1-19 of 19
Stefano Minotti
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks

Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Journal: Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy
Publisher: ASME
Article Type: Research Papers
J. Energy Res. Technol. Part A. May 2025, 1(3): 032102.
Paper No: JERTA-24-1154
https://doi.org/10.1115/1.4067273
Published Online: January 3, 2025
View Article titled, Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks
Open the PDF for Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks in another window
Journal Articles

Numerical Implementation of Electrostatic Solver Within OpenFOAM for Gas Turbine Intake Filtration

Michele Pinelli, Mattia Piovan, Alessio Suman, Nicola Zanini, Stefano Rossin, Stefano Minotti
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. February 2025, 147(2): 021012.
Paper No: TURBO-24-1279
https://doi.org/10.1115/1.4066817
Published Online: November 12, 2024
View Article titled, Numerical Implementation of Electrostatic Solver Within OpenFOAM for Gas Turbine Intake Filtration
Open the PDF for Numerical Implementation of Electrostatic Solver Within OpenFOAM for Gas Turbine Intake Filtration in another window
Topics: Electric fields, Filters, Filtration, Flow (Dynamics), Gas turbines, Particulate matter, Wire, Collisions (Physics), Electrodes, Computational fluid dynamics
Proceedings Papers

Machine Learning Regression of Under-Expanded Hydrogen Jets

Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Proc. ASME. GT2024, Volume 2: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels, V002T03A032, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128704
https://doi.org/10.1115/GT2024-128704
View Paper titled, Machine Learning Regression of Under-Expanded Hydrogen Jets
Open the PDF for Machine Learning Regression of Under-Expanded Hydrogen Jets in another window
Topics: Fuels, Graph neural networks, Hydrogen, Jets, Leakage, Machine learning
Proceedings Papers

Application of Ultrasound Gas Detectors in Gas Turbine Package

Viola Sorrentino, Riccardo Viti, Stefano Minotti, Giovanni Tonno, Francesco Azzini
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A018, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124247
https://doi.org/10.1115/GT2024-124247
View Paper titled, Application of Ultrasound Gas Detectors in Gas Turbine Package
Open the PDF for Application of Ultrasound Gas Detectors in Gas Turbine Package in another window
Topics: Gas detectors, Gas turbines, Ultrasonic applications, Ultrasound
Proceedings Papers

Experimental Study of Fuel Gas Leak in a Real Scale GT Enclosure

Alessandro Ricco, Gabriele Lucherini, Stefano Minotti, Francesco Azzini, Valentina Presotto, Stefano Vanghi
Proc. ASME. GT2024, Volume 9: Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications; Steam Turbine, V009T19A022, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128879
https://doi.org/10.1115/GT2024-128879
View Paper titled, Experimental Study of Fuel Gas Leak in a Real Scale GT Enclosure
Open the PDF for Experimental Study of Fuel Gas Leak in a Real Scale GT Enclosure in another window
Topics: Gaseous fuels, Leakage
Proceedings Papers

CFD Study for Mitigation of H2 Explosion Inside Gas Turbine Enclosure

Elena De Leo, Eugenio Quartieri, Stefano Minotti, Stefano Rossin
Proc. ASME. GT2024, Volume 9: Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications; Steam Turbine, V009T19A021, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128720
https://doi.org/10.1115/GT2024-128720
View Paper titled, CFD Study for Mitigation of H2 Explosion Inside Gas Turbine Enclosure
Open the PDF for CFD Study for Mitigation of H2 Explosion Inside Gas Turbine Enclosure in another window
Topics: Computational fluid dynamics, Explosions, Gas turbines, Hydrogen
Proceedings Papers

Numerical vs Experimental Investigation on Fuel Gas Leak Dispersion in a Real Scale GT Enclosure

Gabriele Lucherini, Elena De Leo, Stefano Minotti, Valentina Presotto, Rajnish Kumar Singh, Jegan Vishnu Raju Susila
Proc. ASME. GT2024, Volume 9: Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications; Steam Turbine, V009T19A020, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128705
https://doi.org/10.1115/GT2024-128705
View Paper titled, Numerical vs Experimental Investigation on Fuel Gas Leak Dispersion in a Real Scale GT Enclosure
Open the PDF for Numerical vs Experimental Investigation on Fuel Gas Leak Dispersion in a Real Scale GT Enclosure in another window
Topics: Computational fluid dynamics, Gaseous fuels, Leakage
Proceedings Papers

An Innovative Filtering Apparatus for Gas Turbines

Nicola Zanini, Alessio Suman, Mattia Piovan, Michele Pinelli, Stefano Rossin, Stefano Minotti
Proc. ASME. GT2024, Volume 9: Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications; Steam Turbine, V009T19A019, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128568
https://doi.org/10.1115/GT2024-128568
View Paper titled, An Innovative Filtering Apparatus for Gas Turbines
Open the PDF for An Innovative Filtering Apparatus for Gas Turbines in another window
Topics: Filtration, Gas turbines, Particulate matter
Proceedings Papers

Numerical Implementation of Electrostatic Solver Within OpenFOAM for GT Intake Filtration

Michele Pinelli, Mattia Piovan, Alessio Suman, Nicola Zanini, Stefano Rossin, Stefano Minotti
Proc. ASME. GT2024, Volume 12B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing, V12BT31A010, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128641
https://doi.org/10.1115/GT2024-128641
View Paper titled, Numerical Implementation of Electrostatic Solver Within OpenFOAM for GT Intake Filtration
Open the PDF for Numerical Implementation of Electrostatic Solver Within OpenFOAM for GT Intake Filtration in another window
Topics: Filtration, Gas turbines, Particulate matter, Separation (Technology)
Journal Articles

Characterization of High-Pressure Hydrogen Leakages

Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Ermanno Lo Schiavo, Stefano Minotti, Alessandro Corsini
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. May 2024, 146(5): 051019.
Paper No: GTP-23-1331
https://doi.org/10.1115/1.4063830
Published Online: December 26, 2023
View Article titled, Characterization of High-Pressure Hydrogen Leakages
Open the PDF for Characterization of High-Pressure Hydrogen Leakages in another window
Topics: Cross-flow, Fuels, Hydrogen, Jets, Leakage, Methane, Ventilation, Pressure, Safety, High pressure (Physics)
Proceedings Papers

Gas Leak Ignition Study for 100% H2 Gas Turbine Package

Stefano Minotti, Andrea Nenciolini, Eugenio Quartieri, Stefano Rossin, Federico Sorgonà, Olaf Brekke, Jens Kristian Holen, Bente Johannessen
Proc. ASME. GT2023, Volume 9: Microturbines, Turbochargers, and Small Turbomachines; Oil and Gas Applications, V009T19A012, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-103613
https://doi.org/10.1115/GT2023-103613
View Paper titled, Gas Leak Ignition Study for 100% H2 Gas Turbine Package
Open the PDF for Gas Leak Ignition Study for 100% H2 Gas Turbine Package in another window
Topics: Gas turbines, Hydrogen, Ignition, Leakage
Proceedings Papers

Experimental and Numerical Investigation of Forced Ventilation Loss in Gas Turbine Package

Antonio Asti, Federico Crugnola, Elena De Leo, Gabriele Lucherini, Stefano Minotti, Rajnish Kumar Singh
Proc. ASME. GT2023, Volume 9: Microturbines, Turbochargers, and Small Turbomachines; Oil and Gas Applications, V009T19A011, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-103144
https://doi.org/10.1115/GT2023-103144
View Paper titled, Experimental and Numerical Investigation of Forced Ventilation Loss in Gas Turbine Package
Open the PDF for Experimental and Numerical Investigation of Forced Ventilation Loss in Gas Turbine Package in another window
Topics: Alternating current (Electricity), Gas turbines, Natural convection, Ventilation
Proceedings Papers

Characterization of High-Pressure Hydrogen Leakages

Davide Cerbarano, Ermanno Lo Schiavo, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Proc. ASME. GT2023, Volume 2: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels, V002T03A007, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101383
https://doi.org/10.1115/GT2023-101383
View Paper titled, Characterization of High-Pressure Hydrogen Leakages
Open the PDF for Characterization of High-Pressure Hydrogen Leakages in another window
Topics: Cross-flow, Gas turbines, High pressure (Physics), Hydrogen, Jets, Leakage, Safety, Ventilation
Proceedings Papers

Prediction of Ventilation Effectiveness for LM9000 Package With Machine Learning

Alessandro Corsini, Giovanni Delibra, Marco Giovannelli, Gabriele Lucherini, Stefano Minotti, Stefano Rossin, Lorenzo Tieghi
Proc. ASME. GT2020, Volume 9: Oil and Gas Applications; Organic Rankine Cycle Power Systems; Steam Turbine, V009T21A006, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14916
https://doi.org/10.1115/GT2020-14916
View Paper titled, Prediction of Ventilation Effectiveness for LM9000 Package With Machine Learning
Open the PDF for Prediction of Ventilation Effectiveness for LM9000 Package With Machine Learning in another window
Topics: Machine learning, Ventilation, Computational fluid dynamics, Artificial neural networks, Simulation, Gas turbines, Acoustics, Algorithms, Explosions, Flanges
Proceedings Papers

Identification of Poorly Ventilated Zones in Gas-Turbine Enclosures With Machine Learning

Alessandro Corsini, Giovanni Delibra, Marco Giovannelli, Gabriele Lucherini, Stefano Minotti, Stefano Rossin, Lorenzo Tieghi
Proc. ASME. GT2019, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards, V001T09A003, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91198
https://doi.org/10.1115/GT2019-91198
View Paper titled, Identification of Poorly Ventilated Zones in Gas-Turbine Enclosures With Machine Learning
Open the PDF for Identification of Poorly Ventilated Zones in Gas-Turbine Enclosures With Machine Learning in another window
Topics: Gas turbines, Machine learning, Artificial neural networks, Computation, Flow (Dynamics), Gaseous fuels, Leakage, Reynolds-averaged Navier–Stokes equations, Ventilation, Air flow
Proceedings Papers

Modelling of Sonic Jets for Gas Leak Applications

Stefano Minotti, Alessandro Corsini, Giovanni Delibra, Gabriele Lucherini, Stefano Rossin, Lorenzo Tieghi, Stefania Traldi
Proc. ASME. GT2019, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T27A024, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91199
https://doi.org/10.1115/GT2019-91199
View Paper titled, Modelling of Sonic Jets for Gas Leak Applications
Open the PDF for Modelling of Sonic Jets for Gas Leak Applications in another window
Topics: Jets, Leakage, Modeling, Gaseous fuels, Computational fluid dynamics, Engineering simulation, Gas turbines, Simulation, Design, Explosives
Proceedings Papers

The Impact of Model Assumptions on the CFD Assisted Design of Gas Turbine Packages

Gabriele Lucherini, Vittorio Michelassi, Stefano Minotti
Proc. ASME. GT2019, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T27A020, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90871
https://doi.org/10.1115/GT2019-90871
View Paper titled, The Impact of Model Assumptions on the CFD Assisted Design of Gas Turbine Packages
Open the PDF for The Impact of Model Assumptions on the CFD Assisted Design of Gas Turbine Packages in another window
Topics: Computational fluid dynamics, Design, Gas turbines, Flow (Dynamics), Leakage, Temperature, Simulation, Ventilation, Acoustics, Diffusion (Physics)
Proceedings Papers

Experimental and Numerical Investigation on Gas Turbine Package Scale Model

Gabriele Lucherini, Stefano Minotti, Giacomo Ragni, Francesco Bologna
Proc. ASME. GT2018, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T27A018, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-75694
https://doi.org/10.1115/GT2018-75694
View Paper titled, Experimental and Numerical Investigation on Gas Turbine Package Scale Model
Open the PDF for Experimental and Numerical Investigation on Gas Turbine Package Scale Model in another window
Topics: Gas turbines, Flow (Dynamics), Computational fluid dynamics, Design, Ventilation, Leakage, Ducts, Fluids, Instrumentation, Pipes
Proceedings Papers

Numerical Assessment of Fan-Ducting Coupling for Gas Turbine Ventilation Systems

Alessandro Corsini, Giovanni Delibra, Stefano Minotti, Stefano Rossin
Proc. ASME. GT2015, Volume 1: Aircraft Engine; Fans and Blowers; Marine, V001T09A005, June 15–19, 2015
Publisher: American Society of Mechanical Engineers
Paper No: GT2015-42449
https://doi.org/10.1115/GT2015-42449
View Paper titled, Numerical Assessment of Fan-Ducting Coupling for Gas Turbine Ventilation Systems
Open the PDF for Numerical Assessment of Fan-Ducting Coupling for Gas Turbine Ventilation Systems in another window
Topics: Gas turbines, Ventilation equipment, Ventilation, Filters, Ducts, Fans, Flow (Dynamics), Pressure, Reynolds-averaged Navier–Stokes equations, Modeling