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A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater

机译:混合电解槽 - 燃料电池系统优化设计和合成的数学模型:海水中氢气的生产

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Fossil fuels have earned a reputation as unsustainable sources of energy, due to the release of carbon emissions that are attributable to global warming. To overcome the extensive release of carbon emissions into the environment, different approaches are being explored to produce energy, by replacing non-renewable fuels with renewable energy. Additionally, many countries across the world are emerging as water-scarce countries, due to the vulnerability of freshwater supply. This work, therefore, focuses on the design and synthesis of a hybrid electrolyser-fuel cell system to generate hydrogen and freshwater from seawater. The proposed system is designed to be integrated with a background process that requires both power and water. It has the potential to reduce the burden on freshwater sources and carbon footprint of background processes, as well as produce power. A one-dimensional, mathematical model is developed for a continuous hybrid seawater electrolyser-fuel cell system operated at steady state. The model determines the optimal operating conditions in terms of temperature, current density, electrode thickness and humidity, as well as the performance of the system through the activation overpotential, diffusion overpotential, ohmic overpotential and the open-circuit voltage. GAMS/BARON is used to optimise the hybrid system. Furthermore, a techno-economic evaluation is conducted to determine the viability of the system. Results indicate that an overall power conversion efficiency of 41.2%, and a freshwater recovery rate of 48.2% is achieved. (C) 2020 Elsevier Ltd. All rights reserved.
机译:由于可归因于全球变暖的碳排放,化石燃料赢得了作为不可持续的能源来源的声誉。为了克服广泛的碳排放进入环境,正在探索不同的方法来生产能源,通过更换具有可再生能源的不可再生燃料。此外,由于淡水供应的脆弱性,世界各地的许多国家都作为水资源稀缺国家。因此,这项工作侧重于混合电解槽 - 燃料电池系统的设计和合成,以产生氢气和海水淡水。该建议的系统旨在与需要电源和水的后台过程集成。它有可能降低淡水来源的负担和背景过程的碳足迹,以及产生电力。为以稳态运行的连续混合海水电解槽 - 燃料电池系统开发了一维的数学模型。该模型在温度,电流密度,电极厚度和湿度方面确定最佳运行条件,以及通过激活通过激活,扩散过电位,欧姆过电和开路电压的性能。 Gams / Baron用于优化混合动力系统。此外,进行了技术经济评估以确定系统的生存能力。结果表明,总功率转换效率为41.2%,达到48.2%的淡水回收率。 (c)2020 elestvier有限公司保留所有权利。

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