Modelling of Dry-Low Emission Gas Turbine Fuel System using First Principle Data-Driven Method

  • Madiah Binti Omar Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia
  • Rosdiazli Ibrahim Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia
  • Mohd Faris Abdullah Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia
  • Mohammad Haizad Mohd Tarik Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia


Achieving reliable power generation from Dry Low Emission gas turbines together with low CO2 and NOx discharge is a great challenge, as the rigorous control strategy is susceptible to frequent trips. Therefore, it is crucial to establish a dynamic model of the turbine (such as the one commonly attributed to Rowen) to ascertain the stability of the system. However, the major distinctive fuel system design in the DLE gas turbine is not constructed in the well-established model. With this issue in mind, this paper proposes a modelling approach to the DLE gas turbine fuel system which consists of integrating the main and pilot gas fuel valve into Rowen’s model, using the First Principle Data-Driven (FPDD) method. First, the structure of the fuel system is determined and generated in system identification. Subsequently, the validated valve models are integrated into Rowen’s model as the actual setup of the DLE gas turbine system. Ultimately, the core of this modelling approach is fuel system integration based on the FPDD method to accurately represent the actual signals of the pilot and main gas fuel valves, gas fuel flow and average turbine temperature. Then, the actual signals are used to validate the whole structure of the model using MAE and RMSE analysis. The results demonstrate the high accuracy of the DLE gas turbine model representation for future utilization in fault identification and prediction study.

Author Biographies

Madiah Binti Omar, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia
Madiah B. Omar received the B.S. degree in chemical engineering from Universiti Teknologi PETRONAS, Perak, Malaysia in 2012 and the M.Eng. degree in Analytical Instruments, Measurement and Sensor Technology from Coburg University of Applied Sciences and Arts, Coburg, Germany, in 2014. She is currently pursuing the Ph.D. degree in electrical \& electronic engineering at Universiti Teknologi PETRONAS, Perak, Malaysia. Her research interest includes the gas turbine models, process control and fault prediction technique.
Rosdiazli Ibrahim, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia
Rosdiazli B. Ibrahim received the B.Eng. degree in electrical engineering from Universiti Putra Malaysia, Kembangan, Malaysia, in 1996, the M.Sc. degree in automation and control from Newcastle University, Newcastle upon Tyne, U.K., in 2000, and the Ph.D. degree in electrical and electronic engineering from the University of Glasgow, Glasgow, U.K., in 2008. He is an Associate Professor with the Department of Electrical and Electronics Engineering at Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia. He is currently, The Dean, Centre for Graduate Studies, UTP. His current research interests include intelligent control and non-linear multi-variable process modeling for control application.
Mohd Faris Abdullah, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia
Mohd Faris B. Abdullah completed his PhD at Universiti Teknologi PETRONAS (UTP) in 2015. He is currently a senior lecturer at UTP since 2009. Prior to that, he was working with Tenaga Nasional Berhad (TNB) since 1989 and serving distribution division for 12 years and transmission division for 8 years. His experience in the distribution division includes planning, construction, maintenance, metering, and protection. In the transmission division, he was working in the maintenance department that responsible for substation, lines, cables, protection, telecontrol and technical support. He is Professional Engineer (Board of Engineers Malaysia), Competent Engineer (Energy Commission), member of The Institute of Electrical \& Electronics Engineers (IEEE) and member of The Institute Of Engineers, Malaysia (IEM). His research field is in power systems.
Mohammad Haizad Mohd Tarik, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia
Mohammad Haizad B. Mohd Tarik received the B.Eng. degree in electrical and electronic engineering from Universiti Teknologi PETRONAS, Malaysia in 2004. He is currently pursuing the MSc degree in electrical and electronic engineering at Universiti Teknologi PETRONAS, Malaysia. His research interest includes the development of gas turbine model using a black box approach, optimization of machine learning algorithm and predictive analytics.


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How to Cite
BINTI OMAR, Madiah et al. Modelling of Dry-Low Emission Gas Turbine Fuel System using First Principle Data-Driven Method. Journal of Power Technologies, [S.l.], v. 100, n. 1, p. 1-13, mar. 2020. ISSN 2083-4195. Available at: <>. Date accessed: 23 july 2021.
Electrical Engineering


dry-low emission, gas turbine, Rowen's model, first principle data-driven, fuel valve, first-order transfer function

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