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Research Papers

An Advanced Surge Dynamic Model for Simulating Emergency Shutdown Events and Comparing Different Antisurge Strategies

[+] Author and Article Information
Enrico Munari, Michele Pinelli

Dipartimento di Ingegneria,
University of Ferrara,
Ferrara 44122, Italy

Mirko Morini

Dipartimento di Ingegneria e Architettura,
University of Parma,
Parma 43121, Italy

Klaus Brun, Sarah Simons, Jeffrey Moore

Southwest Research Institute,
San Antonio, TX 78238

Rainer Kurz

Solar Turbines, Inc.,
San Diego, CA 92123

1Corresponding author.

Manuscript received September 1, 2018; final manuscript received November 18, 2018; published online January 10, 2019. Editor: Jerzy T. Sawicki.

J. Eng. Gas Turbines Power 141(7), 071003 (Jan 10, 2019) (12 pages) Paper No: GTP-18-1592; doi: 10.1115/1.4042167 History: Received September 01, 2018; Revised November 18, 2018

The compressor surge is a phenomenon which has to be avoided since it implies the deterioration of performance and leads to mechanical damage to the compressor and system components. As a consequence, compression system models have a crucial role in predicting the phenomena which can occur in the compressor and pipelines during operation. In this paper, a dynamic model, developed in the matlab/simulink environment, is further implemented to allow the study of surge events caused by rapid transients, such as emergency shutdown events (ESD). The aim is to validate the model using the experimental data obtained in a single-stage centrifugal compressor installed in the test facility at Southwest Research Institute. The test facility consists of a closed loop system and is characterized by a recycling circuit, and thus a recycling valve, which is opened in case of surge or driver shutdown. Simulations were carried out at 17,800 and 19,800 rpm; the comparison with experimental data showed the accuracy of the model in simulating different opening rates and different sizes of the recycle valve, at both low and high suction pressure (HSP). Moreover, different actions for recovering/preventing surge were simulated by controlling different valves along the piping system and by adding a check valve immediately downstream the compressor. The results demonstrated the fidelity of the model and its capability of simulating piping systems with different configurations and components, also showing, qualitatively, the different effects of some alternative actions which can be taken after surge onset.

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Figures

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Fig. 1

Meter research facility (on the right) and centrifugal compressor and driver turbine (on the left) [21]

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Fig. 2

Meter research facility: schematic representation of the compressor and recycling circuit [21]

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Fig. 3

Driver module: (a) graphic representation and (b) pseudo-bond graph

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Fig. 4

Three-port module: (a) graphic representation and (b) bond graph

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Fig. 5

Recycling valve module: (a) graphic representation and (b) pseudo-bond graph

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Fig. 6

Check valve module: (a) graphic representation and (b) pseudo-bond graph

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Fig. 7

Overall model: (a) graphic representation and (b) pseudo-bond graph

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Fig. 8

Comparison between recorded data and simulation at 17,800 rpm, during ESD: (a) recycling valve opening and (b)compressor rotational speed

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Fig. 9

Emergency shutdown event: comparison between recorded data and simulation at 17,800 rpm—LSP

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Fig. 10

Emergency shutdown event: comparison between recorded data and simulation at 19,800 rpm—LSP

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Fig. 11

Emergency shutdown event: comparison between recorded data and simulation at 19,800 rpm—HSP

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Fig. 12

Surge at 17,800 rpm: (a) compressor dynamic curve; (b) discharge pressure and mass flow rate

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Fig. 13

Surge recovery at 17,800 rpm: re-opening of the outlet valve

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Fig. 14

Surge recovery at 17,800 rpm: closing of the suction valve

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Fig. 15

Surge recovery at 17,800 rpm: opening of the recycle valve

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Fig. 16

Surge at 17,800 rpm—the effect of the check valve on the surge onset: (a) compressor—dynamic curve; (b) discharge pressure and mass flow rate

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