石油炼制与化工 ›› 2025, Vol. 56 ›› Issue (10): 119-124.

• 节能减排 • 上一篇    下一篇

炼油企业总流程降碳路径研究

孙若琳,解增忠   

  1. 中石化石油化工科学研究院有限公司
  • 收稿日期:2025-04-14 修回日期:2025-05-15 出版日期:2025-10-12 发布日期:2025-10-09
  • 通讯作者: 解增忠 E-mail:xiezz.ripp@sinopec.com

STUDY ON DECARBONIZATION PATHWAY OF OVERALL PROCESS IN AN OIL REFINING ENTERPRISE


  • Received:2025-04-14 Revised:2025-05-15 Online:2025-10-12 Published:2025-10-09
  • Contact: Xie Zengzhong E-mail:xiezz.ripp@sinopec.com

摘要: 在“双碳”形势下,炼油企业迫切需要降碳减排。维持当前生产运营条件的降碳措施往往造成效益损失,而通过总流程优化可以找到措施中经济代价最小的路径。针对某典型千万吨级炼油厂,利用全厂总流程技术开展“物流”、“能流”和“碳流”的协同优化,并量化评估各措施的降碳效果。结果表明,优化物料加工流向和氢气梯级利用是有效降低碳排放和综合能耗的措施,优先推荐缩短含氢气体和重油的加工流程;每梯级利用1 t催化重整氢气为该炼油厂减少0.51 t 碳排放。研究结果可为炼油厂调整总流程方案实现碳减排提供决策参考。

关键词: 碳减排, 总流程优化, 量化评估, 物料加工流向, 氢气梯级利用

Abstract: Oil refining enterprises urgently need to reduce CO2 emissions to meet the requirement of the “carbon peak and carbon neutral targets”. Decarbonization measures maintain current operating conditions unsurely result in loss of benefits. By using overall process optimization, the pathway of the Decarbonization measures with least environmentally expensive can be found out. For a typical 10 Mt/a refinery, the overall process model was integrated with the carbon emission model. The quality stream, energy stream and carbon stream in the whole plant were optimized synergistically, and the effects of selected Decarbonization measures were quantified and evaluated.The results show that measuresincluding optimizing the processing direction of material and gradient utilization of hydrogen are effective for reducing CO2 emission and comprehensive energy consumption. Among them, in terms of processing direction of material, shortening the processing flow of hydrogen-containing gas and heavy oil is recommended as a priority. For gradient utilization of hydrogen, each ton of reformer hydrogen utilized in this case could reduce 0.51 tons of carbon emission for the refinery. The present work provides guidance for refineries to reduce CO2 emission by optimizing the overall process.

Key words: CO2 emission reduction, overall process optimization, quantitative evaluation, processing direction of material, hydrogen gradient utilization