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Related Experiment Videos

Process variables data from the lean vapour compressor campaign at Technology Centre Mongstad.

Philip Fosbøl1, Randi Neerup1, Susana Almeida1

  • 1Center for Energy Resources Engineering (CERE), Department of Chemical Engineering, Technical University of Denmark (DTU), Søltofts Plads, Building 229, 2800, Kongens Lyngby, Denmark.

Data in Brief
|November 1, 2019
PubMed
Summary

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Testing of the lean vapor compressor (LVC) unit at Technology Centre Mongstad (TCM) provides insights into CO2 capture efficiency and energy use. This research details 16 test cases, varying parameters like pressure and flow, to understand LVC performance.

Area of Science:

  • Chemical Engineering
  • Carbon Capture Technologies
  • Process Optimization

Background:

  • The Technology Centre Mongstad (TCM) in Norway operates a lean vapor compressor (LVC) unit for carbon capture.
  • Previous studies have documented LVC testing campaigns at TCM.
  • This dataset offers supplementary information to existing research on LVC performance.

Purpose of the Study:

  • To evaluate the process performance of the lean vapor compressor (LVC) unit.
  • To determine the impact of LVC operation on CO2 capture efficiency.
  • To analyze the energy profile of the TCM plant during LVC testing.

Main Methods:

  • Conducted 16 test cases with the LVC unit.
  • Varied key process parameters including LVC pressure, solvent flow, inlet flue gas CO2 concentration, and stripper pressure.
Keywords:
Carbon capture and storage (CCS)Lean vapor compression (LVC)Monoethanolamine (MEA)Process optimizationSpecific reboiler duty (SRD)Technology Centre Mongstad (TCM)

Related Experiment Videos

  • Recorded and analyzed absorber and stripper process conditions.

    • Main Results:

    • Detailed process data from 16 distinct test cases are presented.
    • The study provides a comprehensive dataset on LVC operational parameters.
    • Information on CO2 capture efficiency and energy consumption is available.

    Conclusions:

    • The collected data offers valuable insights into LVC performance under various conditions.
    • This research contributes to a deeper understanding of CO2 capture technologies.
    • The findings support the optimization of carbon capture processes at industrial scale.