Gas Turbine Airflow Control for Optimum Heat Recovery

Rowen, W. I.; Housen, R. L. Van

doi:10.1115/1.3227401

Cited by 19 publications

(7 citation statements)

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“…Hunt et al (1992) and Balakrishnan & weil (1996) also carried out a literature survey in this area in 1992 and 1996 respectively. Rowen and Housen (1983) investigated GT airflow control for optimum heat recovery and its advantages at gas turbine part-load conditions. Hagan et al ( (2002Hagan et al ( ( ), (1999) presented an overview of neural networks and their applications to control systems.…”

Section: Black-box Modelsmentioning

confidence: 99%

Design of conventional and neural network based controllers for a single-shaft gas turbine

Asgari

Jegarkandi

Chen

et al. 2017

AEAT

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Purpose -The purpose of this paper is to develop and compare conventional and neural network based controllers for gas turbines.Design/methodology/approach -Design of two different controllers is considered. These controllers consist of a NARMA-L2 which is an ANN-based nonlinear autoregressive moving average (NARMA) controller with feedback linearization, and a conventional proportional-integrator-derivative (PID) controller for a low-power aero gas turbine.They are briefly described and their parameters are adjusted and tuned in Simulink-MATLAB environment according to the requirement of the gas turbine system and the control objectives. For this purpose, Simulink and neural network based modelling is employed. Performances of the controllers are explored and compared on the base of design criteria and performance indices.Findings -It is shown that NARMA-L2, as a neural network based controller, has a superior performance to the PID controller.Practical implications -Using artificial intelligence in gas turbine control systems.Originality/value -Providing a novel methodology for control of gas turbines.

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Section: Black-box Modelsmentioning

confidence: 99%

Design of conventional and neural network based controllers for a single-shaft gas turbine

Asgari

Jegarkandi

Chen

et al. 2017

AEAT

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“…A complex system must first of all be divided into simpler components that implement the conservation equations (6). The boundary of each element of the whole system can then be used as a point of the spatial discretization of the equations.…”

Section: Spatial Discretization Of the Equationsmentioning

confidence: 99%

“…The mathematical model presented thus far consists of three partial differential equations that must be applied to every point of the spatial discretization of the system under study. A complex system must first of all be divided into simpler components that implement the conservation equations (6). The boundary of each element of the whole system can then be used as a point of the spatial discretization of the equations.…”

Section: Spatial Discretization Of the Equationsmentioning

confidence: 99%

“…Indeed, in these systems several complex physical phenomena occur, which make the accurate modelling of the system with simple models difficult. The first attempts in this field came with the development of simplified linear models that were represented from the control point of view through transfer functions and analysis in the frequency domain [1][2][3][4][5][6]. Subsequently, other models were developed taking into account the actual behaviour of individual components through their stationary characteristic.…”

Section: Introductionmentioning

confidence: 99%

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Dimensionless flow equations for dynamic simulation of turbomachine components and fluid systems

Puddu

2009

Proceedings of the Institution of Mechanical Engineers, Part A:

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In this work a dimensionless form of the equations of motion used for dynamic simulation of turbomachine components is presented. The dimensionless equations are obtained from the governing equations of unsteady compressible viscous one-dimensional flow by defining three variables of state that have a direct link with the variables measured in the experimental investigations: total pressure, total temperature and the Mach number. The new dimensionless form of equations presents the characteristics of generality that makes it easy to apply to many fluid dynamic problems. The application of dimensionless equations to more complex systems can be simplified and made easier by using the lumped parameter discretization method.\ud Another important feature of the dimensionless system of equations is that it can be solved explicitly without any iterative process within each step of integration, thus making it easier and faster during dynamic simulations. The equations can be further simplified in the case of stationary flows for which some examples of application are given in order to highlight the generality of the method and its ease of application

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“…The use of VGVs as a means of improving the part-load performance for stationary combined cycles has been addressed previously [5][6][7][8][9][10]. In fact, in fairly modern stationary combined cycles, the gas turbine(s) is generally equipped with three rows of VGVs, allowing a high gas turbine exhaust gas temperature down to 40% load [11].…”

Section: Introductionmentioning

confidence: 99%

Variable geometry gas turbines for improving the part-load performance of marine combined cycles – Combined cycle performance

Haglind

2011

Applied Thermal Engineering

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The part-load performance of combined cycles intended for naval use is of great importance, and it is influenced by the gas turbine configuration and load control strategy. This paper is aimed at quantifying the effects of variable geometry gas turbines on the part-load efficiency for combined cycles used for ship propulsion.Moreover, the paper is aimed at developing methodologies and deriving models for part-load simulations suitable for energy system analysis of various components within combined cycle power plants. Two different gas turbine configurations are studied, a two-shaft aero-derivative configuration and a single-shaft industrial configuration. The results suggest that by the use of variable geometry gas turbines, the combined cycle part-load performance can be improved. In order to minimise the voyage fuel consumption, a combined cycle featuring two-shaft gas turbines with * Corresponding author. Tel.: +45 45 25 41 13; fax: +45 45 93 52 15. E-mail address: frh@mek.dtu.dk (F. Haglind) 2 VAN control is a promising alternative for container ships, while a cycle with singleshaft gas turbine configurations with VGV control is indicated to be an equally good choice for tankers and carriers.

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Gas Turbine Airflow Control for Optimum Heat Recovery

Cited by 19 publications

References 0 publications

Design of conventional and neural network based controllers for a single-shaft gas turbine

Design of conventional and neural network based controllers for a single-shaft gas turbine

Dimensionless flow equations for dynamic simulation of turbomachine components and fluid systems

Variable geometry gas turbines for improving the part-load performance of marine combined cycles – Combined cycle performance

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