IP Library Granted Patent US 12,264,588
Granted Patent B2
US 12,264,588 · App. 17/687,976 · Granted Apr 1, 2025

Liquid fluid systems including phase detection sensors for turbine engines

Inventors: Arthur William Sibbach (Boxford, MA); Brandon Wayne Miller (Liberty Township, OH)
Assignee: General Electric Company
F01D21/003F02C9/28H03H9/0009H03H9/0014F05D2270/3015F05D2270/303F05D2270/333F05D2270/804
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Quick Facts
Patent No.
US 12,264,588
App. No.
17/687,976
Granted
Apr 1, 2025
Kind
B2
Abstract

A liquid fuel system for a turbine engine may include one or more sensors configured to generate sensor outputs corresponding to one or more phase properties of a fuel supplied to the turbine engine through a fuel pathway, and a controller configured to generate control commands configured to control one or more controllable components of the liquid fuel system based at least in part on the sensor outputs. The one or more sensors may include one or more phase detection sensors. The fuel may include hydrogen. The fuel may have a liquid phase state.

Claims (21)

1. A liquid fuel system for a turbine engine, the liquid fuel system comprising:

one or more sensors configured to generate sensor outputs corresponding to one or more phase properties of a fuel supplied to the turbine engine through a fuel pathway; and

a controller communicatively coupled to the one or more sensors, the controller configured to determine one or more phase properties of the fuel based at least in part on the sensor outputs and to generate control commands configured to control one or more controllable components of the liquid fuel system based at least in part on the sensor outputs, wherein the one or more sensors comprise one or more phase detection sensors, wherein the one or more phase detection sensors comprises an optical sensor, and wherein the one or more phase properties include a phase state of the fuel as at least one of a liquid phase state, a gas phase state, a pericritical phase state, a supercritical phase state, a near-supercritical phase state, and a multiphasic state;

wherein the fuel comprises hydrogen, and wherein the fuel has a liquid phase state; and

wherein the optical sensor comprises an infrared spectrometer, the infrared spectrometer comprising an infrared light source, a measurement window configured to be in contact with the fuel in the fuel pathway, and an infrared detector configured to detect infrared light transmitted through the measurement window.

2. The liquid fuel system of claim 1 , wherein the infrared spectrometer comprises an attenuated total reflection infrared spectrometer configured to detect total internal reflection.

3. The liquid fuel system of claim 1 , comprising:

the one or more controllable components, wherein the one or more controllable components are respectively configured to change one or more of: a temperature of the fuel, a pressure of the fuel, and/or a flow rate of the of the fuel.

4. The liquid fuel system of claim 1 , wherein the controller is configured to determine one or more phase properties of the fuel based at least in part on a correlation between the sensor outputs and the one or more phase properties of the fuel.

5. The liquid fuel system of claim 4 , wherein the controller is configured to determine one or more phase properties of the fuel based at least in part on a level of noise or deviation in sensor outputs.

6. A turbine engine, comprising:

a liquid fuel system configured to supply a fuel to the turbine engine through a fuel pathway, the liquid fuel system comprising one or more controllable components;

one or more sensors configured to generate sensor outputs corresponding to one or more phase properties of the fuel; and

a controller communicatively coupled to the one or more sensors, the controller configured to determine one or more phase properties of the fuel based at least in part on the sensor outputs and to generate control commands configured to control the one or more controllable components based at least in part on the sensor outputs, wherein the one or more sensors comprise one or more phase detection sensors, wherein the one or more phase detection sensors comprises an optical sensor, and wherein the one or more phase properties include a phase state of the fuel as at least one of a liquid phase state, a gas phase state, a pericritical phase state, a supercritical phase state, a near-supercritical phase state, and a multiphasic state;

wherein the fuel comprises hydrogen, and wherein the fuel has a liquid phase state; and

wherein the optical sensor comprises an infrared spectrometer, the infrared spectrometer comprising an infrared light source, a measurement window configured to be in contact with the fuel in the fuel pathway, and an infrared detector configured to detect infrared light transmitted through the measurement window.

7. A non-transitory computer-readable medium comprising computer-executable instructions, which when executed by a processor, cause the processor to perform a method of controlling one or more phase properties of a fuel associated with a liquid fuel system for a turbine engine, the method comprising:

determining sensor outputs generated by one or more sensors, the sensor outputs corresponding to one or more phase properties of a fuel supplied to the turbine engine through a fuel pathway, wherein the one or more sensors comprises an optical sensor, and wherein the one or more phase properties include a phase state of the fuel as at least one of a liquid phase state, a gas phase state, a pericritical phase state, a supercritical phase state, a near-supercritical phase state, and a multiphasic state; and

generating control commands configured to control one or more controllable components of the liquid fuel system based at least in part on the sensor outputs, wherein the one or more sensors comprise one or more phase detection sensors;

wherein the fuel comprises hydrogen, and wherein the fuel has a liquid phase state;

wherein the optical sensor comprises an infrared spectrometer, the infrared spectrometer comprising an infrared light source, a measurement window configured to be in contact with the fuel in the fuel pathway, and an infrared detector configured to detect infrared light transmitted through the measurement window.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 8, 2022
From: MILLER, BRANDON WAYNE
To: GENERAL ELECTRIC COMPANY
Reel/Frame 059197/0805 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 7, 2022
From: SIBBACH, ARTHUR WILLIAM
To: GENERAL ELECTRIC COMPANY
Reel/Frame 059183/0518 →
Continuity (1)
Related Publication 20230279784A1 · Sep 7, 2023
References Cited (64)
US 3039305A · Hall · 1962 [cited by applicant]
US 4756854A · Wegrzyn · 1988 [cited by applicant]
US 4784959A · Wegrzyn · 1988 [cited by applicant]
US 4822743A · Wegrzyn · 1989 [cited by applicant]
US 4844743A · Koblenzer et al. · 1989 [cited by applicant]
US 6984465B2 · Canepa et al. · 2006 [cited by applicant]
US 7192459B2 · Puri et al. · 2007 [cited by applicant]
US 7752885B2 · Huang · 2010 [cited by applicant]
US 7811688B2 · Flynn et al. · 2010 [cited by applicant]
US 7915047B2 · Thorn et al. · 2011 [cited by applicant]
US 8113708B2 · Albertson · 2012 [cited by applicant]
US 8319833B2 · Weinstein et al. · 2012 [cited by applicant]
US 8394553B2 · Flynn et al. · 2013 [cited by applicant]
US 8470933B2 · Thorn et al. · 2013 [cited by applicant]
US 8778545B2 · Lehar et al. · 2014 [cited by applicant]
US 8858679B2 · Buhrman et al. · 2014 [cited by applicant]
US 9022730B2 · Vysohlid et al. · 2015 [cited by applicant]
US 9239008B2 · Ekanayake et al. · 2016 [cited by applicant]
US 9269205B1 · Lamkin et al. · 2016 [cited by applicant]
US 9318757B2 · Koenig et al. · 2016 [cited by applicant]
US 9683910B2 · Ekanayake et al. · 2017 [cited by applicant]
US 10112486B2 · Ban et al. · 2018 [cited by applicant]
US 10222291B2 · Thompson et al. · 2019 [cited by applicant]
US 10286336B2 · Durward · 2019 [cited by applicant]
US 10286408B2 · Lam et al. · 2019 [cited by applicant]
US 10386259B2 · Zhang et al. · 2019 [cited by applicant]
US 10473031B2 · Ellsworth et al. · 2019 [cited by applicant]
US 10578585B1 · Gerardi et al. · 2020 [cited by applicant]
US 10584616B2 · Moxon · 2020 [cited by applicant]
US 10584635B2 · Armstrong et al. · 2020 [cited by applicant]
US 10823066B2 · Miller et al. · 2020 [cited by applicant]
US 11073169B2 · Thatte · 2021 [cited by applicant]
US 11125165B2 · Niergarth et al. · 2021 [cited by applicant]
US 11139491B2 · Kwon et al. · 2021 [cited by applicant]
US 20060257094A1 · McEvoy et al. · 2006 [cited by applicant]
US 20130139897A1 · Kim et al. · 2013 [cited by applicant]
US 20150101419A1 · Hill et al. · 2015 [cited by applicant]
US 20180058972A1 · Zhang · 2018 [cited by examiner]
US 20190003386A1 · Stapp · 2019 [cited by applicant]
US 20200340881A1 · Hattori · 2020 [cited by applicant]
US 20200348662A1 · Cella et al. · 2020 [cited by applicant]
US 20210148283A1 · Niergarth et al. · 2021 [cited by applicant]
CA 885178A · 1971 [cited by applicant]
CN 1627063A · 2005 [cited by applicant]
CN 200990131Y · 2007 [cited by applicant]
EP 0824022A1 · 1996 [cited by examiner]
EP 3805107A1 · 2021 [cited by applicant]
JP 2014025741A · 2014 [cited by applicant]
WO WO2011119338A1 · 2011 [cited by applicant]
Devkota J, Ohodnicki PR, Greve DW. SAW Sensors for Chemical Vapors and Gases. Sensors. 2017; 17(4):801. https://doi.org/10.3390/s17040801 (Year: 2017). [cited by examiner]
Drafts, Acoustic Wave Technology, 2000, https://www.fierceelectronics.com/components/acoustic-wave-technology-sensors (Year: 2000). [cited by examiner]
Proceedings vol. 7314, Photonics in the Transportation Industry: Auto to Aerospace II; 73140A (2009) https://doi.org/10.1117/12.821374 Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States Op… [cited by examiner]
Drafts, Acoustic Wave Technology Sensors, Fierce Electronics, Oct. 2000, 17 Pages. [cited by applicant]
Ke et al., Detecting Phase Transitions in Supercritical Mixtures: An Enabling Tool for Greener Chemical Reactions, Proceedings of the Royal Society A, vol. 466, 2010, pp. 2799-2812. [cited by applicant]
Ke et al., The Phase Equilibrium and Density Studies of the Ternary Mixtures of CO2 + Ar + N2 and CO2 + Ar + H2, Systems Relevance to CCS Technology, International Journal of Greenhouse Gas Control, vol. 56, Jan. 2017, … [cited by applicant]
Fandino et al., Phase Behavior of (CO2 + H2) and (CO2 + N2) at Temperatures Between (218.15 and 303.15) K at Pressures up to 15 MPa, International Journal of Greenhouse Gas Control, vol. 36, May 2015, 39 Pages. [cited by applicant]
Fehrm, Bjorn's Corner: The Challenges of Hydrogen. Part 29. Gas Turbine Heat Management, Mar. 19, 2021, 3 Pages. Accessed on-line at: https://leehamnews.com/2021/03/19/bjorns-comer-the-challenges-of-hydrogen-part-29-gas… [cited by applicant]
Gonzalez-Portillo, A New Concept in Thermal Engineering Optimization: The Pericritical Cycle with Multi-Heating and Its Application to Concentrating Solar Power, Sep. 2019, 233 Pages. (Abstract Only) Mar. 7, 2022 from W… [cited by applicant]
Goos et al., Phase Diagrams of CO2 and CO2-N2 Gas Mixtures and Their Application in Compression Processes, Energy Procedia, vol. 4, 2011, pp. 3778-3785. [cited by applicant]
Javed et al., Thermodynamic Speed of Sound Data for Liquid and Supercritical Alcohols, Journal of Chemical & Engineering Data, vol. 64, No. 3, 2019, pp. 1035-1044. [cited by applicant]
Legoix et al., Phase Equilibria of the CH4-CO2 Binary and the CH4-CO2-H2O Ternary Mixtures in the Presence of a CO2-Rich Liquid Phase, 10122034, Energies, vol. 10, 2017, 11 Pages. [cited by applicant]
Oag et al., Probing the Vapor-Liquid Phase Behaviors of Near-Critical and Supercritical Fluids Using a Shear Mode Piezoelectric Sensor, Analytical Chemistry, vol. 75, No. 3, Feb. 1, 2003, p. 479-485. [cited by applicant]
Park et al., Measurements of Density and Sound Speed in Mixtures Relevant to Supercritical CO2 Cycles, Journal of Energy Resources Technology, vol. 142, Oct. 2020, 7 Pages. [cited by applicant]
Wetenhall et al., The Effect of CO2 Purity on the Development of Pipeline Networks for Carbon Capture and Storage Schemes, International Journal of Greenhouse Gas Control, vol. 30, 2014, pp. 197-211. [cited by applicant]