Browsing by Author "Dincer, Ibrahim"

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Comparative Assessment and Optimization of Fuel Cells
(Pergamon-elsevier Science Ltd, 2015) Mert, Suha Orcun; Ozcelik, Zehra; Dincer, Ibrahim
In this study, a comprehensive exergoeconomic analysis and a multi-objective optimization study are performed for four different types of fuel cell systems, in order to determine their maximum power production capacities, exergy efficiencies, and minimum production costs, by use of a genetic algorithm method. The investigated fuel cell types are Polymer Electrolyte Membrane (PEMFC) and Direct Methanol (DMFC) for low temperature fuel cells, and Solid Oxide (SOFC) and Molten Carbonate (MCFC) for high temperature fuel cells. The selected fuel cell systems are modeled exergetically and exergoeconomically. After modeling, the cases are studied parametrically with various available operating conditions, such as temperature, pressure, surrounding temperature and pressure, current density, and relative humidity, using the developed computer program MULOP (Multi-Objective Optimizer). For the low temperature fuel cells it is observed that the efficiencies are in the range of 10-30% and the costs are around $3-4/kW. On the other hand, for the high temperature fuel cell systems, efficiencies are in the range of 15-45% and the costs seems to be $0.003-0.01/kW. The results show that high temperature fuel cells operate more effectively for large scale applications. Copyright (C) 2014, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
Exergoeconomic Based Multi-Objective Optimisation of a Solid Oxide Fuel Cell System
(inderscience Enterprises Ltd, 2014) Mert, Suha Orcun; Ozcelik, Zehra; Dincer, Ibrahim
In this study, the multi-objective optimisation of a solid oxide fuel cell (SOFC) system by defining the objective functions to maximise the power output, energy efficiency and exergy efficiency, and minimise the cost under various constraints is conducted. In this regard, energy, exergy and exergoeconomic analyses are performed. Some specific cases are considered and studied parametrically by varying practical operating conditions, namely temperature, pressure, current density and stack assembly thickness. An exergoeconomic model is developed for the system and incorporated into the developed computer program MULOP (multi-objective optimiser) which is based on a genetic algorithm to investigate the system parametrically, depending on the multi-objective optimisation of the objective function ratios. The best result obtained for each objective function is 1.65 W for the power produced, 0.242 and 0.269 for both exergy and energy efficiencies, respectively, and 0.0017 $/W for the cost generated.