A methodology for thermo-economic modeling and optimization of solid oxide fuel cell systems |
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| Affiliation: | 1. Centre for Process Integration , School of Chemical Engineering and Analytical Science, The University of Manchester, Manchester, PO BOX 88, Manchester M60 1QD, United Kingdom;2. Institute of Process and Environmental Engineering, Brno University of Technology – VUT, Technicka 2, 616 69 Brno, Czech Republic;1. Veolia Environnement Recherche et Innovation (VERI), 291 avenue Dreyfous Ducas, 78520 Limay, France;2. Industrial Process and Energy Systems Engineering, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland;3. Veolia Environnement Recherche et Innovation (VERI), Chemin de la digue BP 76, 78603 Maisons-Laffitte, France;1. School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, UK;2. Thermochemical Power Group, University of Genoa, Genoa, Italy;1. U.S. Department of Energy, NETL, Morgantown, WV, USA;2. Thermochemical Power Group, Università di Genova, Genova, Italy;1. Faculty of Chemistry and Pharmacy, Institute of General, Inorganic and Theoretical Chemistry, Leopold-Franzens-University Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria;2. Institute for Physical Chemistry, Leopold-Franzens-University Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria;3. Institute of Material Technology, Leopold-Franzens-University Innsbruck, Technikerstrasse 11-13, A-6020 Innsbruck, Austria;1. Forschungszentrum Jülich GmbH, IEK-3: Electrochemical Process Engineering, 52425, Jülich, Germany;2. RWTH Aachen University, Chair for Fuel Cells, Faculty of Mechanical Engineering, 52072, Aachen, Germany |
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| Abstract: | In the context of stationary power generation, fuel cell-based systems are being foreseen as a valuable alternative to thermodynamic cycle-based power plants, especially in small scale applications. As the technology is not yet established, many aspects of fuel cell development are currently investigated worldwide. Part of the research focuses on integrating the fuel cell in a system that is both efficient and economically attractive. To address this problem, we present in this paper a thermo-economic optimization method that systematically generates the most attractive configurations of an integrated system. In the developed methodology, the energy flows are computed using conventional process simulation software. The system is integrated using the pinch based methods that rely on optimization techniques. This defines the minimum of energy required and sets the basis to design the ideal heat exchanger network. A thermo-economic method is then used to compute the integrated system performances, sizes and costs. This allows performing the optimization of the system with regard to two objectives: minimize the specific cost and maximize the efficiency. A solid oxide fuel cell (SOFC) system of 50 kW integrating a planar SOFC is modeled and optimized leading to designs with efficiencies ranging from 34% to 44%. The multi-objective optimization strategy identifies interesting system configurations and their performance for the developed SOFC system model.The methods proves to be an attractive tool to be used both as an advanced analysis tool and as support to decision makers when designing new systems. |
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