Innovative thermodynamic underground coal gasification model for coupled synthesis gas quality and tar production analyses

FUEL

卷:183

Article

Klebingat, Stefan¹  Kempka, Thomas²  Schulten, Marc³  Azzam, Rafig¹  Fernandez-Steeger, Tomas Manuel¹ 

[1] Rhein Westfal TH Aachen, Dept Engn Geol & Hydrogeol, Lochnerstr 4-20, D-52064 Aachen, Germany

[2] GFZ German Res Ctr Geosci, Fluid Syst Modelling, D-14473 Potsdam, Germany

[3] Rhein Westfal TH Aachen, Unit Technol Fuels, Wuellnerstr 2, D-52056 Aachen, Germany

关键词: Underground Coal Gasification;    Thermodynamic model;    Synthesis gas quality;    Tar production;    Environmental impacts;   

DOI  :  10.1016/j.fuel.2016.06.092

来源: Elsevier

【 摘 要 】

Underground Coal Gasification (UCG) technology is steadily improving due to high scientific and industrial efforts in currently over 14 countries worldwide. A fundamental UCG objective refers to syngas production for multiple end-uses, accompanied by environmental impact mitigation focusing contaminant reduction. In terms of this topic, the control of groundwater quality endangering tars has been a key problem rarely addressed in UCG publications so far. Considering UCG main sub-processes, operating parameters and tar spectrum knowledge grounded upon established thermodynamic equilibrium principles, an innovative and flexible model approach for coupled gas quality-tar production balances is presented here. The model is validated against literature data of the Hanna-I and Centralia-Partial Seam CRIP (PSC) field trials. For both trials good matching results were found. Main gas compounds and Lower Heating Values (LHVs) results are close to reported data partly reaching less than 10% deviation (relative error range for main compounds 4.32-18.6%, LHV 6.60-21.7%). Tar literature trend-modeling comparisons down to the single pollutant scale are addressed for the first time considering published data. Results here successfully reflect main qualitative tar tendencies, while current quantitative prognoses are on a satisfactory level, and expected to be further improved with the availability of more comprehensive in-situ data. (C) 2016 Elsevier Ltd. All rights reserved.

【 授权许可】

Free