Determining the Dominant Factor in Gas Turbine Thermal Efficiency: Machine Health vs. Compressor Washing Maintenance Using Two-Way ANOVA with Interaction
- DOI
- 10.2991/978-94-6463-926-1_26How to use a DOI?
- Keywords
- Gas Turbine; Thermal Efficiency; Two-way ANOVA With Interaction
- Abstract
Gas turbine thermal efficiency degradation presents significant operational challenges, with uncertainty persisting regarding the relative contributions of underlying machine health versus compressor washing maintenance to performance recovery. This study specifically aimed to identify the dominant factor healthy machine condition or compressor washing intervention most impacting thermal efficiency improvement. A two-way Analysis of Variance (ANOVA) with interaction effect was employed to statistically analyze the main effects of machine health status (healthy vs. unhealthy) and compressor washing application (washed vs. unwashed), along with their interaction effect, on thermal efficiency. Key statistical results revealed a highly significant main effect for machine health (F-statistic =24.,49, P-value =7.73×10-5), exceeding the critical F-value (4.35). In contrast, the main effect of compressor washing (F-statistic = 2.12, P-value = 0.161) and the interaction effect between health and washing (F-statistic = 2.12, P-value = 0.161) were statistically insignificant, failing to surpass the critical F-value (4.35). These findings conclusively demonstrate that the inherent health condition of the gas turbine is the dominant factor driving thermal efficiency, exerting a significantly stronger influence than compressor washing activities or any interaction between health and washing. Maintenance strategies should prioritize fundamental machine health over washing frequency.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Noor Hidayati AU - Vinsensius Satria Yudanto AU - Candra Damis Widiawaty AU - Marwah Masruroh PY - 2025 DA - 2025/12/31 TI - Determining the Dominant Factor in Gas Turbine Thermal Efficiency: Machine Health vs. Compressor Washing Maintenance Using Two-Way ANOVA with Interaction BT - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025) PB - Atlantis Press SP - 222 EP - 231 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-926-1_26 DO - 10.2991/978-94-6463-926-1_26 ID - Hidayati2025 ER -