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SOFC and MCFC system level modeling for hybrid plants performance prediction
Affiliation:1. University of Naples “Parthenope”, Centro Direzionale, Isola C4, 80143 Naples, Italy;2. University of Cassino and Southern Lazio, Department of Civil and Mechanical Engineering, Via G. Di Biasio 43, 03043 Cassino, Italy;1. Department of Mechanical Engineering, Ohio University, Stocker Center 252, Athens, OH 45701, USA;2. Department of Mechanical Engineering, Ohio University, Stocker Center 265, Athens, OH 45701, USA;3. Department of Mechanical Engineering, Ohio University, Stocker Center 254, Athens, OH 45701, USA;1. Curtin University, Kent Street, Bentley, WA 6102, Australia;2. Xinnotec Pty. Ltd., Kew, Victoria 3101, Australia;1. Thermochemical Power Group (TPG), Department of Mechanical Engineering (DIME), Polytechnic School, University of Genoa, Via Montallegro 1, 16145 Genoa, Italy;2. EBZ GmbH, Fuel Cells & Process Technology, Marschnerstrasse 26, 01307 Dresden, Germany;3. Thermochemical Power Group (TPG), Department of Civil, Chemical and Environmental Engineering (DICCA), Polytechnic School, University of Genoa, Via Opera Pia 15, 16145 Genoa, Italy;1. University of Castilla-La Mancha, Chemical Engineering Department, Building Enrique Costa Novella, Av. Camilo José Cela n°12, 13071 Ciudad Real, Spain;2. NEXT ENERGY·EWE Research Centre for Energy Technology at University of Oldenburg, Carl-von-Ossietzky Str. 15, 26129 Oldenburg, Germany;1. Dipartimento di Ingegneria Industriale e Scienze Matematiche, Università Politecnica delle Marche, Via Brecce Bianche, Polo Montedago, 60131 Ancona, Italy;2. ENEA C.R. Casaccia, Via Anguillarese, 00123 Rome, Italy;3. The University of Edinburgh, School of Engineering, Institute for Materials and Processes, Mayfield Road, The King''s Buildings, EH9 3JL Edinburgh, UK
Abstract:In this paper a generalized model, based on system-level approach, for predicting the High Temperature Fuel Cells (HTFCs) behavior and performance is presented.The system-level model allows to forecast the HTFC performance under different operating conditions (cell temperature, anode off-gas recirculation, reactants temperatures, fuel and oxidant utilization factors, etc.) and cell design (tubular and planar configurations and with co-flow, counter-flow and cross-flow arrangements).Mass and energy balances are solved by considering both the electrochemical (i.e. electro-oxidation of hydrogen) and thermochemical reactions (i.e. reforming and shifting reactions) which occur in the anode and cathode sides and by applying different equations systems to take into account the type of fuel cell (MCFC or SOFC).The ability of the proposed model in the HTFCs performance prediction is pointed out by the model validation carried out by using experimental data and by analyzing the impact of the model calibration parameters on the cell voltage calculation carried out by means of a sensitivity analysis.Numerical results show that the model allows to characterize the behavior of the HTFCs with a good approximation so, thanks to the simplicity of the simulation procedure and to the small computational time efforts, it can be a useful tool for predicting the performance of hybrid power plants or more complex systems in which the fuel cell is one of the main components.
Keywords:MCFC  SOFC  Numerical modeling  Experimental validation  Hybrid plants
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