Browsing by Author "Mert, S. O."
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Article Exergetic Simulation and Performance Analysis of the Effect of Flow Patterns in Pemfcs(int Center Applied thermodynamics, 2019) Mert, S. O.; Toprak, M. M.; Depci, T.In this study, 6 different novel flow channels of the "proton exchange membrane" (PEM) type fuel cells were designed and modeled, while evaluations were conducted on three-dimensional channels of various designs using COMSOL Multiphysics simulation software. Proposed fuel cell designs and flow channel geometries were compared to existing exergetically-efficient fuel cell designs in terms of total exergy efficiency in a 3D manner as a novel tool for fuel cell investigations. Exergy efficiency analyses were conducted on the membrane surfaces of the proposed designs in addition to the anode and cathode side exergy analyses, and exergetic efficiencies of the alternatives. It is found that Design 6 is the best flow channel design with relatively high values and homogeny in exergy efficiency. The multi-inlet/outlet style while sustaining the reaction long enough for the reactant depletion leads to high-efficiency levels as seen from the results with average efficiency of 24%.Article Exergoeconomic Distillation Sequencing by Multi-Objective Optimization Through a Hybrid Genetic Algorithm(Croatian Soc Chemical Engineering Technology, 2016) Ozcelik, Y.; Mert, S. O.While trying to optimize sharp distillation processes, the number of possible column sequences significantly increases as the number of components that make up the feed mixture increases. As a result, proper sequencing with maximum exergetic profit and minimum exergy destruction becomes harder to achieve. In this study, an exergoeconomic multi-objective optimization was applied to the distillation sequences of three separate hydrocarbon mixture cases, by means of a genetic-algorithm-based solver software. A computer program (DISMO) was developed in-house to achieve this functionality. The results indicate that the created algorithm was quite applicable in determining the optimum sequencing in distillation, as it successfully created the Pareto Solution Set and suggested the optimum configurations. This study also presented an opportunity to conduct a parametric investigation on various weighting factors for objective functions. As the importance given to a specific objective was increased, the optimization results had a tendency to favour that specific objective through arrangement of sequencing as expected, though the profit and sequencing converged to a single result after a certain threshold.Article Performance Assessment of a Batch Distillation System(int Center Applied thermodynamics, 2015) Mert, S. O.; Ersoz, E.; Badak, M. U.In this study, the performance analysis of a batch distillation system, which is being used to recover ethylene glycol from the waste products of a chemical plant, was conducted using the exergy analysis method. The analysis is thorough and detailed, including a broad modelling of the system and a comprehensive "reference temperature" investigation. The aforementioned waste solution contains water, glycols, and some anhydrides. The purification process of this waste is sustained using a distillation system that operates in a batched manner and is heated using an electric heating system. In this study, the heating system, reboiler, and condenser groups of the distiller are investigated to better understand the characteristics of the system and to reveal the efficiencies "exergetically". Overall, with data from the real-case and data gathered from the experiments, the system's exergetic efficiencies are calculated, over time, during the distillation process. This way, the major exergy destruction points for the system are pointed out, in hopes of reaching better efficiency and reduced costs for the system. The effect of the environmental temperature is also investigated with the utilized exergetic model. As a result of the investigation, the overall efficiency for the distillation system was found to be 3.41% and the overall exergy destruction as 282.13kW.