The document discusses using 3D plots to analyze process data collected in arrays. A field trial demonstrated collecting absorber temperature data as arrays for 3D plotting. This allowed analyzing the distributed temperature profile and effects of intercooling. High speed data can also be trended by collecting it as arrays. The field trial showed benefits for startup optimization and process improvements.

1. Process Analysis Using 3D Plots Dr. Frank Seibert, University of Texas

14. 3D Views Supported View1 View2 View3

15. Time Span Selections 1 Hour 15 Minute 4 Hour

17. Field Trial - UT/SRP CO2 Capture Process

20. Absorber Intercooling Process Flowsheet

21. Absorber Intercooler Skid

22. Absorber: No Intercooling

23. Absorber Intercooling Operation

24. MEA Absorber Temperature Profile L/G = 4.8 (lb/lb), 415 ACFM, 0.3 Lean Loading No Intercooling 86.5% Removal, Run 1 Intercooling (40 ° C) 93% Removal, Run 2

25. MEA Absorber Temperature Profile L/G = 2.1 (lb/lb), 500 ACFM, 0.2 Lean Loading No Intercooling 83.2% Removal, Run 11 Intercooling (40 ° C) 82.5% Removal, Run 12

26. Effect of Absorber Inter-cooling Parameter Without Inter-cooling With Inter-cooling % CO2 Removal 87 93 Stripper Efficiency, kJ/kg CO 2 4,170 4,015

27. Absorber 8-27-2010 1:27-5:25pm View 1

28. Absorber 8-27-2010 1:27-5:25pm View 2

29. Absorber 8-27-2010 1:27-5:25pm View 3

30. Absorber 8-27-2010 4:27 – 8:25pm View 1

31. Absorber 8-27-2010 4:27 – 8:25pm View 2

32. Absorber 8-27-2010 4:27 – 8:25pm View 3

33. Stripper 8-27-2010 1:28 – 5:28pm View 1

34. Stripper 8-27-2010 2:28 – 6:28pm View 2

35. Stripper 8-27-2010 2:28 – 6:28pm View 3

36. Stripper 8-27-2010 3:28 – 8:26pm View 1

37. Stripper 8-27-2010 4:28 – 8:26pm View 2

38. Stripper 8-27-2010 4:28 – 8:26pm View 3

41. Questionnaire