Thermodynamic performance evaluation of a steam turbine at kamojang geothermal power plant using operational data
Abstract
Geothermal power plants play a significant role in sustainable energy systems due to their ability to provide stable baseload electricity with relatively low carbon emissions. This study investigates the thermodynamic performance of the steam turbine at Kamojang Geothermal Power Plant Unit X using operational data collected over 29 days and processed into 6-hour averages to represent the local operating envelope around the turbine design point. A multiple linear regression model was developed to evaluate the effects of steam mass flow rate, inlet steam pressure, inlet steam temperature, and condenser pressure on turbine isentropic efficiency. The results indicate that inlet steam pressure, inlet steam temperature, and condenser pressure significantly influence turbine efficiency, whereas steam mass flow rate has no significant effect. The model explains 43.8% of the variation in turbine isentropic efficiency (R²=0.438) and yields a low in-sample prediction error (MAPE=0.12%), indicating that the regression closely reproduces the observed data within the limited operating range. In contrast, a considerable portion of the variation remains unexplained. Condenser pressure was identified as the dominant influencing parameter. These findings suggest that local deviations from the design point may contribute to off-design operation and additional thermodynamic irreversibility, providing practical implications for performance monitoring and operational optimization in geothermal power plants.
Keywords
Full Text:
PDFReferences
IEA, “World Energy Outlook 2023,” Paris, 2023.
Kementerian Energi dan Sumber Daya Mineral, “Handbook of Energy & Economic Statistics of Indonesia 2024,” Jakarta, 2024.
A. H. Qurrahman, W. Wilopo, S. P. Susanto, and M. Petrus, “Energy and Exergy Analysis of Dieng Geothermal Power Plant,” International Journal of Technology, vol. 12, no. 1, pp. 175–185, 2021, doi: 10.14716/ijtech.v12i1.4218.
R. Satria Perdana and N. Akhiriyanto, “Analisis Efisiensi Thermal Dan Eksergi Pada Pembangkit Listrik Tenaga Panas Bumi (PLTP) Tipe Single Flash,” in SNTEM, 2022, pp. 1340–1352. doi: 10.53026/sntem.v2i1.814.
L. O. Musa, A. Rahman, I. Gapshel, and T. Sombokanan, “Analisis Performansi Turbin dan Generator di PLTP Lahendong Unit 1 Tomohon,” Jurnal Teknik Mesin Sinergi, vol. 17, no. 1, pp. 25–36, Dec. 2019, doi: 10.31963/sinergi.v17i1.1589.
I. Yanti, Z. Effendi, and I. U. P. Rangkuti, “Pengaruh Laju Massa Uap Terhadap Efisiensi Kerja Turbin Uap Pada Pabrik Kelapa Sawit Kapasitas 50 Ton/Jam,” Turbo : Jurnal Program Studi Teknik Mesin, vol. 13, no. 1, Jun. 2024, doi: 10.24127/trb.v13i1.3301.
K. C. Amrita and G. Nugroho, “Analisis Thermal Pada Pembangkit Listrik Tenaga Panas Bumi PT. Indonesia Power UPJP Kamojang,” Jurnal Teknik ITS, vol. 7, no. 2, pp. B165–B169, 2018, doi: 10.12962/j23373539.v7i2.35846.
A. A. Aloanis, H. Taunaumang, A. Rampengan, and J. Polii, “Analisis Eksergi dan Optimasi Pembangkit Listrik Tenaga Panas Bumi Lahendong Unit-2,” Jurnal FisTa: Fisika Dan Terapannya, vol. 2, no. 2, pp. 66–75, 2021, doi: 10.53682/fista.v2i2.131.
T. Başaran, B. Çetin, and M. R. Özdemir, “Thermodynamic and Mathematical Analysis of Geothermal Power Plants Operating in Different Climatic Conditions,” Case Studies in Thermal Engineering, vol. 30, Feb. 2022, doi: 10.1016/j.csite.2021.101727.
W. Cheng et al., “Diagnostics and Prognostics in Power Plants: A systematic review,” Mar. 01, 2025, Elsevier Ltd. doi: 10.1016/j.ress.2024.110663.
W. Ling, Y. Liu, R. Young, T. T. Cladouhos, and B. Jafarpour, “Efficient Data-Driven Models for Prediction and Optimization of Geothermal Power Plant Operations,” Geothermics, vol. 119, May 2024, doi: 10.1016/j.geothermics.2024.102924.
A. Dutta, D. Datta, S. J. Malebary, M. M. Alam, M. R. Gorji, and S. M. Eldin, “Development of Thermodynamically Assisted Machine Learning Model to Select Best Fuel for The Thermal Power Station,” Case Studies in Thermal Engineering, vol. 49, Sep. 2023, doi: 10.1016/j.csite.2023.103208.
R. DiPippo, Geothermal power plants: principles, applications, case studies and environmental impact. Butterworth-Heinemann, 2012.
W. Harvey and K. Wallace, “10 - Flash Steam Geothermal Energy Conversion Systems: Single-, Double-, and Triple-Flash and Combined-Cycle Plants,” in Geothermal Power Generation, R. DiPippo, Ed., Woodhead Publishing, 2016, pp. 249–290. doi: https://doi.org/10.1016/B978-0-08-100337-4.00010-3.
Y. A. Cengel, M. A. Boles, and M. Kanoglu, Thermodynamics An Engineering Approach, 9th ed. McGraw-Hill Education. NY, 2019.
I. Ghozali, Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25, 9th ed. Semarang: Badan Penerbit Universitas Diponegoro, 2018.
G. Mardiatmoko, “The Importance of the Classical Assumption Test in Multiple Linear Regression Analysis (A Case Study of the Preparation of the Allometric Equation of Young Walnuts),” Barekeng, vol. 14, no. 3, pp. 333–342, Sep. 2020, doi: 10.30598/barekengvol14iss3pp333-342.
S. S. M. Wara, A. F. Adziima, M. Nasrudin, and A. R. Pratama, “Evaluasi Kinerja Uji Normalitas pada Ragam Distribusi dan Ukuran Sampel,” Jurnal Diferensial, vol. 7, no. 2, pp. 172–183, Nov. 2025, doi: 10.35508/jd.v7i2.24042.
F. Hendajani, I. P. Wardhani, S. Widayati, and S. Soegijanto, “Data Analisis Permintaan Barang dengan Metode Peramalan,” EKOMABIS: Jurnal Ekonomi Manajemen Bisnis, vol. 3, no. 02, pp. 169–180, Aug. 2023, doi: 10.37366/ekomabis.v3i02.254.
DOI: http://dx.doi.org/10.30811/jpl.v24i3.8953
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi-BerbagiSerupa 4.0 Internasional .
Alamat Surat :
Politeknik Negeri LhokseumaweJl. Banda Aceh-Medan Km 280
Buketrata, Lhokseumawe, 24301, Aceh, Indonesia
























