Cristin-resultat-ID: 1252833
Sist endret: 31. august 2015, 11:20
NVI-rapporteringsår: 2015
Resultat
Vitenskapelig artikkel
2015

Formulating the optimization problem when using sequential quadratic programming applied to a simple LNG process

Bidragsytere:
  • Per Eilif Wahl og
  • Sigurd Weidemann Løvseth

Tidsskrift

Computers and Chemical Engineering
ISSN 0098-1354
e-ISSN 1873-4375
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2015
Publisert online: 2015
Trykket: 2015
Volum: 82
Sider: 1 - 12
Open Access

Importkilder

Scopus-ID: 2-s2.0-84935004447

Beskrivelse Beskrivelse

Tittel

Formulating the optimization problem when using sequential quadratic programming applied to a simple LNG process

Sammendrag

Sequential quadratic programming (SQP) may be very efficient compared with other techniques for the optimization of simple processes for the liquefaction of natural gas (LNG), and can be combined with process evaluation using commercial flowsheet simulators. However, the level of success is dependent on the formulation of the problem. In this work, effects of varying different aspects of the optimization problem formulation is investigated, such as variable selection, formulae for the estimation of derivatives, initial values, variable bounds, and formulation of constraints. Especially the formulation of the constraint for the temperature difference between the hot and cold composite curve is essential. The commonly used minimum temperature difference constraint should generally not be employed in gradient based optimization. Recommendations regarding optimization of simple LNG processes using SQP and flowsheet simulators are provided.

Bidragsytere

Per Eilif Wahl

  • Tilknyttet:
    Forfatter
    ved Gassteknologi ved SINTEF Energi AS

Sigurd Weidemann Løvseth

  • Tilknyttet:
    Forfatter
    ved Gassteknologi ved SINTEF Energi AS
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