储氢材料规模化制备技术与装备开发测试数据集
收藏国家基础学科公共科学数据中心2026-02-07 收录
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随着能源问题的日益严重,全球都在探索和利用开发新兴能源。氢能源作为清洁高效的替代能源,近年来备受关注,其未来发展潜力巨大。当前氢储运效率和安全性低是氢能产业发展的瓶颈问题。本数据集记录了两种高温型高容量镁基运氢材料和低温型高性价比钒基储氢材料的储氢性能与生产数据,成功通过感应熔炼制备三元Mg-Ni-RE基合金与电弧熔炼制备V-Ti-Cr-Fe-Mn基固溶体用于实现高效高安全储运氢。其中可用于百吨级生产的Mg94Ni3Ce3合金的储氢容量达到6.43 wt.%,而V基固溶体最大吸氢量2.5059 wt.%。数据集共包括2个数据文件夹,分别为“镁基储氢材料规模制备工艺与装备开发测试数据”与“钒基储氢材料规模制备工艺与装备开发测试数据”。数据量分别为233MB与124MB。
Against the backdrop of worsening global energy crises, the world is exploring and developing emerging energy sources. As a clean and efficient alternative energy source, hydrogen energy has attracted considerable attention in recent years and boasts enormous future development potential. Currently, low efficiency and safety issues in hydrogen storage and transportation have become bottlenecks restricting the development of the hydrogen energy industry. This dataset records the hydrogen storage performance and production data of two types of materials: high-temperature, high-capacity magnesium-based hydrogen transportation materials, and low-temperature, cost-effective vanadium-based hydrogen storage materials. Ternary Mg-Ni-RE-based alloys were successfully prepared via induction melting, and V-Ti-Cr-Fe-Mn-based solid solutions were fabricated via arc melting, aiming to achieve efficient and safe hydrogen storage and transportation. Specifically, the Mg94Ni3Ce3 alloy, which is suitable for hundred-ton-scale production, exhibits a hydrogen storage capacity of 6.43 wt.%, while the maximum hydrogen uptake of the vanadium-based solid solution reaches 2.5059 wt.%. The dataset consists of two data folders, namely "Scale-up Preparation Process, Equipment Development and Testing Data for Magnesium-based Hydrogen Storage Materials" and "Scale-up Preparation Process, Equipment Development and Testing Data for Vanadium-based Hydrogen Storage Materials", with data volumes of 233 MB and 124 MB respectively.
提供机构:
华北电力大学
搜集汇总
数据集介绍

背景与挑战
背景概述
本数据集聚焦氢能产业发展中储运效率与安全性的关键问题,记录了高温型镁基与低温型钒基两类储氢材料的规模化制备工艺、装备开发测试数据及其储氢性能。数据集包含镁基和钒基材料两个文件夹,总数据量约为357.7MB,旨在为高效高安全储氢材料的研究与应用提供支持。
以上内容由遇见数据集搜集并总结生成



