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Proceedings Papers
Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power
Front Matter
Controls, Diagnostics, and Instrumentation
Considerations for the Extension of Gas Path Analysis To Electrified Aircraft Propulsion Systems
GT 2021; V004T05A001https://doi.org/10.1115/GT2021-58578
Topics:
Aircraft propulsion
,
Engines
,
Turbomachinery
,
Aircraft
,
Casting
,
Electronic systems
,
Gas turbines
,
Hardware
,
Parameter estimation
,
Stress
Binary Repetitive Model Predictive Active Flow Control Applied to an Annular Compressor Stator Cascade With Periodic Disturbances
GT 2021; V004T05A003https://doi.org/10.1115/GT2021-58744
Topics:
Cascades (Fluid dynamics)
,
Compressors
,
Flow control
,
Stators
,
Flow (Dynamics)
,
Pressure
,
Suction
,
Combustion
,
Corners (Structural elements)
,
Disks
Characterisation and Validation of an Optical Pressure Sensor for Combustion Monitoring at Low Frequency
Gianluca Nicchiotti, Stephane A. Page, Krzysztof Solinski, Lukas Andracher, Nina Paulitsch, Fabrice Giuliani
GT 2021; V004T05A005https://doi.org/10.1115/GT2021-59103
Topics:
Combustion
,
Pressure sensors
,
Pressure
,
High temperature
,
Chain
,
Combustion systems
,
Computer software
,
Dynamics (Mechanics)
,
Emissions
,
Equipment performance
A Lesson on Operationalizing Machine Learning for Predictive Maintenance of Gas Turbines
Paolo Pileggi, Elena Lazovik, Ron Snijders, Lars-Uno Axelsson, Sietse Drost, Giulio Martinelli, Max de Grauw, Joris Graff
GT 2021; V004T05A006https://doi.org/10.1115/GT2021-59249
Topics:
Gas turbines
,
Machine learning
,
Maintenance
Hot-Wire Measurements in Non-Calibrated Conditions
GT 2021; V004T05A007https://doi.org/10.1115/GT2021-59259
Topics:
Wire
,
Calibration
,
Forced convection
,
Pressure
,
Temperature
,
Errors
,
Flow (Dynamics)
,
Heat transfer
,
Accuracy and precision
,
Computer simulation
A Novel Gas Path Fault Diagnostic Model for Gas Turbine Based on Explainable Convolutional Neural Network With LIME Method
GT 2021; V004T05A008https://doi.org/10.1115/GT2021-59289
Topics:
Artificial neural networks
,
Gas turbines
,
Fault diagnosis
,
Aviation
,
Energy industry
,
Failure mechanisms
,
Maintenance
,
Sensors
Revolutionary Vertical Lift Technology (RVLT) Side-by-Side Hybrid Concept Vehicle Powertrain Dynamic Model
Santino J. Bianco, Christine T. Chevalier, Jonathan S. Litt, Joshua K. Smith, Jeffryes W. Chapman, Jonathan L. Kratz
GT 2021; V004T05A009https://doi.org/10.1115/GT2021-59375
Topics:
Dynamic models
,
Vehicles
Design and Validation of a Novel Turbogenerator’s Robotized Inspection System
GT 2021; V004T05A010https://doi.org/10.1115/GT2021-59546
Topics:
Design
,
Generators
,
Inspection
,
Maintenance
,
Robotics
,
Robots
,
Sensors
,
Acoustics
,
Data collection
,
Downtime
Reconstruction of Temperature Distribution for a Turbulent Free Jet Using Background Oriented Schlieren
GT 2021; V004T05A011https://doi.org/10.1115/GT2021-59690
Topics:
Temperature distribution
,
Turbulence
,
Nozzles
,
Temperature
,
Algorithms
,
Chemically reactive flow
,
Displacement
,
Flow (Dynamics)
,
Steady state
,
Thermocouples
Uncertainty in High-Pressure Stator Performance Measurement in an Annular Cascade at Engine-Representative Reynolds and Mach
Lakshya Bhatnagar, Guillermo Paniagua, David G. Cuadrado, Papa Aye N. Aye-Addo, Antonio Castillo Sauca, Francisco Lozano, Matthew Bloxham
GT 2021; V004T05A012https://doi.org/10.1115/GT2021-59702
Topics:
Cascades (Fluid dynamics)
,
Engines
,
High pressure (Physics)
,
Stators
,
Uncertainty
,
Turbines
,
Calibration
,
Probes
,
Uncertainty analysis
,
Valves
Development of a Lifetime Pressure Sensitive Paint Procedure for High-Pressure Vane Testing
Papa Aye N. Aye-Addo, Guillermo Paniagua, David G. Cuadrado, Lakshya Bhatnagar, Antonio Castillo Sauca, James Braun, Mateo Gomez-Gomez, Terrence Meyer, Matthew Bloxham
GT 2021; V004T05A014https://doi.org/10.1115/GT2021-59886
Topics:
High pressure (Physics)
,
Paints
,
Pressure
,
Testing
,
Lasers
,
Turbines
,
Calibration
,
Flow (Dynamics)
,
Uncertainty
,
Wind
Adjustment and Validation of Monitoring System Algorithms on the Simulated Historical Data of an Aircraft Engine Fleet
GT 2021; V004T05A015https://doi.org/10.1115/GT2021-60020
Topics:
Aircraft engines
,
Algorithms
,
Monitoring systems
,
Engines
,
Gas turbines
,
Actuators
,
Computer software
,
Propulsion
,
Sensors
,
Simulation
Anomaly Detection for Large Fleets of Industrial Equipment: Utilizing Machine Learning With Applications to Power Plant Monitoring
GT 2021; V004T05A016https://doi.org/10.1115/GT2021-60116
Topics:
Machine learning
,
Power stations
,
Machinery
,
Gas turbines
,
Algorithms
,
Errors
,
Failure
,
Model development
,
Neural network models
,
Reliability
An Efficient Prediction Method for the Azimuthal Migration of Combustion Inhomogeneity in Multi-Stage Cooled Turbines
GT 2021; V004T05A017https://doi.org/10.1115/GT2021-60220
Topics:
Combustion
,
Turbines
,
Annulus
,
Simulation
,
Thermocouples
,
Combustion chambers
,
Errors
,
Exhaust systems
,
Steady state
,
Temperature
Acoustic Pyrometry Robustness to Time of Flight Estimation Errors
GT 2021; V004T05A018https://doi.org/10.1115/GT2021-60266
Topics:
Acoustics
,
Errors
,
Flight
,
Robustness
,
Temperature measurement
Cycle Innovations
Assessment of Engine Operability and Overall Performance for Parallel Hybrid Electric Propulsion Systems for a Single-Aisle Aircraft
GT 2021; V004T06A001https://doi.org/10.1115/GT2021-58655
Topics:
Aircraft
,
Electric propulsion
,
Engines
,
Pressure
,
Compressors
,
Gas turbines
,
High pressure (Physics)
,
Weight (Mass)
,
Electricity (Physics)
,
Emissions
Analysis of the Emission Reduction Potential and Combustion Stability Limits of a Hydrogen-Fired Gas Turbine With External Exhaust Gas Recirculation
GT 2021; V004T06A002https://doi.org/10.1115/GT2021-58674
Topics:
Combustion
,
Emissions
,
Exhaust gas recirculation
,
Gas turbines
,
Hydrogen
,
Stability
,
Flames
,
Combustion chambers
,
Fuels
,
Nitrogen oxides
Prediction and Mitigation Strategies for Compressor Instabilities due to Large Pressurized Volumes in Micro Gas Turbine Systems
GT 2021; V004T06A004https://doi.org/10.1115/GT2021-59106
Topics:
Compressors
,
Micro gas turbines
,
Cycles
,
Pressure
,
Pressurized gas
,
Simulation
,
Surges
,
Transients (Dynamics)
,
Turbines
,
Combustion chambers
Intercooler Parametric Analysis for the IRA Engine Cycle Performance Augmentation
Emmanouil Alexiou, Zinon Vlahostergios, Christina Salpingidou, Fabian Donus, Dimitrios Misirlis, Kyros Yakinthos
GT 2021; V004T06A006https://doi.org/10.1115/GT2021-59187
Topics:
Cycles
,
Engines
,
Aircraft engines
,
Design
,
Compressors
,
Fuel consumption
,
Heat exchangers
,
Combustion chambers
,
Emissions
,
Exhaust systems
Ancillary Services Potential for Flexible Combined Cycles
GT 2021; V004T06A015https://doi.org/10.1115/GT2021-59587
Topics:
Combined cycle gas turbines
,
Combined cycles
,
Design
,
Fuels
,
Gas turbines
,
Heat pumps
,
Modeling
,
Nuclear decommissioning
,
Plant layout
,
Profitability
Turboprop Engine Loading During High and Low Maneuver Intensity Flight Mode
GT 2021; V004T06A017https://doi.org/10.1115/GT2021-59668
Topics:
Creep
,
Engines
,
Flight
,
Gas turbines
,
Aircraft
,
Air Force
,
Aircraft engines
,
Computer software
,
Cycles
,
Failure mechanisms
Air-Steam Dual Loop Gas Turbine Engine With Pulse Detonation Combustion
GT 2021; V004T06A018https://doi.org/10.1115/GT2021-59983
Topics:
Combustion
,
Cycles
,
Explosions
,
Gas turbines
,
Rankine cycle
,
Steam
Control Strategy Development for Optimized Operational Flexibility From Humidified Micro Gas Turbine: Saturation Tower Performance Assessment
Ward De Paepe, Alessio Pappa, Diederik Coppitters, Marina Montero Carrero, Panagiotis Tsirikoglou, Francesco Contino
GT 2021; V004T06A019https://doi.org/10.1115/GT2021-60209
Topics:
Micro gas turbines
,
Cycles
,
Fluids
,
Water
,
Electric load
,
Stress
,
Combined heat and power
,
Distributed power generation
,
Flow (Dynamics)
,
Heat
The Effect of Compressibility Factor on Turbine Performance
GT 2021; V004T06A020https://doi.org/10.1115/GT2021-60241
Topics:
Compressibility
,
Turbines
,
Fluids
,
Boundary layers
,
Shock (Mechanics)
Cycle Innovations: Energy Storage
Techno-Economic Analysis of a Hydrogen Production and Storage System for the On-Site Fuel Supply of Hydrogen-Fired Gas Turbines
GT 2021; V004T07A001https://doi.org/10.1115/GT2021-59073
Topics:
Economics
,
Fuels
,
Gas turbines
,
Hydrogen
,
Hydrogen production
,
Storage
,
Renewable energy
,
Carbon dioxide
,
Hydrogen storage
,
Design
Off-Design of a Pumped Thermal Energy Storage Based on Closed Brayton Cycles
GT 2021; V004T07A004https://doi.org/10.1115/GT2021-60185
Topics:
Brayton cycle
,
Design
,
Storage
,
Stress
,
Thermal energy storage
Education
Student Research Projects With Industrial Impact
GT 2021; V004T08A003https://doi.org/10.1115/GT2021-58948
Topics:
Students
,
Collaboration
,
Design
,
Undergraduate research
,
Aerospace industry
,
Career development
,
Compressors
,
Cycles
,
Ducts
,
Engines
Educational Effectiveness of Brayton Cycle Compare and Solve Interactive Gas Turbine Simulator
GT 2021; V004T08A004https://doi.org/10.1115/GT2021-59622
Topics:
Brayton cycle
,
Gas turbines
,
Students
,
Homework
,
Cycles
,
Engines
,
Aerospace engineering
,
Design
,
Energy generation
,
Engineering teachers
Survey of Calculation Methods for Polytropic Efficiencies
GT 2021; V004T08A005https://doi.org/10.1115/GT2021-59967
Topics:
Compression
,
Computational methods
,
Fluids
,
Gases
,
Pressure
,
Thermodynamic power cycles
,
Turbomachinery
,
Vapors
Electric Power
Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines
Kazuhiko Komatsu, Hironori Miyazawa, Cheng Yiran, Masayuki Sato, Takashi Furusawa, Satoru Yamamoto, Hiroaki Kobayashi
GT 2021; V004T09A002https://doi.org/10.1115/GT2021-58698
Topics:
Failure
,
Flow simulation
,
Machinery
,
Pressure
,
Steam turbines
,
Time series
Data Fusion: A Project Update & Pathway Forward
Salvatore Della Villa, Jr., Robert Steele, Dongwon Shin, Sangkeun (Matt) Lee, Travis Johnston, Yong Liu, Youhai Wen, David Alman, Christopher Perullo
GT 2021; V004T09A003https://doi.org/10.1115/GT2021-58933
Topics:
Data fusion
,
Turbines
,
Teams
,
Failure
,
Bone
,
Collaboration
,
Combustion
,
Design
,
Energy generation
,
Engineering disciplines
Turn-Down Capability of Ansaldo Energia’s GT26
GT 2021; V004T09A007https://doi.org/10.1115/GT2021-59457
Topics:
Combined cycles
,
Combustion chambers
,
Combustion systems
,
Compressors
,
Cycles
,
Emissions
,
Energy generation
,
Engines
,
Flow (Dynamics)
,
Fuels
GT36 Turbine Development and Full-Scale Validation
GT 2021; V004T09A008https://doi.org/10.1115/GT2021-59470
Topics:
Cooling
,
Gas turbines
,
Turbines
,
Temperature
,
Instrumentation
,
Metals
,
Power stations
,
Turbine blades
,
Aerodynamics
,
Airfoils
The EPRI Gas Turbine Digital Twin – a Platform for Operator Focused Integrated Diagnostics and Performance Forecasting
Jamie Lim, Christopher A. Perullo, Joe Milton, Rachel Whitacre, Chris Jackson, Chris Griffin, David Noble, Lea Boche, Steve Seachman, Leonard Angello, Susan Maley, Timothy C. Lieuwen
GT 2021; V004T09A009https://doi.org/10.1115/GT2021-59572
Topics:
Gas turbines
,
Maintenance
,
Stress
,
Combined cycle gas turbines
,
Computer software
,
Emissions
,
Pattern recognition
,
Physics
,
Power stations
,
Sensors