1-20 of 688
Electric Power
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
Proceedings Papers

Feasibility of Achieving 62% Combined Cycle Efficiency With a 200 MW Gas Turbine

S. Can (John) Gulen, Justin Zachary
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A003, June 13–17, 2022
Paper No: GT2022-81807
DOI: https://doi.org/10.1115/GT2022-81807
View Paper
PDF
Topics: Combined cycles, Cycles, Gas turbines
Proceedings Papers

Root Cause Analysis of the Lack of Market Success of Micro Gas Turbine Systems

Giuseppe Tilocca, D. Sánchez, M. Torres García
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A004, June 13–17, 2022
Paper No: GT2022-82146
DOI: https://doi.org/10.1115/GT2022-82146
View Paper
PDF
Topics: Micro gas turbines, Root cause analysis, Combined heat and power, Emissions, Internal combustion engines, Microturbines, Acoustic emissions, Economics , Electricity (Physics), Maintenance
Proceedings Papers

Dry Low NOx (DLN) Combustion System Operability Considerations

Leonard Angello, Bobby Noble, Rob Steele, Mitch Cohen, Benjamin Emerson
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A005, June 13–17, 2022
Paper No: GT2022-82667
DOI: https://doi.org/10.1115/GT2022-82667
View Paper
PDF
Topics: Combustion systems, Gas turbines, Nitrogen oxides
Proceedings Papers

Combined Cycle, Heat Pump, and Thermal Storage Integration: Techno-Economic Sensitivity to Market and Climatic Conditions Based on a European and United States Assessment

Alberto Vannoni, Jose Angel Garcia, Rafael Guedez, Alessandro Sorce, Aristide Fausto Massardo
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A006, June 13–17, 2022
Paper No: GT2022-82698
DOI: https://doi.org/10.1115/GT2022-82698
View Paper
PDF
Topics: Combined cycle gas turbines, Combined cycles, Economics , Heat pumps, Thermal energy storage
Proceedings Papers

Improving Gas Turbine Maintenance Quality

Leonard Angello, John Scheibel, David Noble, Nick Smith
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A007, June 13–17, 2022
Paper No: GT2022-82701
DOI: https://doi.org/10.1115/GT2022-82701
View Paper
PDF
Topics: Gas turbines, Maintenance, Quality control
Proceedings Papers

Using Engineering Enhanced AI to Forecast Combined Cycle Power Plant Performance in the Presence of Uncertain Weather Conditions

Christopher A. Perullo, Lea Boche, Alex Redling, Jamie Lim, Woosung Choi, Timothy C. Lieuwen, David Noble
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A008, June 13–17, 2022
Paper No: GT2022-82718
DOI: https://doi.org/10.1115/GT2022-82718
View Paper
PDF
Topics: Combined cycle power stations, Modeling, Power stations, Uncertainty, Artificial intelligence, Combined cycles, Economics , Energy generation, Gas turbines, Heat
Proceedings Papers

Power and Hydrogen Co-Production in Flexible “Powdrogen” Plants

Alessandro de Cataldo, Marco Astolfi, Paolo Chiesa, Stefano Campanari, Emanuele Martelli, Paolo Silva, Stefano Bedogni, Luca Ottolina, Marco Tappani, Matteo C. Romano
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A001, June 13–17, 2022
Paper No: GT2022-80406
DOI: https://doi.org/10.1115/GT2022-80406
View Paper
PDF
Topics: Carbon capture and storage, Hydrogen
Proceedings Papers

A Proven Engine Optimizer for the Aeroderivative Industry: Challenges and Solutions

Nicolas Demougeot, Franklin van den Hout, Danny Grobbe, Wenping Wang
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A009, June 13–17, 2022
Paper No: GT2022-83026
DOI: https://doi.org/10.1115/GT2022-83026
View Paper
PDF
Topics: Engines, Gas turbines, Emissions, Dynamic models, Combustion systems, Combustion, Control equipment, Dynamics (Mechanics), Combustion chambers, Computer software
Proceedings Papers

Techno-Economic Dispatch Analysis of a Case Study Consisting of Micro Gas Turbines Using Real-Time Data

Hasan Huseyin Uslu, Andrea Vinci, Matteo Saviozzi, Gabriele Mosaico, Mohsen Assadi, Federico Silvestro, Homam Nikpey Somehsaraei
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A011, June 13–17, 2022
Paper No: GT2022-83437
DOI: https://doi.org/10.1115/GT2022-83437
View Paper
PDF
Topics: Combined heat and power, Economics , Hydrogen, Micro gas turbines
Proceedings Papers

Gas Turbine’s Role in Energy Transition

S. Can Gülen, Martin Curtis
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A002, June 13–17, 2022
Paper No: GT2022-81802
DOI: https://doi.org/10.1115/GT2022-81802
View Paper
PDF
Topics: Carbon, Carbon capture and storage, Carbon dioxide, Coal, Combined cycles, Combustion, Computer software, Cycles, Electric power generation, Electricity (Physics)
Proceedings Papers

Gas Turbine Monitoring Solutions Assessment and Roadmaps

Benjamin Emerson, David Wu, Leonard Angello, David R. Noble
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A010, June 13–17, 2022
Paper No: GT2022-83085
DOI: https://doi.org/10.1115/GT2022-83085
View Paper
PDF
Topics: Gas turbines, Instrumentation
Proceedings Papers

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
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A003, June 7–11, 2021
Paper No: GT2021-58933
DOI: https://doi.org/10.1115/GT2021-58933
View Paper
PDF
Topics: Data fusion, Turbines, Teams, Failure, Bone, Collaboration, Combustion, Design, Energy generation, Engineering disciplines
Proceedings Papers

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
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A002, June 7–11, 2021
Paper No: GT2021-58698
DOI: https://doi.org/10.1115/GT2021-58698
View Paper
PDF
Topics: Failure, Flow simulation, Machinery, Pressure, Steam turbines, Time series
Proceedings Papers

Application of Ultra-Low NOx Combustor to the MHPS Existing Gas Turbine

Takashi Nishiumi, Hirofumi Ohara, Kotaro Miyauchi, Sosuke Nakamura, Toshishige Ai, Masahito Kataoka
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A001, June 7–11, 2021
Paper No: GT2021-02403
DOI: https://doi.org/10.1115/GT2021-02403
View Paper
PDF
Topics: Combustion chambers, Gas turbines, Nitrogen oxides, Design, Emissions, Combustion, Control systems, High pressure (Physics), Nozzles, Temperature
Proceedings Papers

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
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A009, June 7–11, 2021
Paper No: GT2021-59572
DOI: https://doi.org/10.1115/GT2021-59572
View Paper
PDF
Topics: Gas turbines, Maintenance, Stress, Combined cycle gas turbines, Computer software, Emissions, Pattern recognition, Physics, Power stations, Sensors
Proceedings Papers

GT36 Turbine Development and Full-Scale Validation

S. Naik, B. Stephan, M. Henze
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A008, June 7–11, 2021
Paper No: GT2021-59470
DOI: https://doi.org/10.1115/GT2021-59470
View Paper
PDF
Topics: Cooling, Gas turbines, Turbines, Temperature, Instrumentation, Metals, Power stations, Turbine blades, Aerodynamics, Airfoils
Proceedings Papers

Turn-Down Capability of Ansaldo Energia’s GT26

Ralf Jakoby, Jörg Rinn, Christoph Appel, Adrien Studerus
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A007, June 7–11, 2021
Paper No: GT2021-59457
DOI: https://doi.org/10.1115/GT2021-59457
View Paper
PDF
Topics: Combined cycles, Combustion chambers, Combustion systems, Compressors, Cycles, Emissions, Energy generation, Engines, Flow (Dynamics), Fuels
Proceedings Papers

Experimental Development of On-Line Flame Transfer Function Measurements for Fielded Gas Turbines

Austin Matthews, Anna Cobb, Subodh Adhikari, David Wu, Tim Lieuwen, Jim Blust, Benjamin Emerson
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A006, June 7–11, 2021
Paper No: GT2021-59317
DOI: https://doi.org/10.1115/GT2021-59317
View Paper
PDF
Topics: Flames, Gas turbines, Transfer functions
Proceedings Papers

Achieving Better Power Plant Guarantees Through a New Exergy-Based Approach for the HRSG

Raub W. Smith
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A005, June 7–11, 2021
Paper No: GT2021-59291
DOI: https://doi.org/10.1115/GT2021-59291
View Paper
PDF
Topics: Exergy, Heat recovery steam generators, Power stations
Proceedings Papers

Prediction Enhancement of Machine Learning Using Time Series Modeling in Gas Turbines

Vipul Goyal, Mengyu Xu, Jayanta Kapat, Ladislav Vesely
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A004, June 7–11, 2021
Paper No: GT2021-59082
DOI: https://doi.org/10.1115/GT2021-59082
View Paper
PDF
Topics: Blades, Combustion, Combustion systems, Cooling systems, Flow (Dynamics), Fuels, Gas turbines, Machine learning, Modeling, Power stations