Parametric investigation of combustion process optimization for Gas Turbines at SJ Putrajaya

Firas Basim Ismail Alnaimi*, Manmit Singh Jasbeer Singh, Ammar Al-Bazi, Nizar F.O. Al-Muhsen, Thabit Sultan Mohammed, Rami Hikmat Al-Hadeethi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Gas Turbine (GT) power plants have been represented as essential assets of energy units because of their numerous advantages compared to conventional coal power plants. However, their low thermal efficiency may make the continuous baseload operations a lossmaking alternative and threaten to continue. This fact is raising the importance of performing thermodynamic investigation according to the current operations’ conditions. This paper aims to conduct a thermodynamic investigation for two Siemens V94.2 gas turbine (GT) units based on current operations’ conditions. The reason for selecting these units is because they are operating at a much lower thermal efficiency than the designed thermal efficiency, and due to the age factor, the GTs are not suitable for major retrofitting due to poor return on investments. A numerical model is designed to simulate the overall thermodynamic process in the gas turbine using MATLAB SIMULINK. The obtained numerical results are validated by comparing them with the operational data collected from the stations. The thermal efficiency is increased by 30%, with a maximum output power equal to 140MW. The power output had decreased by 0.2% when the ambient temperature was increased by about 6.0 oC. A graphical optimization, where various conditions are plotted as graphs, is also carried out to achieve the maximum thermal efficiency and power output. Finally, a number of recommendations are made to address decreased thermal efficiency and output power.

Original languageEnglish
Pages (from-to)5722-5732
Number of pages11
JournalEnergy Reports
Early online date11 Sept 2021
Publication statusPublished - 7 Nov 2021

Bibliographical note

Funding Information:
This research was financially supported by Universiti Tenaga Nasional, Malaysia through BOLD refresh publication fund 2021 (J510050002-BOLDRefresh2025-Centre of Excellence).

Publisher Copyright:
© 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (


  • Air–fuel ratio
  • Ambient temperature
  • Compression ratio
  • Gas Turbine power plant
  • SIMULINK model
  • Turbine inlet temperature


Dive into the research topics of 'Parametric investigation of combustion process optimization for Gas Turbines at SJ Putrajaya'. Together they form a unique fingerprint.

Cite this