首页> 外文会议>ASME international mechanical engineering congress and exposition >OPTIMIZATION OF MG SCRAPS HYDROLYSIS FOR HYDROGEN GENERATION USING HCL: EXPERIMENTAL AND SIMULATION
【24h】

OPTIMIZATION OF MG SCRAPS HYDROLYSIS FOR HYDROGEN GENERATION USING HCL: EXPERIMENTAL AND SIMULATION

机译:HCL法优化MG渣油水解制氢的实验与模拟

获取原文

摘要

Worldwide concerns on environmental pollution and the need for clean energy supply have attracted researchers' interest for power generation using technology which not only is a clean technology but also utilizes the Mg scrap waste, a part of solid waste from electronic and automobile industries. The Mg scraps have been used for the hydrogen generation via hydrolysis. In an attempt we conducted the experimental study and optimization of hydrolysis of Mg scraps waste in the presence of HC1 to generate hydrogen. This work optimizes the process of using Mg scraps to produce H_2, Mg(OH)2 and MgCl_2. The effect of different concentration of HC1 on hydrolysis was studied to find the optimum concentration for the hydrogen generation. The most influencing parameters such as acid concentration of solution was selected and studied. The kinetic behaviour was analysed to determine the effect of different HC1 concentration on hydrogen generation pattern. Numerical modeling was performed considering the chemical reaction using ReaxFF. The effect of the selected parameters on the system and the hydrogen concentration were investigated to predict the performance of the hydrolysis of Mg scraps in the designed reactor. This study proposes an eco-efficient method as it utilizes the Mg waste to produce hydrogen which is an energy carrier.
机译:全球范围内对环境污染和清洁能源供应的关注吸引了研究人员对使用技术进行发电的兴趣,该技术不仅是清洁技术,而且还利用了Mg废料,Mg废料是电子和汽车行业的固体废物的一部分。镁废料已经用于通过水解产生氢。在尝试中,我们进行了实验研究,并在HCl存在下优化了Mg废料的水解以产生氢气。这项工作优化了使用Mg废料生产H_2,Mg(OH)2和MgCl_2的过程。研究了不同浓度的HCl对水解的影响,以找到产生氢气的最佳浓度。选择并研究了影响最大的参数,例如溶液的酸浓度。分析动力学行为以确定不同浓度的HCl对制氢模式的影响。考虑到使用ReaxFF的化学反应进行了数值建模。研究了所选参数对系统和氢浓度的影响,以预测设计反应器中Mg废料的水解性能。这项研究提出了一种生态高效的方法,因为它利用了Mg废料来生产作为能量载体的氢。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号