Simulation Modeling of 140 MW CCGT Quality Indicators Based on DIN-VDI 4661 Standard Using Ebsilon® Professional Software

Authors

  • Mickael Ruben Kaiway Universitas Cenderawasih, Indonesia
  • Agustinus Giai Universitas Cenderawasih, Indonesia
  • Nourish Christin Griapon Universitas Cenderawasih, Indonesia
  • Yohanis Tangke Tosuli Universitas Cenderawasih, Indonesia
  • Obet Takke Ranteallo Universitas Cenderawasih, Indonesia
  • Samuel Parlindungan Siregar Universitas Cenderawasih, Indonesia
  • Yohanis Yulius Wanane Universitas Cenderawasih, Indonesia
  • Allo Sarira Pongsapan Universitas Cenderawasih, Indonesia
  • Anastasia Sri Werdhani Universitas Cenderawasih, Indonesia
  • Pither Palamba Universitas Cenderawasih, Indonesia
  • Johni Jonatan Numberi Universitas Cenderawasih, Indonesia

DOI:

https://doi.org/10.70609/gtech.v9i2.6614

Keywords:

CCGT, DIN-VDI 4661, Ebsilon® Professional, Energy efficiency, Quality Indicators

Abstract

The operational efficiency of mid-capacity (140 MW) Combined Cycle Gas and Steam Power Plants (CCGT) remains underexplored concerning the DIN-VDI 4661 standard, which defines key quality metrics for energy systems. Addressing this gap is crucial for establishing standardized benchmarks to optimize performance and reduce energy losses. Existing studies mainly focus on Combined Cycle Gas Turbine (CCGT) units outside the 100–180 MW range and often do not explicitly follow DIN-VDI 4661, limiting efficiency comparisons and hindering targeted optimizations. This study simulates a 140 MW CCGT using Ebsilon® Professional software, incorporating DIN-VDI 4661 guidelines to assess eight quality indicators, including thermal efficiency, fuel utilization, and power-to-heat ratio. The model integrates gas and steam turbines, heat recovery, and auxiliary components, with input parameters validated against industry data. Energy balance analysis and sensitivity tests identified loss points. Results show a gas turbine thermal efficiency of 31.39%, steam turbine efficiency of 39.59%, and total system efficiency of 48.42%. However, significant energy losses (52% of input energy) were observed, mainly in gas turbines (87,000 kW) and steam turbines (56,000 kW). These findings highlight the need for design optimizations, such as improving heat recovery and turbine efficiency, to meet DIN-VDI 4661 benchmarks.

References

Arakelyan, E. K., Andryushin, A. V., Mezin, S. V., Pashchenko, F. F., & Kosoy, A. A. (2022). Using a Computer Simulator to Create a Digital Model of a CCGT Power Unit. IFAC-PapersOnLine, 55(9), 472–478. https://doi.org/10.1016/j.ifacol.2022.07.082

Arakelyan, E. K., Andryushin, A. V., Pashchenko, F. F., Mezin, S. V., Andryushin, K. A., & Kosoi, A. A. (2024). Improving the PGU-450T Unit’s Maneuverability while Retaining Its Reliability and Economic Efficiency in Variable Load Modes. Thermal Engineering, 71(2), 108–117. https://doi.org/10.1134/S0040601524020022

Bany Ata, A., Seufert, P. M., Heinze, C., Alobaid, F., & Epple, B. (2021). Optimization of Integrated Gasification Combined-Cycle Power Plant for Polygeneration of Power and Chemicals. Energies, 14(21), 7285. https://doi.org/10.3390/en14217285

Castell, A., & Solé, C. (2015). Design of latent heat storage systems using phase change materials (PCMs). In Advances in Thermal Energy Storage Systems (pp. 285–305). Elsevier. https://doi.org/10.1533/9781782420965.2.285

Chen, J., Huang, W., Cen, J., Cao, W., Li, Z., Li, F., & Jiang, F. (2022). Heat extraction from hot dry rock by super-long gravity heat pipe: Selection of working fluid. Energy, 255, 124531. https://doi.org/10.1016/j.energy.2022.124531

Eboh, F. C., Andersson, B.-Å., & Richards, T. (2019). Economic evaluation of improvements in a waste-to-energy combined heat and power plant. Waste Management, 100, 75–83. https://doi.org/10.1016/j.wasman.2019.09.008

Hassan, T. N., & Manji, S. T. (2023). Simulating Combined Cycle and Gas Turbine Power Plant under Design Condition using Open-Source Software DWSIM: A Comparative Study. ARO-The Scientific Journal of Koya University, 11(1), 60–71. https://doi.org/10.14500/aro.11098

Ibrahim, T. K., Mohammed, M. K., Awad, O. I., Rahman, M. M., Najafi, G., Basrawi, F., Abd Alla, A. N., & Mamat, R. (2017). The optimum performance of the combined cycle power plant: A comprehensive review. Renewable and Sustainable Energy Reviews, 79, 459–474. https://doi.org/10.1016/j.rser.2017.05.060

Jowkar, S., Jafari, M., & Morad, M. R. (2019). Heat transfer characteristics of high flow rate electrospray and droplet cooling. Applied Thermal Engineering, 162, 114239. https://doi.org/10.1016/j.applthermaleng.2019.114239

Kato, S. (2011). An empirical consistency test using thermodynamic consistency lines for the VLE data of 7262 constant-temperature and 5167 constant-pressure binaries. Fluid Phase Equilibria, 302(1–2), 202–212. https://doi.org/10.1016/j.fluid.2010.10.027

Li, Q., Maeda, T., Kamada, Y., & Mori, N. (2017). Investigation of wake effects on a Horizontal Axis Wind Turbine in field experiments (Part I: Horizontal axis direction). Energy, 134, 482–492. https://doi.org/10.1016/j.energy.2017.05.187

Liu, K., Chen, D., Serbin, S., & Patlaichuk, V. (2023). Improving the Efficiency of the Gas Turbine Units. In K. Liu, D. Chen, S. Serbin, & V. Patlaichuk (Eds.), Gas Turbines Structural Properties, Operation Principles and Design Features (pp. 243–256). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-0977-3_17

Nannarone, A., & Klein, S. A. (2019). Start-Up Optimization of a CCGT Power Station Using Model-Based Gas Turbine Control. Journal of Engineering for Gas Turbines and Power, 141(4), 041018. https://doi.org/10.1115/1.4041273

Roy, S. (2024). Standard log-capture differentials as performance metrics for deepwater wave power generation. Energy, 299, 131004. https://doi.org/10.1016/j.energy.2024.131004

Subramanyam, V., & Gorodetsky, A. (2017). Municipal wastes and other potential fuels for use in IGCC systems. In Integrated Gasification Combined Cycle (IGCC) Technologies (pp. 181–219). Elsevier. https://doi.org/10.1016/B978-0-08-100167-7.00005-6

Swetha, N. K., Kusuma, K. S., Sahana, K. R., Shobha, C. R., Abhijith, D., Akila, P., & Suma, M. N. (2023). Sigma metric analysis of quality indicators across the testing process as an effective tool for the evaluation of laboratory performance. Medical Journal Armed Forces India, 79, S150–S155. https://doi.org/10.1016/j.mjafi.2022.04.010

Talukder, P., & Soori, P. K. (2015). Integration of parabolic trough collectors with natural gas Combined Cycle power plants in United Arab Emirates. 2015 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 62–69. https://doi.org/10.1109/ICSGCE.2015.7454270

VDI. (2024). VDI/DIN- Kommission KRdL. VDI Nachrichten, 78(05), 39–39. https://doi.org/10.51202/0042-1758-2024-05-39

Wu, S., Zhang, Y., & Liu, S. (2021). Transient thermal dissipation efficiency based method for topology optimization of transient heat conduction structures. International Journal of Heat and Mass Transfer, 170, 121004. https://doi.org/10.1016/j.ijheatmasstransfer.2021.121004

Xu, J., Tian, Y., Wang, F., Yang, G., & Zhao, C. (2024). Resilience-economy-environment equilibrium based configuration interaction approach towards distributed energy system in energy intensive industry parks. Renewable and Sustainable Energy Reviews, 191, 114139. https://doi.org/10.1016/j.rser.2023.114139

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Published

2025-04-12

How to Cite

Simulation Modeling of 140 MW CCGT Quality Indicators Based on DIN-VDI 4661 Standard Using Ebsilon® Professional Software. (2025). G-Tech: Jurnal Teknologi Terapan, 9(2), 871-881. https://doi.org/10.70609/gtech.v9i2.6614

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