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    Fuel Cell Temperature Control With a Precombustor in SOFC Gas Turbine Hybrids During Load Changes 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2017:;volume( 014 ):;issue: 003:;page 31006
    Author(s): Zaccaria, Valentina; Branum, Zachary; Tucker, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of high temperature fuel cells, such as solid oxide fuel cells (SOFCs), for power generation is considered a very efficient and clean solution for conservation of energy resources. When the SOFC is coupled with a ...
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    Cold-Air Bypass Characterization for Thermal Management of Fuel Cell Gas Turbine Hybrids 

    Source: Journal of Engineering for Gas Turbines and Power:;2017:;volume( 139 ):;issue: 006:;page 62701
    Author(s): Zaccaria, Valentina; Tucker, David; Traverso, Alberto
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The effect of cathode airflow variation on the dynamics of a fuel cell gas turbine hybrid system was evaluated using a cyber-physical emulator. The coupling between cathode airflow and other parameters, such as turbine ...
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    Advanced Control for Clusters of SOFC/Gas Turbine Hybrid Systems 

    Source: Journal of Engineering for Gas Turbines and Power:;2018:;volume( 140 ):;issue: 005:;page 51703
    Author(s): Rossi, Iacopo; Zaccaria, Valentina; Traverso, Alberto
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of model predictive control (MPC) in advanced power systems can be advantageous in controlling highly coupled variables and optimizing system operations. Solid oxide fuel cell/gas turbine (SOFC/GT) hybrids are an ...
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    Pressurized SOFC System Fuelled by Biogas: Control Approaches and Degradation Impact 

    Source: Journal of Engineering for Gas Turbines and Power:;2021:;volume( 143 ):;issue: 006:;page 061006-1
    Author(s): Ferrari, Mario L.; Zaccaria, Valentina; Kyprianidis, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper shows control approaches for managing a pressurized solid oxide fuel cell (SOFC) system fuelled by biogas. This is an advanced solution to integrate the high efficiency benefits of a pressurized SOFC with a ...
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    Adaptive Control of Microgas Turbine for Engine Degradation Compensation 

    Source: Journal of Engineering for Gas Turbines and Power:;2020:;volume( 142 ):;issue: 004
    Author(s): Zaccaria, Valentina; Ferrari, Mario L.; Kyprianidis, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Microgas turbine (MGT) engines in the range of 1–100 kW are playing a key role in distributed generation applications, due to the high reliability and quick load following that favor their integration with intermittent ...
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    Navigating Technological Risks: An Uncertainty Analysis of Powertrain Technology in Hybrid-Electric Commuter Aircraft 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 004:;page 41004-1
    Author(s): Diamantidou, Dimitra-Eirini; Soibam, Jerol; Zaccaria, Valentina; Kalfas, Anestis I.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study addresses the uncertainties in hybrid-electric powertrain technology for a 19-passenger commuter aircraft, focusing on two future Entry-Into-Service timeframes: 2030 and 2040. The methodology is split into a ...
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    Pressurized SOFC Hybrid Systems: Control System Study and Experimental Verification 

    Source: Journal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 003:;page 31602
    Author(s): Larosa, Luca; Traverso, Alberto; Ferrari, Mario L.; Zaccaria, Valentina
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, two different advanced control approaches for a pressurized solid oxide fuel cell (SOFC) hybrid system are investigated and compared against traditional proportional integral derivative (PID). Both advanced ...
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    A Degradation Diagnosis Method for Gas Turbine—Fuel Cell Hybrid Systems Using Bayesian Networks 

    Source: Journal of Engineering for Gas Turbines and Power:;2021:;volume( 143 ):;issue: 005:;page 054502-1
    Author(s): Mantelli, Luca; Zaccaria, Valentina; Ferrari, Mario Luigi; Kyprianidis, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper aims to develop and test Bayesian belief network-based diagnosis methods, which can be used to predict the most likely degradation levels of turbine, compressor, and fuel cell (FC) in a hybrid system based on ...
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