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Research Papers: Gas Turbines: Aircraft Engine

A Holistic Approach to GTCC Operational Efficiency Improvement Studies

[+] Author and Article Information
Sowande Z. Boksteen

Institute for Engineering and Applied Science,
Rotterdam University,
G.J. de Jonghweg 4-6,
Rotterdam 3015 GG, The Netherlands
e-mail: s.z.boksteen@hr.nl

Jos P. van Buijtenen

Professor
Faculty of Mechanical,
Maritime and Materials Engineering,
Delft University of Technology,
Delft 2628 CD, The Netherlands

Dick van der Vecht

Maintenance Projects and Competences,
GDF SUEZ Energie Europe,
Zwolle 8041 BL, The Netherlands

1Corresponding author.

Contributed by the Aircraft Engine Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 15, 2014; final manuscript received August 29, 2014; published online October 28, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 137(4), 041204 (Oct 28, 2014) (10 pages) Paper No: GTP-14-1396; doi: 10.1115/1.4028567 History: Received July 15, 2014; Revised August 29, 2014

Because of the increasing share of renewables in the energy market, part load operation of gas turbine combined cycle (GTCC) power plants has become a major issue. In combination with the variable ambient conditions and fuel quality, load variations cause these plants to be operated across a wide range of conditions and settings. However, efficiency improvement and optimization studies are often focused on single operating points. The current study assesses efficiency improvement possibilities for the KA26 GTCC plant, as recently built in Lelystad, The Netherlands, taking into account that the plant is operated under frequently varying conditions and load settings. In this context, free operational parameters play an important role: these are the process parameters, which can be adjusted by the operator without compromising safety and other operational objectives. The study applies a steady state thermodynamic model with second-law analysis for exploring the entire operational space. A method is presented for revealing correlations between the exergy losses in major system components, indicating component interactions. This is achieved with a set of numerical simulations, in which operational conditions and settings are randomly varied, recording plant efficiency and exergy losses in major components. The resulting data is used to identify distinct operational regimes for the GTCC. Finally, the free operational parameters are used as decision variables in a genetic algorithm, optimizing plant efficiency in the operational regimes identified earlier. The results show that the optimal settings for decision variables depend on the regime of operation.

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Figures

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Fig. 1

Plant layout in Thermoflex

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Fig. 2

Major components' exergy losses as function of GT load setting; relative to total fuel exergy input

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Fig. 3

Mutual plot of component exergy losses under random variation of operational parameters; relative to total fuel exergy input. (Exemplary guide for interpretation: in the mutual plot of GT and HPS-ATT, the relative exergy losses in the GT are on the Y-axis.)

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Fig. 4

Scatter plot of the operational space of low pressure steam turbine exergy loss and plant efficiency; contours of Gaussian mixtures clusters

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Fig. 5

Cooling water temperatures associated with cluster 1 in Fig. 4

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Fig. 6

Scatter plot of the operational space of the gas turbine exergy loss and plant efficiency; contours of Gaussian mixtures clusters

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Fig. 7

Optimal input settings for 3 cluster centers compared to default inputs (normalized to [0 1] domain); the effect of all three optimizations was an efficiency increase of approx. 0.1%

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