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Research Papers: Gas Turbines: Controls, Diagnostics, and Instrumentation

Modeling and Simulation of the Dynamic Operating Behavior of a High Solar Share Gas Turbine System

[+] Author and Article Information
Christian Felsmann, Uwe Gampe

Technische Universität Dresden,
Dresden 01069, Germany

Stephan Heide

DNV GL,
Dresden 01217, Germany

Manfred Freimark

VGB PowerTech e.V.,
Essen 45136, Germany

Contributed by the Controls, Diagnostics and Instrumentation Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 10, 2014; final manuscript received July 30, 2014; published online October 7, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 137(3), 031601 (Oct 07, 2014) (9 pages) Paper No: GTP-14-1360; doi: 10.1115/1.4028445 History: Received July 10, 2014; Revised July 30, 2014

Solar gas turbine (GT) systems provide the opportunity to utilize solar heat at a much higher temperature than solar thermal power plants based on steam turbine cycles. Therefore, GT technology has the potential to improve the efficiency of future solar thermal power plants. Nevertheless, to achieve mature technology for commercial application, further development steps are required. Knowledge of the operational behavior of the solar GT system is the basis for the development of the systems control architecture and safety concept. The paper addresses dynamic simulation of high solar share GT systems, which are characterized by primary input of solar heat to the GT. To analyze the dynamic operating behavior, a model with parallel arrangement of the combustion chamber and the solar receiver was set up. By using the heaviside step function, the system dynamics were translated into transfer functions which are used to develop controllers for the particular system configuration. Two operating conditions were simulated to test the controller performance. The first case is the slow increase and decrease of solar heat flow, as part of a regular operation. The second case is an assumed rapid change of solar heat flow, which can be caused by clouds. For all cases, time plots of critical system parameters are shown and analyzed. The simulation results show much more complex system behavior compared to conventional GT systems. This is due to the additional solar heat source, large volumes, and stored thermal energy as well as the time delay of energy transportation caused by the piping system.

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References

Figures

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Fig. 2

Compressor map with beta line distribution

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Fig. 1

Parallel (a) and serial (b) system layout

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Fig. 9

Simulated receiver tube temperature decrease and comparison with published data in Ref. [19]

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Fig. 8

Temperature response at pipe outlet

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Fig. 4

SOLUGAS tube receiver (source: Uhlig [19])

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Fig. 5

Solar volumetric receiver (source: DLR)

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Fig. 6

Three-way valve solution (source: Kühme Armaturen GmbH)

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Fig. 7

Simulation results for a GT load increase (measured data provided by MAN Diesel &Turbo SE)

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Fig. 3

Expansion model for a cooled turbine stage

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Fig. 18

Input and control parameters of the shGT system (scenario 4: fast increase of solar heat input)

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Fig. 10

Complete simulation model of the shGT system

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Fig. 11

Basic control layout

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Fig. 16

Input and control parameters of the shGT system (scenario 2: slow decrease of solar heat input)

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Fig. 17

Input and control parameters of the shGT system (scenario 3: fast decrease of solar heat input)

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Fig. 12

Linearized solar line temperature control model

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Fig. 13

Step function response of the receiver outlet temperature controller

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Fig. 14

Controller test for rapid change of solar radiation

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Fig. 15

Input and control parameters of the shGT system (scenario 1: slow increase of solar heat input)

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