Topics: Annealing , Chemical stability , Heat treating (Metalworking) , Intermediate temperature solid oxide fuel cells , Particulate matter , Surface science , Crystal lattices

Study on Nonlinear Identification SOFC Temperature Model Based on Particle Swarm Optimization–Least-Squares Support Vector Regression

Jinwei Chen, Huisheng Zhang, Shilie Weng

J. Electrochem. En. Conv. Stor. August 2017, 14(3): 031003. doi: https://doi.org/10.1115/1.4036805

Abstract

View articletitled, Study on Nonlinear Identification SOFC Temperature Model Based on Particle Swarm Optimization–Least-Squares Support Vector Regression

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Topics: Particle swarm optimization , Solid oxide fuel cells , Temperature , Anodes , Algorithms

Recursive System Identification and Simulation of Model Predictive Control Based on Experimental Data to Control the Cathode Side Parameters of the Hybrid Fuel Cell/Gas Turbine

Bernardo Restrepo, David Tucker, Larry E. Banta

J. Electrochem. En. Conv. Stor. August 2017, 14(3): 031004. doi: https://doi.org/10.1115/1.4036944

Abstract

View articletitled, Recursive System Identification and Simulation of Model Predictive Control Based on Experimental Data to Control the Cathode Side Parameters of the Hybrid Fuel Cell/Gas Turbine

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Topics: Air flow , Control equipment , Design , Dynamics (Mechanics) , Electric load , Flow (Dynamics) , Fuel cells , Fuels , Gas turbines , Predictive control

Perspectives in Solid Oxide Fuel Cell-Based Microcombined Heat and Power Systems

Khaliq Ahmed, Karl Föger

J. Electrochem. En. Conv. Stor. August 2017, 14(3): 031005. doi: https://doi.org/10.1115/1.4036762

Abstract

View articletitled, Perspectives in Solid Oxide Fuel Cell-Based Microcombined Heat and Power Systems

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Topics: Anodes , Electrical efficiency , Failure , Fuels , Heat , Solid oxide fuel cells , Temperature , Fuel cells , Electrodes , Power systems (Machinery)

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

Valentina Zaccaria, Zachary Branum, David Tucker

J. Electrochem. En. Conv. Stor. August 2017, 14(3): 031006. doi: https://doi.org/10.1115/1.4036809

Abstract

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

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Topics: Fuel cells , Fuels , Gas turbines , Solid oxide fuel cells , Stress , Temperature , Temperature control , Turbines , Flow (Dynamics) , Heat

Wavy Surface Cathode Gas Flow Channel Effects on Transport Processes in a Proton Exchange Membrane Fuel Cell

Shian Li, Jinliang Yuan, Martin Andersson, Gongnan Xie, Bengt Sundén

J. Electrochem. En. Conv. Stor. August 2017, 14(3): 031007. doi: https://doi.org/10.1115/1.4036810

Abstract

View articletitled, Wavy Surface Cathode Gas Flow Channel Effects on Transport Processes in a Proton Exchange Membrane Fuel Cell

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Topics: Catalysts , Fuel cells , Gas flow , Membranes , Proton exchange membrane fuel cells , Transport processes , Water , Oxygen , Flow (Dynamics) , Computer simulation

Prediction of Direct Methanol Fuel Cell Stack Performance Using Artificial Neural Network

M. A. Rafe Biswas, Melvin D. Robinson

J. Electrochem. En. Conv. Stor. August 2017, 14(3): 031008. doi: https://doi.org/10.1115/1.4036811

Abstract

View articletitled, Prediction of Direct Methanol Fuel Cell Stack Performance Using Artificial Neural Network

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Topics: Artificial neural networks , Direct methanol fuel cells , Methanol , Algorithms , Temperature , Flow (Dynamics) , Anodes

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Study on Nonlinear Identification SOFC Temperature Model Based on Particle Swarm Optimization–Least-Squares Support Vector Regression

Recursive System Identification and Simulation of Model Predictive Control Based on Experimental Data to Control the Cathode Side Parameters of the Hybrid Fuel Cell/Gas Turbine

Perspectives in Solid Oxide Fuel Cell-Based Microcombined Heat and Power Systems

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

Wavy Surface Cathode Gas Flow Channel Effects on Transport Processes in a Proton Exchange Membrane Fuel Cell

Prediction of Direct Methanol Fuel Cell Stack Performance Using Artificial Neural Network

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