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Dynamic simulation and optimization of the operation of boil-off gas compressors in a liquefied natural gas gasification plant

  • Namjin Jang
  • , Myoung Wook Shin
  • , Soo Hyoung Choi
  • , En Sup Yoon

Research output: Contribution to journalJournal articlepeer-review

Abstract

We propose an algorithm for the optimal operation schedule of the BOG compression process based on simulation of the dynamic behavior of an LNG tank. The algorithm uses an empirical boil-off rate model to predict the amount of BOG generation, and an MILP formulation to distribute the BOG compressors loads. Finally, a safety analysis is done using a dynamic simulator. To improve the accuracy, Aspen Dynamics with the Peng-Robinson equation of state is used in place of a simplified dynamic model used before. The dynamic simulation of the LNG tank pressure showed the results of oscillation within a safe pressure range while the BOG compressors were operated normally. The performance of the proposed algorithm was found to be superior to the algorithm used in routine processes as well as those from previous works in terms of safety and energy savings.

Original languageEnglish
Pages (from-to)1166-1171
Number of pages6
JournalKorean Journal of Chemical Engineering
Volume28
Issue number5
DOIs
StatePublished - 2011.05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Aspen Dynamics
  • Boil-off Gas
  • Dynamic Simulation
  • Operation
  • Optimization

Quacquarelli Symonds(QS) Subject Topics

  • Engineering - Chemical
  • Chemistry

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