重新审视用于预测多次注入高炉运行条件的Rist图
Manuel Bailera1,2, Takao Nakagaki3, Ryoma Kataoka4
1Graduate School of Creative Science and Engineering, Waseda University, Tokyo, 1698555, Japan.
Open research Europe
|August 30, 2023
概括
这项研究将氧气高炉与Power to Gas技术相结合,生产合成甲,将二氧化碳排放量降低高达7.4%,并避免通过封闭的碳循环进行地质储存.
科学领域:
- 金工程 金工程 金工程
- 化学工程是化学工程的重要组成部分.
- 可持续能源技术 可持续能源技术
背景情况:
- 里斯特图是预测高炉运行变化的关键工具.
- 现有的高炉模型需要更新,以纳入新的集成概念.
- 氧气高炉与Power to Gas (PtG) 技术的整合为减少二氧化碳排放提供了一种新的方法.
研究的目的:
- 开发和验证高炉运行一般化的RIST图模型.
- 评估将Power to Gas技术与氧气高炉相结合的可行性.
- 量化这种新型集成的二氧化碳减排和能源影响.
主要方法:
- 一个通用的里斯特图模型被开发和增强.
- 该模型与三个不同的高炉数据集进行了验证:空气吹,空气吹与粉碎煤炭注入,氧气吹与顶部气体回收和粉碎煤炭注入.
- 该模型在所有验证数据集中实现了低于8%的误差.
主要成果:
- 将150兆瓦的电力转化为天然气发电厂与280tHM/h的氧气高炉相结合,可将二氧化碳排放量减少6.1%7.4%.
- 该过程产生了合成甲,取代了焦炭或煤炭,并实现了闭环碳循环.
- 避免二氧化碳排放的净能源处罚在17.9到23.1MJ/kg的二氧化碳之间,这取决于所取代的化石燃料.
结论:
- 氧气高炉与Power to Gas技术的拟议整合有效地减少了二氧化碳排放.
- 这种方法通过减少化石燃料消耗和空气分离的电力需求提供了潜在的经济效益.
- 虽然能源处罚比传统的碳捕获更高,但这种方法避免了地质储存,并促进了碳循环.
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