Cristin-resultat-ID: 2016415
Sist endret: 9. januar 2023, 10:19
NVI-rapporteringsår: 2022
Resultat
Vitenskapelig artikkel
2022

Demonstration of non-linear model predictive control for optimal flexible operation of a CO2 capture plant

Bidragsytere:
  • Thor Mejdell
  • Hanne Marie Kvamsdal
  • S.O. Hauger
  • Fredrik Gjertsen
  • Finn Andrew Tobiesen og
  • Magne Hillestad

Tidsskrift

International Journal of Greenhouse Gas Control
ISSN 1750-5836
e-ISSN 1878-0148
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2022
Volum: 117
Sider: 1 - 11
Artikkelnummer: 103645
Open Access

Importkilder

Scopus-ID: 2-s2.0-85126970546

Beskrivelse Beskrivelse

Tittel

Demonstration of non-linear model predictive control for optimal flexible operation of a CO2 capture plant

Sammendrag

Due to the penetration of renewable intermittent energy, there is a need for coal and natural gas power plants to operate flexibly with variable load. This has resulted in an increasing interest in flexible and operational issues in the capture plant as well. In the present paper a nonlinear model predictive control (NMPC) system was tested at the Tiller pilot plant in Norway. The most important part of the NMPC software is the dynamic model representing the absorber/desorber plant. A previous first principle (mechanistic) dynamic model of the plant using MEA was modified for a solvent of AMP and piperazine, and then successfully verified by step response tests. The NMPC, which was set up to minimize the deviation from the capture rate setpoint and minimize the specific reboiler duty was then tested in a closed loop with large changes in flue gas flow and CO2 composition. Even for gas rate variations of more than 300% (110–340 m3/h) and CO2 concentration changes of 30%, the dynamic response was satisfactory. A test with frequently occurring constraints on the reboiler duty revealed a need for an extension to include direct control of the lean loading. Test of setpoint changes in total CO2 recovery showed that the control system managed to rapidly change from one capture rate to another with a time constant of typically 10 min. This might be used in a second layer of optimization, a dynamic real-time optimizer, that minimizes the capture costs during a longer horizon considering varying energy prices.

Bidragsytere

Thor Mejdell

  • Tilknyttet:
    Forfatter
    ved Prosessteknologi ved SINTEF AS

Hanne Marie Kvamsdal

  • Tilknyttet:
    Forfatter
    ved Prosessteknologi ved SINTEF AS

S.O. Hauger

  • Tilknyttet:
    Forfatter
    ved Andre institusjoner

Fredrik Gjertsen

  • Tilknyttet:
    Forfatter
    ved Andre institusjoner

Finn Andrew Tobiesen

  • Tilknyttet:
    Forfatter
    ved Andre institusjoner
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