This study applies four different types of machine learning methods to model the power performance behaviour of a tubular solid oxide fuel cells (SOFC) under different operating conditions. The corresponding machine learning methods are: artificial neural network (ANN), fuzzy inference system (FIS), support vector machine (SVM), and genetic programming (GP). By using four types of inputs of the...

Power generation using gas turbine power plants operating on the Brayton cycle suffers from low efficiencies. In this work, a solid oxide fuel cell (SOFC) is proposed for integration into a 10 MW gas turbine power plant, operating at 30% efficiency. The SOFC system utilizes four heat exchangers for heat recovery from both the turbine outlet and the fuel cell outlet to ensure a sufficiently high...

Introduction: The direct use of CH4 as the feed to the solid oxide fuel cell (SOFC) will allow elimination of a reformer, simplifying the SOFC system and decreasing the system cost [1]. The overall reaction on the anode catalyst in the direct CH4 SOFC is the electrochemical oxidation of CH4: CH4 + 4O CO2 + 2H2O + 8e. Due to the nature of hydrocarbon reactions at high temperature and the reducin...

........................................................................................................................ I LIST OF PAPERS .............................................................................................................. II TABLE OF CONTENTS ................................................................................................. VII 1 INTRODUCTION ............

A self-organizing fuzzy controller (SOFC) has been developed for control engineering applications. However, in practical applications, it is difficult to choose the values of the SOFC’s learning rate and weighting distribution appropriately to achieve reasonable control performance. In addition, the SOFC is mainly used to control singleinput single-output systems. When the SOFC is applied to ma...

Title of Document: QUANTIFYING THE ROLE OF CERIUM OXIDE AS A CATALYST IN SOLID OXIDE FUEL CELL ANODES Steven C. DeCaluwe, Doctor of Philosophy, 2009 Directed By: Associate Professor Gregory S. Jackson, Department of Mechanical Engineering Solid Oxide Fuel Cells (SOFCs) are an important electrochemical power conversion device, due largely to their high efficiencies and ability to directly oxidiz...

Since solid oxide fuel cells (SOFC) produce electricity with high energy conversion efficiency, and chemical looping combustion (CLC) is a process for fuel conversion with inherent CO2 separation, a novel combined cycle integrating coal gasification, solid oxide fuel cell, and chemical looping combustion was configured and analyzed. A thermodynamic analysis based on energy and exergy was perfor...

This study developed an enhanced adaptive self-organizing fuzzy slidingmode controller (EASFSC) for robotic systems. Rather than using the output error and the error change of the system, the EASFSC uses a sliding surface and its differential as the input variables of a fuzzy logic controller (FLC) in a self-organizing fuzzy controller (SOFC) to generate a control input through fuzzy operation....