Comparative Analysis of Gas Turbine Compressor Efficiency Before and After DuraVee-to-DuraGT Final Filter Replacement at PT. Energi Listrik Batam
DOI:
https://doi.org/10.70716/reswara.v4i3.630Keywords:
compressor efficiency, final filter, gas turbineAbstract
Compressor performance is one of the primary factors influencing the thermal efficiency and power output of a gas turbine. The condition of the inlet air filtration system plays a crucial role in compressor performance, as it directly affects airflow resistance and inlet air conditions. This study aims to analyze and compare the compressor efficiency of Gas Turbine Unit 1 at PT Energi Listrik Batam before and after the replacement of the final filter from the DuraVee® XL98 type to the DuraGT™ V300F9 type. The operational data used in this study consist of historical unit data collected from several representative operating periods, including the period when the DuraVee® XL98 final filter was in service, the initial operating period of the DuraGT™ V300F9 filter, and the most recent operating condition after five years of using the new filter type. The analyzed parameters include compressor inlet air pressure and temperature, pressure ratio, gas turbine power output, and compressor efficiency. The analysis was conducted by comparing compressor efficiency values under each operating condition based on selected and processed actual plant operating data. The results indicate that replacing the final filter type from DuraVee® XL98 to DuraGT™ V300F9 improved gas turbine compressor efficiency by 0.53–1.10%, with an average increase of 0.75% across all load conditions.
References
Abid, A., & Sarowar, M. T. (2022). Heat transfer, thermal stress and failure inspection of a gas turbine compressor stator blade made of five different conventional superalloys and ultra-high-temperature ceramic material: A direct numerical investigation. Journal of Failure Analysis and Prevention, 22(3), 878–898.
Aslan, E. (2024). Prediction and comparative analysis of emissions from gas turbines using random search optimization and different machine learning-based algorithms. Bulletin of the Polish Academy of Sciences. Technical Sciences, 72(6).
Auda, S. A., & Ali, O. M. (2023). Effect of operating conditions and air filters maintenance on the performance and efficiency of gas turbine power plant. Materials Today: Proceedings.
Brooks, F. J. (2000). GE gas turbine performance characteristics. GE Power Systems, Schenectady, NY.
Elwardany, M., Nassib, A. E. M., & Mohamed, H. A. (2023). Comparative evaluation for selected gas turbine cycles. International Journal of Thermodynamics, 26(4), 57–67.
Frank, O. L., Omer, S. A., Riffat, S. B., & Mempouo, B. (2015). The indispensability of good operation & maintenance (O&M) manuals in the operation and maintenance of low carbon buildings. Sustainable Cities and Society, 14, e1–e9. https://doi.org/10.1016/j.scs.2014.06.002
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.
Hou, S., Zhang, F., & Yang, Q. (2024). Comparative analysis of supercritical CO2–ORC combined cycle for gas turbine waste heat recovery based on multi-objective optimization. Applied Thermal Engineering, 236, 121776.
Kotowicz, J., Job, M., Brzęczek, M., Nawrat, K., & Mędrych, J. (2016). The methodology of the gas turbine efficiency calculation. Archives of Thermodynamics, 19–35.
Kowalczyk, T. (2022). Comparative analysis of hybrid energy storage based on a gas–gas system and a conventional compressed air energy storage based on a recuperated gas turbine round trip efficiency, exergy losses, and heat exchanges start-up losses. Energy Conversion and Management, 258, 115467. https://doi.org/10.1016/j.enconman.2022.115467
Kurz, R., Brun, K., Pinelli, M., & Suman, A. (2024). Status of Gas Turbine Performance Degradation. Turbo Expo: Power for Land, Sea, and Air, 88018, V009T19A008. https://doi.org/10.1115/GT2024-122216
Mulyono, V. A. (2022). Analisis Kinerja Turbin Gas MS7001EA. Praxis: Jurnal Sains, Teknologi, Masyarakat Dan Jejaring, 4(2), 107–115. https://doi.org/10.24167/praxis.v4i2.3216
Naghibi, A. (2024). Exploring explainable ensemble machine learning methods for long-term performance prediction of industrial gas turbines: A comparative analysis. Engineering Applications of Artificial Intelligence, 138, 109318.
Purba, J. H., & Yuwana, F. A. (2024). Analisis Efisiensi Gas Turbine Unit 2 Sebelum dan Sesudah Overhaul di PLTGU Tanjung Uncang. Jurnal Teknologi Dan Riset Terapan (JATRA), 6(1), 1–6. https://doi.org/10.30871/jatra.v6i1.7033
Putra, Z. T. W., & Setiyono, A. (2024). EVALUASI EFISIENSI KOMPRESOR CP-9600 DI UNIT PEMROSESAN GAS PADA CENTRAL PROCESSING AREA SUKOWATI. Prosiding Seminar Nasional Teknologi Energi Dan Mineral, 4(1), 595–603. https://doi.org/10.53026/prosidingsntem.v4i1.215
Schuldt, T., Däuber, E., Engelke, T., & Schmidt, F. (2020). Air filters for indoor environments: Interlaboratory evaluation of the new international filter testing standard ISO 16890. Indoor Air, 30(3), 473–480. https://doi.org/10.1111/ina.12660
Simanjuntak, C. B., Putra, I. Z., Toar, H., & Aryeni, I. (2024). Analisis Pengaruh Penggantian Air Inlet Filter Terhadap Kerja Kompresor Di Pt. Energi Listrik Batam. Jurnal Rekayasa Energi, 3(1), 48–56.
Suchocki, T., Kazimierski, P., Lampart, P., Januszewicz, K., Białecki, T., Gawron, B., & Janicka, A. (2023). A comparative study of pentanol (C5 alcohol) and kerosene blends in terms of gas turbine engine performance and exhaust gas emission. Fuel, 334, 126741.
Sunkler, R., & Stalder, J.-P. (2023). A New Concept for Improving the Efficiency of Gas Turbines for Power Plant Operation. Turbo Expo: Power for Land, Sea, and Air, 86984, V005T06A004. https://doi.org/10.1115/GT2023-101445
Water, A., & Plant, S. A. R. W. T. (2019). CITY OF AUSTIN.
Yit, J. E., Chew, B. T., & Yau, Y. H. (2020). A review of air filter test standards for particulate matter of general ventilation. Building Services Engineering Research and Technology, 41(6), 758–771. https://doi.org/10.1177/0143624420915626
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Jhon Hericson Purba, Erik Manasse, Jihan Zeinyuta, Muhammad Veven (Author)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




