摘要
随着国家对炼化企业的产品质量升级更新速率要求越来越快和对成品油质量要求越来越高,要求炼化企业对生产出来的汽柴油产品进行深度加氢,这就会消耗更多的氢气,如何将副产氢气利用效率最大化成为各炼厂首要解决的问题。通过夹点技术对某炼厂的氢气网络进行分析,找出了现行氢气网络存在的问题,利用夹点技术对公司现有的氢气网络进行优化调整。根据氢气夹点匹配原则,利用提纯装置生产出纯度高于夹点的氢气,把低品质存在余量的氢气提高纯度送到氢气管网,摒弃单一的氢气回收技术,采用膜分离技术和现有闲置装置的PSA进行耦合工艺,生产出≥99.5%的高纯氢,此技术不仅投资少,而且操作可靠性高,项目实施后现有的氢气管网得到了补充,相应的制氢装置负荷得到降低,优化后的氢气网络操作更加灵活,每年增加约2000t氢气,效益在2000万元以上。
As China demands faster product quality upgrading of refining and petrochemical enterprises and higher quality of refined oil products , the refining and petrochemical enterprises are required to carry out deep hydrogenation of the gasoline and diesel oil produced , which consumes more hydrogen , so how to maximize the utilization efficiency of by-product hydrogen has become the primary problem of all refineries.Based on pinch technology , the hydrogen network of a refinery is analyzed , the problems in the existing hydrogen network are found out , and the hydrogen network of the company is optimized and adjusted using pinch technology.According to the hydrogen pinch matching principle , the purification unit is used to produce hydrogen with a purity higher than pinch point , the excess low quality hydrogen is purified and sent to the hydrogen pipe network , and the membrane separation and PSA coupling process is adopted instead of the single hydrogen recovery technology to produce hydrogen with a purity of not less than 99.5%.This technology has the characteristics of low investment and high operational reliability.After the implementation of the project , the existing hydrogen pipe network was supplemented , the load of hydrogen plant was reduced accordingly , and the operation of the optimized hydrogen network was more flexible , achieving an annual increase of about 2000 tons of hydrogen and a benefit of more than 20 million yuan.
作者
张士元
吴斌超
王伟
安晓杰
Zhang Shiyuan;Wu Binchao;Wang Wei;An Xiaojie(PetroChina Karamay Petrochemical Co.,Ltd.,Karamay Xinjiang 834003)
出处
《中外能源》
CAS
2019年第8期80-85,共6页
Sino-Global Energy
关键词
夹点技术
氢气网络
优化
研究
应用
pinch technology
hydrogen network
optimization
research
application