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Developing a mathematical tool for hydrogen production, compression and storage

机译:开发用于氢生产,压缩和储存的数学工具

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Among the few lessons learned presented in the literature, authors put in evidence the ongoing need to investigate on station components and their integration. The specific power consumption of station units with on-site hydrogen generation is often subject to uncertainty, and it would have been desirable to find more details about the energy contribution of each component. To address this gap, this paper focuses on the development of a mathematical modeling as a dynamic and multi-physical design tool to predict the energy performance of hydrogen production systems. Particularly, the model aims to describe and analyze the energy performance of two different electrolyzer technologies (PEM and Alkaline), integrated with a compressor system and gaseous buffer storage. Multiple tank options and a switching strategy are investigated, as well as a control system to simulate a real infrastructure operation. Auxiliaries and components related to the thermal management system have been also included. A carbon-footprint analysis follows the energy one, focusing on the CO2 emission reduction. Comparisons between literature data and model show that the hydrogen system proposed model is suitable to evaluate systems with respect to energy efficiency and system performance. The model could be a powerful tool for exploring control strategies and understanding the contributions to the overall energy consumption from the various internal components as a guide to researchers aiming for improved performance. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:在文学中汲取的几课中,提交人持续需要调查站点组件及其整合。具有现场氢生成的站单元的特定功耗通常受到不确定性的影响,并且希望能够找到关于每个组分的能量贡献的更多细节。为了解决这一差距,本文侧重于将数学建模作为动态和多物理设计工具的开发,以预测氢生产系统的能量性能。特别是,该模型旨在描述和分析两种不同电解槽技术(PEM和碱性)的能量性能,与压缩机系统和气体缓冲储存集成。调查多个罐选项和交换策略,以及控制系统以模拟真实的基础设施操作。还包括与热管理系统相关的助剂和组件。碳足迹分析遵循能量一,重点关注二氧化碳排放减少。文献数据与模型之间的比较表明,氢系统所提出的模型适用于评估能源效率和系统性能的系统。该模型可能是探索控制策略的强大工具,并了解对各种内部组件的整体能源消耗的贡献,作为旨在提高性能的研究人员的指南。 (c)2020氢能源出版物LLC。 elsevier有限公司出版。保留所有权利。

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