. F., Castorrini, A., Corsini, A., Rispoli, F., Takizawa, K., & Tezduyar, T. E. (2025). Variational multiscale computational fluid–structure interaction analysis of Wells turbine passive-adaptive blades. Computational Mechanics, 75(5), 1519–1531.

Barnabei, V. F., Conti, M., Ancora, T. C. M., Delibra, G., Castorrini, A., Rispoli, F., & Corsini, A. (2025). Minimizing Levelized Cost of Energy and visual impact in Mediterranean offshore wind farms: A multi-objective optimization approach. Energy Conversion and Management, 344, 120204.

Barnabei, V. F., Ancora, T. C., Conti, M., Castorrini, A., Delibra, G., Corsini, A., & Rispoli, F. (2025). A multi-objective optimization framework for offshore wind farm design in deep water seas. Journal of Fluids Engineering, 147(3), 031105.

Barnabei, V. F., Ancora, T. C., Delibra, G., Corsini, A., & Rispoli, F. (2025). Semi-Supervised deep learning framework for predictive maintenance in offshore wind turbines. International Journal of Turbomachinery, Propulsion and Power, 10(3), 14.

Castorrini, A., Corsini, A., Barnabei, V., et al. (2025). Prediction and verification of leading-edge erosion on tape-protected operating wind turbines. Offshore Mediterranean Conference and Exhibition (OMC-2025).

Tieghi, L., Cerbarano, D., De Girolamo, F., Barnabei, V. F., & Delibra, G. (2025). A novel methodology for the automatic decomposition of HAWT wakes with k-means clustering. Wind Energy, 28(7), e70030.

Albanese, S., Barnabei, V. F., Morici, V., Corsini, A., & Castorrini, A. (2024). Comparative Analysis of the Effect of Two Tower Geometries on Offshore Wind Turbine Wake Aerodynamics. ASME Turbo Expo 2024.

Barnabei, V. F., De Girolamo, F., Ancora, T. C. M., Tieghi, L., Delibra, G., & Corsini, A. (2024). Normal Behaviour Modeling of HAWT fleets using SCADA-based feature engineering. Proceedings of GPPS 2024.

Castorrini, A., Barnabei, V. F., Domenech, L., et al. (2024). Impact of meteorological data factors and material characterization method on the predictions of leading edge erosion of wind turbine blades. Renewable Energy, 227, 120549.

Czwielong, F., Ocker, C., Tieghi, L., Delibra, G., Barnabei, V., et al. (2024). Experimental investigations of the aeroacoustic interactions of fan blade skew, leading edge serrations and inflow turbulence. 30th AIAA/CEAS Aeroacoustics Conference, p. 3391.

De Girolamo, F., Castorrini, A., Barnabei, V. F., Morici, V., Tieghi, L., Bonfiglioli, A., & Corsini, A. (2024). Detached eddy simulation of large scale wind turbine wake in offshore environment. International Journal of Heat and Fluid Flow, 110, 109637.

La Spada, F., Castellino, M., Moroni, M., Scipione, F., Corsini, A., Delibra, G., Barnabei, V. F., et al. (2024). Experimental test bench in a wave flume for the development of a new mini morphable Wells turbine. CoastLab 2024.

Morici, V., Barnabei, V. F., Castorrini, A., Rispoli, F., & Korobenko, A. (2024). Finite element-based simulation of large wind turbines wake using the actuator line method. Modeling and Analysis of Real World and Industry Applications, 2024.

Tieghi, L., Czwielong, F., Barnabei, V. F., Ocker, C., Delibra, G., Becker, S., & Corsini, A. (2024). Aerodynamics and aeroacoustics of leading edge serration in low-speed axial fans with forward skewed blades. Journal of Engineering for Gas Turbines and Power, 146(2), 021007.

Barnabei, V., Morvillo, E., Corsini, A., & Bonacina, F. (2023). A systematic study on the use of machine learnt feature derivation in horizontal axis wind turbine fleets. Offshore Mediterranean Conference and Exhibition (OMC-2023).

Barnabei, V. F., Bonacina, F., Corsini, A., Tucci, F. A., & Santilli, R. (2023). Condition-Based maintenance of gensets in district heating using unsupervised normal behavior models applied on SCADA data. Energies, 16(9), 3719.

Barnabei, V. F., Castorrini, A., Corsini, A., & Rispoli, F. (2023). Design of morphing Wells turbine blades using Computational FSI. 15th European Conference on Turbomachinery Fluid dynamics & Thermodynamics. ETS.

Castorrini, A., Barnabei, V. F., Corsini, A., Rispoli, F., Takizawa, K., & Tezduyar, T. E. (2023). Computational fluid–structure interaction analysis of passive adaptive blades in turbomachinery applications. Frontiers in Computational FSI and Flow Simulation–2023 (pp. 33–58). Springer.

De Girolamo, F., Tieghi, L., Delibra, G., Barnabei, V. F., & Corsini, A. (2023). Surrogate modeling of the aeroacoustics of an NM80 wind turbine. International Journal of Turbomachinery, Propulsion and Power, 8(4), 43.

Barnabei, V. F., Castorrini, A., Corsini, A., & Rispoli, F. (2022). Morphing of reversible axial fan blade: A FSI-FEM study. Journal of Turbomachinery, 144(9), 091013.

Castorrini, A., Tieghi, L., Barnabei, V., et al. (2022). Wake interaction in offshore wind farms with mesoscale derived inflow condition and sea waves. IOP Conference Series: Earth and Environmental Science, p. 012009.

Barnabei, V. F. (2021). A fluid structure interaction framework for digital twins in turbomachinery. [Doctoral Dissertation, Sapienza University of Rome].

Barnabei, V. F., Castorrini, A., Corsini, A., & Rispoli, F. (2021). Morphing of reversible axial fan blade: A FSI-FEM study. Turbo Expo: Power for Land, Sea, and Air, V001T10A009.

Barnabei, V. F., Castorrini, A., Corsini, A., & Rispoli, F. (2020). FSI analysis and simulation of flexible blades in a Wells turbine for wave energy conversion. E3S Web of Conferences, 11008.

Barnabei, V. F., Castorrini, A., Corsini, A., Van der Spuy, J., & Rispoli, F. (2020). Unsteady flow simulation of an axial fan for dry cooling in a CSP plant using the variational multiscale method. Turbo Expo: Power for Land, Sea, and Air, V001T10A014.

Castorrini, A., Barnabei, V., Corsini, A., & Rispoli, F. (2019). Strongly coupled fluid-structure interaction simulation of a 3d printed fan rotor. Turbo Expo: Power for Land, Sea, and Air, V001T09A006.

Palumbo, C. F., Barnabei, V. F., Preziuso, E., & Coronetta, U. (2016). Design and CFD analysis of a Ljungstrom turbine for an ORC cycle in a waste heat recovery application. Proceedings of ECOS 2016, Portorož, Slovenia.