Steady-State and Dynamic Performance Prediction of an Indirect Fired Gas Turbine Plant

1998 ◽  
Author(s):  
G. Crosa ◽  
L. Fantini ◽  
G. Ferrari ◽  
L. Pizzimenti ◽  
A. Trucco
Keyword(s):  
Gas Turbine ◽  
Performance Prediction ◽  
Dynamic Behaviour ◽  
Large Range ◽  
Dynamic Performance ◽  
Combined Cycle ◽  
Turbine Plant ◽  
First Results ◽  
Gas Turbine Plant ◽  
The Time Domain

The paper presents the first results of a research, in progress at the Istituto di Macchine e Sistemi Energetici of Genova University, about a gas-steam combined cycle with indirect fired gas-turbine. The study has dealt with the gas turbine plant which is the most innovative part of the process. To select the design point of every component, a thermodynamic parametric analysis over a large range of pressure ratios and a large range of mass flow ratio through the two characteristic by-passes has been developed. The off-design performances of the gas plant have been investigated and finally a proposal of control system has been made, tested using a simple mathematical model, able to analyse in the time domain the dynamic behaviour of the controlled gas plant.

scholarly journals Simulation of a Steam Injected Gas Turbine Plant Control System

1997 ◽  
Author(s):  
Shusheng Zang ◽  
Jaqiang Pan
Keyword(s):  
Gas Turbine ◽  
Flow Rate ◽  
Controller Design ◽  
Dynamic Performance ◽  
Linear Quadratic Regulator ◽  
Linear Quadratic ◽  
Turbine Plant ◽  
Fuel Flow ◽  
Lqr Controller ◽  
Gas Turbine Plant

The design of a modern Linear Quadratic Regulator (LQR) is described for a test steam injected gas turbine (STIG) unit. The LQR controller is obtained by using the fuel flow rate and the injected steam flow rate as the output parameters. To meet the goal of the shaft speed control, a classical Proportional Differential (PD) controller is compared to the LQR controller design. The control performance of the dynamic response of the STIG plant in the case of rejection of load is evaluated. The results of the computer simulation show a remarkable improvement on the dynamic performance of the STIG unit.

DADICC: Intelligent system for anomaly detection in a combined cycle gas turbine plant

2008 ◽  
Vol 34 (4) ◽  
pp. 2267-2277 ◽  
Author(s):  
A ARRANZ ◽  
A CRUZ ◽  
M SANZBOBI ◽  
P RUIZ ◽  
J COUTINO
Keyword(s):  
Anomaly Detection ◽  
Gas Turbine ◽  
Intelligent System ◽  
Combined Cycle ◽  
Turbine Plant ◽  
Gas Turbine Plant

The Optimum Pressure Ratio for a Combined Cycle Gas Turbine Plant

1995 ◽  
Vol 209 (4) ◽  
pp. 259-264 ◽  
Author(s):  
J H Horlock
Keyword(s):  
Gas Turbine ◽  
Pressure Ratio ◽  
Combined Cycle ◽  
Maximum Efficiency ◽  
Specific Work ◽  
Optimum Pressure ◽  
Turbine Plant ◽  
Gas Turbine Plant ◽  
Overall Efficiency ◽  
Gas Turbine Cycle

A graphical method of calculating the performance of gas turbine cycles, developed by Hawthorne and Davis (1), is adapted to determine the pressure ratio of a combined cycle gas turbine (CCGT) plant which will give maximum overall efficiency. The results of this approximate analysis show that the optimum pressure ratio is less than that for maximum efficiency in the higher level (gas turbine) cycle but greater than that for maximum specific work in that cycle. Introduction of reheat into the higher cycle increases the pressure ratio required for maximum overall efficiency.

Supporting Windpower Within a Separate Electric Power Grid

2011 ◽  
Author(s):  
Zygfryd Domachowski ◽  
Marek Dzida ◽  
M. Hossein Ghaemi
Keyword(s):  
Control System ◽  
Power System ◽  
Electric Power ◽  
Gas Turbine ◽  
Electric Power System ◽  
Combined Cycle ◽  
Turbine Plant ◽  
Wind Turbulence ◽  
Gas Turbine Plant ◽  
Plant Control

Utilization of windpower is considerably increasing in many countries around of the world. However, it produces an unreliable output due to the vagaries of the wind profile. To solve the problem, wind energy should be supported by local conventional sources. The requirements concerning the reliability and quality of electric energy supply can be most satisfactorily fulfilled when a windfarm is connected to a large electric power system. Then any electric power fluctuations, resulting either from wind turbulence or power demand variation, provoke system frequency variations. They should be damped by applying an appropriate control system of such a large power system. In this paper, the problem of control of a separate electric power system composed of windpower farm and supported by a gas turbine plant or a combined cycle has been investigated. First, the impact of wind turbulence on gas turbine plant control system has been modeled and simulated. This is carried out for different amplitudes and frequencies of wind speed. Next, the structure of gas turbine plant control system and its parameters have been adapted to limit the power and frequency fluctuations resulting from wind turbulence. Then the design is further developed by considering a combined cycle instead of a single gas turbine.

GTPOM: Thermo-Economic Optimization of Whole Gas Turbine Plant

2006 ◽  
Vol 128 (3) ◽  
pp. 535-542 ◽  
Author(s):  
Richard Knight ◽  
Mitsuru Obana ◽  
Christer von Wowern ◽  
Athanasios Mitakakis ◽  
Erhard Perz ◽  
...  
Keyword(s):  
Power Generation ◽  
Gas Turbine ◽  
Energy Systems ◽  
Software Tool ◽  
Combined Cycle ◽  
Plant Design ◽  
Economic Optimization ◽  
Turbine Plant ◽  
Trade Offs ◽  
Gas Turbine Plant

Trends towards distributed power generation and the deregulation of energy markets are increasing the requirement for software tools that optimize power generation plant design and operation. In this context, this paper describes the GTPOM (thermo-economic optimization of whole gas turbine plant) European project, funded in part through the European Commission’s 5th Framework Programme, focusing on the development and demonstration of an original software tool for the thermo-economic analysis and optimization of conventional and advanced energy systems based on gas turbine plant. PSEconomy, the software tool developed during the GTPOM project, provides a thermo-economic optimization capability for advanced and more-conventional energy systems, enabling the complex trade-offs between system performance and installed costs to be determined for different operational duties and market scenarios. Furthermore, the code is capable of determining the potential benefits of innovative cycles or layout modifications to existing plants compared with current plant configurations. The economic assessment is performed through a complete through-life cycle cost analysis, which includes the total capital cost of the plant, the cost of fuel, O&M costs and the expected revenues from the sale of power and heat. The optimization process, carried out with a GA-based algorithm, is able to pursue different objective functions as specified by the User. These include system efficiency, through-life cost of electricity and through-life internal rate of return. Three case studies demonstrating the capabilities of the new tool are presented in this paper, covering a conventional combined cycle system, a biomass plant and a CO2 sequestration gas turbine cycle. The software code is now commercially available and is expected to provide significant advantages in the near and long-term development of energy cycles.

Available Systems for the Conversion of Waste Heat to Electricity

2014 ◽  
Author(s):  
N. Tauveron ◽  
S. Colasson ◽  
J.-A. Gruss
Keyword(s):  
Gas Turbine ◽  
Waste Heat ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Combined Cycle ◽  
Maximum Temperature ◽  
Thermodynamic Efficiency ◽  
Turbine Plant ◽  
Wide Range ◽  
Gas Turbine Plant

The conversion of heat into electricity, generally speaking heat-to-power generation, is a wide area of technologies and applications. This paper focuses on available systems, excepted the internal combustion cycles, applied to transform (waste) heat to power. Data of referenced market proved or time-to-market technologies are presented. A database of more than 1100 references has been built. The following categories can be found: Rankine Cycle plant, Organic Rankine Cycle plant, Steam engine, Kalina Cycle plant, Brayton cycle plant, micro gas turbine, closed cycle gas turbine plant, combined cycle gas turbine plant, Stirling engine, Ericsson engine and thermoelectric generator. We intentionally target a range of power from Watts to hundreds of MW, covering the range of temperature [80–1000°C] usually addressed by these systems. The comparison of performances is hereby discussed and compared to thermodynamic principles and theoretical results in the graph Maximum temperature [°C] versus Thermodynamic efficiency. Comparison with Carnot and Chambadal-Novikov-Curzon-Ahlborn efficiencies are performed. A more original contribution is the presentation of the graph Power [W] versus Thermodynamic efficiency. The analysis reveals a monotonous trend inside each technology. Furthermore this general behavior covers a very wide range of power, including technological transitions. Finally, the position of each technology in the map Maximum temperature [°C] versus Power [W] is also analyzed. Explanations based on thermodynamics and techno-economic approaches are proposed.

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