Simulated flue gas feed on coals for attraction of subcritical CO2

Emmanuel Emem Obong Agbenyeku, Edison Muzenda, Innocent Mandla Msibi

Research output: Contribution to conferencePaperpeer-review


In recent years, attention has been drawn towards decreasing the effusion of anthropogenic carbon dioxide (CO2). CO2 sequestration is one approach used to reduce its concentration in the atmosphere. This is often the case in deep and inaccessible coal seams where underground storage techniques i.e., flue gas and CO2 injection under feeds of subcritical and supercritical settings are required. In a bid to reducing carbon footprints, subcritical CO2 affinity of two sample coal types (sample A-Anthracite and sample B- bituminous) in South Africa was evaluated from adsorbates of flue gas and pure CO2. Volumetric approach using 35°C and 5MPa was used to measure the attraction/adsorption isotherms of the flue gas and pure CO2 respectively. Measurements were carried out on 5g samples all passing the 2.36mm American standard sieve size while the flue gas was simulated from industrial coal fired plant having CO2 = 96.2%, 02 = 1.5% and N2 = 2.3% in a high pressure CO2 volumetric adsorption apparatus. From the generated data, regression models for attraction isotherm were used to resolve the fitness of coal as CO2 adsorbent. Thus from the study, it was realized that the coal attraction of CO2 was not notably altered on introduction of other gases. However, sample-A showed a higher adsorption capacity over sample-B, as has been recorded from similar studies. The data herein could therefore, add to the basis for assessing flue gas and pure CO2 sequestration on South African coal.

Original languageEnglish
Number of pages4
Publication statusPublished - 2015
Event2015 World Congress on Engineering and Computer Science, WCECS 2015 - San Francisco, United States
Duration: Oct 21 2015Oct 23 2015


Other2015 World Congress on Engineering and Computer Science, WCECS 2015
Country/TerritoryUnited States
CitySan Francisco

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)


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