Optimized configuration to reduce H2 carbon footprint in a refinery

被引:4
作者
Leclerc, Mathieu [1 ]
Rodrigues, Guillaume [1 ]
Dubettier, Richard [1 ]
Ruban, Sidonie [1 ]
机构
[1] Air Liquide Global E&C Solut France, 57 Ave Carnot, F-94500 Champigny sur marne, Marne, France
关键词
Hydrogen; Carbon capture; Amine wash; refinery; Carbon footprint;
D O I
10.1016/j.ijggc.2022.103671
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As hydrogen is increasingly being recognized as a critical energy vector in the energy transition, capturing CO2 from existing H2 production facilities plays a significant role towards decarbonisation. Air Liquide has industrialized an innovative technology CryocapTM H2, combining membranes and cryogenic solutions to capture CO2 most efficiently, at the lowest cost, and at a very high purity. This paper illustrates the impact of cost-effective partial capture technology choices (e.g. amine wash versus CryocapTM H2) to CO2 emission reduction rates and overall carbon footprint. Direct and indirect emissions (i.e. Scopes 1, 2, and 3) were defined for each technology choice, alongside scenarios for low, medium, and high carbon footprint environments. The paper also explores an optimization path on the CO2 emissions reduction rate using a network configuration within a refinery. The study demonstrates that with Scope 1 emissions, the partial capture net CO2 emission reduction rate is 62% with a CryocapTM standalone, 80% with a CryocapTM Network, but only 56% with an amine wash due to its additional requirement of steam. Analysis of all emissions Scopes illustrates that CryocapTM 's net CO2 emissions reduction rate ranges from 52% to 66% across low, medium, to high carbon footprint scenarios, and 39% to 44% for amine wash. The advantageous case for CryocapTM across all three Scopes remains regardless of the additional steam production method (i.e. natural gas vs electric boiler).
引用
收藏
页数:8
相关论文
共 10 条
  • [1] ADEME, 2020, GES DAT
  • [2] [Anonymous], LOOKING SOMETHING
  • [3] [Anonymous], 2010, ETSAP TECHN BRIEF IO
  • [4] [Anonymous], 2022, INNOVATION FUND METH
  • [5] [Anonymous], 2019, UK GOV REPORTING FAC
  • [6] Collodi GuidoG, 2017, TECHNOECONOMIC EVALU
  • [7] GHG Protocol, ABOUT US
  • [8] Granados L., 2022, GHGT13
  • [9] Hydrogen Council, 2020, PATH HYDR COMP
  • [10] IEA, 2020, CO2 EM FACT EL GEN D