Multiscale modeling and integration of a combined cycle power plant and a two-tank thermal energy storage system with gPROMS and SimCentral

JaeHun Chang, GunHee Lee, Derrick Adams, Hyungwoong Ahn, Jaecheol Lee, Min Oh

Research output: Contribution to journalArticlepeer-review

Abstract

With different computational tools, simulations ranging from detailed and rigorous mathematical models to overall process plant of black box models can be carried out. Whereas most of these computational tools cannot practically execute different scales of models at the same time, it becomes relevant to devise strategies in coupling two or more of them for better analysis of processes. In this light, this study proposes Excel as an interactive scale bridge of data exchange to aid the multiscale modeling and dynamic simulation of combined cycle (CC) power plant integration with two-tank thermal energy storage (TES) system using gPROMS and SimCentral. This is relevant to analyze not only the performance of TES, but the feasibility of its integration with CC in augmenting energy production to meet daily power demand. The integrated system modeled in four operational modes of CC increased in power generation by 7.3 MW at an efficiency of 98.30%. The study validated the usefulness of the TES integration of 99.66% efficiency. The research results provide a communication strategy for different computational tools and an approach to effectively increase CC power production to meet varying daily demand.
Original languageEnglish
JournalKorean Journal of Chemical Engineering
DOIs
Publication statusPublished - 15 Jun 2021

Keywords

  • Thermal energy storage
  • Combined Cycle
  • Multiscale modeling
  • Dynamic simulation
  • Parametric Study

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