Salta al contenuto principale
Ricerc@Sapienza
Toggle navigation
Home
Login
Home
Persone
giovanni.delibra@uniroma1.it
Giovanni Delibra
Professore Associato
Struttura:
DIPARTIMENTO DI INGEGNERIA MECCANICA E AEROSPAZIALE
E-mail:
giovanni.delibra@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Integration of photovoltaic panels and biomass-fuelled CHP in an Italian renewable energy community
ENERGY CONVERSION AND MANAGEMENT. X
2024
A Rome district transition towards optimal and sustainable heat and power generation
APPLIED THERMAL ENGINEERING
2024
A multi objective optimization framework for offshore wind farm design in deep water seas
Proceedings of ASME TurboExpo 2024
2024
Characterization of high-pressure hydrogen leakages
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER
2024
Machine Learning Regression of Under-Expanded Hydrogen Jets
Proceedings of the ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition
2024
Normal behaviour modeling of hawt fleets using scada-based feature engineering
Proceedings of Global Power & Propulsion Society
2024
Machine Learning Regression of Under-Expanded Hydrogen Jets
Turbo Expo: Power for Land, Sea, and Air. Vol. 87936. American Society of Mechanical Engineers
2024
Sensitivity Analysis of Wind Turbine Broadband Noise Estimation to Semi-Empirical Models Parameters
Journal of Basic & Applied Sciences
2023
Surrogate modeling of the aeroacoustics of an NM80 wind turbine
INTERNATIONAL JOURNAL OF TURBOMACHINERY, PROPULSION AND POWER
2023
Characterization of high-pressure hydrogen leakages
Proceedings of the ASME Turbo Expo
2023
Challenges of renewable energy communities on small Mediterranean islands: A case study on Ponza island
RENEWABLE ENERGY
2023
A Machine-Learnt Wall Function for Rotating Diffusers
Volume 1: Aircraft Engine; Fans and Blowers
2021
A Machine-Learnt Wall Function for Rotating Diffusers
JOURNAL OF TURBOMACHINERY
2021
Cascade With Sinusoidal Leading Edges: Identification And Quantification of Deflection With Unsupervised Machine Learning.
Proceedings of the ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. Volume 1:
2021
Assessment of MULTALL as computational fluid dynamics code for the analysis of tube-axial fans
JOURNAL OF TURBOMACHINERY
2021
Machine learnt synthetic turbulence for LES inflow conditions
Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards
2020
Development of a data-driven model for turbulent heat transfer in turbomachinery
E3S WEB OF CONFERENCES
2020
Prediction of ventilation effectiveness for lm9000 package with machine learning
Proceedings of the ASME Turbo Expo
2020
Identification of losses in turbomachinery with machine learning
Proceedings of the ASME Turbo Expo
2020
Numerical investigation of CSP air cooled condenser fan
E3S Web of Conferences
2020
1
2
3
seguente ›
ultima »
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma