MATHEMATICAL MODELING AND SIMULATION OF CO2 REMOVAL FROM AN ALKALINE SOLUTION FOR FUEL CELLS APPLICATIONS

Matheus Ben-Hur Ramirez Sapucaia, Beatriz Jacob Furlan, Rafael Silva Ribeiro Gonçalves, W. Balmant, L. Martins, Jose Viriato Coelho Vargas
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Abstract

In order to reduce oil dependency and reduce CO2 emissions stabilizing the greenhouse effect on the planet, the search for new renewable energy sources has been intensified, with a particular interest in hydrogen based solutions. Hydrogen can be used in fuel cells, which have several applications. Fuel Cells are among the environmentally friendly energy conversion systems for the 21st century with simple components such as membrane, catalyst, rearrangeable configurations that allow them to accommodate space limitations, and their use of hydrogen and oxygen. There are many types of fuel cells that are distinguished by the electrolyte type and their operating temperature. Alkaline Membrane Fuel Cells (AMFCs) and Proton-Exchange Membrane Fuel Cells (PEMFCs) are major types that work in low temperatures and produce only H2O and electricity as part of the electrochemical reaction. AMFC is a fuel cell that has more affordable membranes, when compared to the PEMFC that uses a polymeric membrane with high cost, making applications more expensive. In AMFCs, the alkaline membrane used, is a simple filter paper saturated with KOH solution that allows ions to pass through the membrane, however, suffers CO2 poisoning when it gets in contact to the carbon dioxide present in the air, reacting in the KOH and capturing hydroxyl ions. The poisoning will generate chemical compounds that will interfere with the energy generation and efficiency of the fuel cell. The main cause of the decreasing performance of carbonate formation is the precipitation of large metal carbonate crystals such as K2CO3 and the formation of H2O in the membrane, decreasing KOH concentration. If not addressed, this issue will limit the use of AMFC to pure oxygen applications only, instead of the air itself, which restricts the applicability of the technology. This study presents a mathematical model of a purifier that reduces the concentration of CO2 present in the air, improving conditions to be used in AMFC for mobile applications as automotive vehicles and without the need to use pure oxygen.
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用于燃料电池的碱性溶液中co2去除的数学建模和模拟
为了减少对石油的依赖,减少二氧化碳的排放,稳定地球上的温室效应,对新的可再生能源的探索已经加强,对氢基解决方案特别感兴趣。氢可以用于燃料电池,它有几种用途。燃料电池是21世纪环境友好型能源转换系统之一,其组成简单,如膜、催化剂、可重新排列的结构,使其能够适应空间限制,并使用氢和氧。燃料电池有很多种,根据电解质类型和工作温度来区分。碱性膜燃料电池(amfc)和质子交换膜燃料电池(pemfc)是低温下工作的主要类型,作为电化学反应的一部分,它们只产生水和电。与使用高成本聚合物膜的PEMFC相比,AMFC是一种具有更实惠膜的燃料电池,这使得应用成本更高。在amfc中,使用的碱性膜是一种简单的滤纸,其中饱和了KOH溶液,允许离子通过膜,然而,当它接触到空气中的二氧化碳时,会在KOH中发生反应并捕获羟基离子,从而导致二氧化碳中毒。中毒会产生化合物,干扰燃料电池的能量产生和效率。碳酸盐形成性能下降的主要原因是K2CO3等大型金属碳酸盐晶体的析出和膜内H2O的形成,导致KOH浓度降低。如果不解决这个问题,AMFC的使用将仅限于纯氧应用,而不是空气本身,这限制了该技术的适用性。本研究提出了一种净化器的数学模型,该净化器可以降低空气中二氧化碳的浓度,改善汽车等移动应用的AMFC使用条件,而无需使用纯氧。
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Development of Transonic Unsteady Aerodynamic Reduced-Order Models Using System Identification Techniques A GPU ACCELERATED ALGORITHM FOR SOLVING NAVIER-STOKES EQUATIONS MICROALGAE BIOPOLYMERS: A REVIEW MATHEMATICAL MODELING AND SIMULATION OF CO2 REMOVAL FROM AN ALKALINE SOLUTION FOR FUEL CELLS APPLICATIONS Comparative study regarding the use of hydrogen, natural gas and biogas for dual-fuel operation in diesel engines
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