화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korean Journal of Chemical Engineering, Vol.38, No.7, 1333-1347, July, 2021
DOI10.1007/s11814-021-0789-1  Export Citation
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 Lee1, Derrick Adams, HyungWoong Ahn2, JaeCheol Lee3, †, and Min Oh†
  • Department of Chemical Engineering, Hanbat National University, San 16-1, Dukmyung-dong, Yuseong-gu, Daejeon 34158, Korea
  • 1PENTECH Engineering, 803, JEI PLATZ, 186, Gasan Digital 1-ro, Geumcheon-gu, Seoul 08502, Korea
  • 2Institute for Materials and Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK
  • 3AVEVA, 13F, Kbiz DMC Tower, 189, Seongam-ro, Mapo-gu, Seoul 03929, Korea
E-mail:,
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 7.3MW 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.
Keywords:Thermal Energy Storage;Combined Cycle;Multiscale Modeling;Dynamic Simulation;Parametric Study
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