A Competitive Market Approach to Gas Turbine Technology Portfolio Selection

2011 ◽  
Author(s):  
Cedric Y. Justin ◽  
Simon I. Briceno ◽  
Dimitri N. Mavris ◽  
Frederic Villeneuve
Keyword(s):  
Gas Turbine ◽  
Portfolio Selection ◽  
Power Plants ◽  
Product Line ◽  
Strategic Decision ◽  
Response Analysis ◽  
Market Penetration ◽  
Integrated Method ◽  
Readiness Level ◽  
Heavy Duty Gas Turbine

Heavy duty gas turbine developments are major endeavors which use significant resource for development. Optimization of the technology portfolio is critical to yield a competitive product-line which is robust enough to compete in a dynamic market where vantage positions bring large profits but quickly erode over time. The current research addresses some of these challenges by proposing a transparent and integrated method aimed at investigating technology portfolio selection for future gas turbine-based power plants. The value-driven methodology analyzes technology investments, and is the foundation for a strategic decision framework that facilitates the formulation of robust and competitive technology portfolio solutions. A three-step process is proposed in this paper. A market response analysis is first carried out to estimate market penetration. A technology impact and readiness level analysis is performed next and augmented with a portfolio optimization. Finally, “what-if” scenarios are investigated to assess the robustness of selected technology portfolio candidates against a set of market conditions.

Performance of Gas Turbine Power Plants Controlled by Multiagent Scheme

2006 ◽  
Author(s):  
Lorenzo Dambrosio ◽  
Marco Mastrovito ◽  
Sergio M. Camporeale
Keyword(s):  
Artificial Intelligence ◽  
Gas Turbine ◽  
System Approach ◽  
Power Plants ◽  
Multiagent System ◽  
Control Process ◽  
Control Algorithms ◽  
Load Reduction ◽  
Heavy Duty ◽  
Heavy Duty Gas Turbine

In latter years the idea of artificial intelligence has been focused around the concept of a rational agent. An agent is a (software or hardware) entity that can receive signals from the environment and act upon that environment through output signals. In general an agent always tries to carry out an appropriate task. Seldom agents are considered as stand-alone systems. Their main strength can be found in the interaction with other agents in several different ways in a multiagent system. In the present work, multiagent system approach will be used to manage the control process of a single-shaft heavy-duty gas turbine in Multi Input Multi Output mode. The results will show that the multiagent approach to the control problem effectively counteracts the load reduction (including the load rejection condition) with limited overshoot in the controlled variables (as other control algorithms do) while showing good level adaptivity readiness, precision, robustness and stability.

Performance of Gas Turbine Power Plants Controlled by the Multiagent Scheme

2006 ◽  
Vol 129 (3) ◽  
pp. 738-745 ◽  
Author(s):  
Lorenzo Dambrosio ◽  
Marco Mastrovito ◽  
Sergio M. Camporeale
Keyword(s):  
Gas Turbine ◽  
Power Plants ◽  
Multiagent System ◽  
Control Algorithms ◽  
Load Reduction ◽  
Heavy Duty ◽  
Inlet Guide Vanes ◽  
Turbine Efficiency ◽  
Power Frequency ◽  
Heavy Duty Gas Turbine

In recent years the idea of artificial intelligence has been focused around the concept of rational agent. An agent is an (software or hardware) entity that can receive signals from the environment and act upon that environment through output signals, trying to carry out an appropriate task. Seldom agents are considered as stand-alone systems; on the contrary, their main strength can be found in the interaction with other agents, constituting the so-called multiagent system. In the present work, a multiagent system was chosen as a control system of a single-shaft heavy-duty gas turbine in the multi input multi output mode. The shaft rotational speed (power frequency) and stack temperature (related to the overall gas turbine efficiency) represent the controlled variables; on the other hand, the fuel mass flow (VCE) and the variable inlet guide vanes (VIGV) have been chosen as manipulating variables. The results show that the multiagent approach to the control problem effectively counteracts the load reduction (including the load rejection condition) with limited overshoot in the controlled variables (as other control algorithms do) while showing a good level of adaptivity, readiness, precision, robustness, and stability.

Structural Dynamic Analysis Approach Used in a GE Heavy Duty Gas Turbine Combustor for MTBM Enhancement

2013 ◽  
Author(s):  
Bihari lal Jangid ◽  
Michele Provenzale ◽  
Eugenio Del Puglia
Keyword(s):  
Gas Turbine ◽  
Life Prediction ◽  
Failure Modes ◽  
Dynamic Models ◽  
Structural Vibration ◽  
Response Analysis ◽  
Structural Dynamic ◽  
Combustion Dynamics ◽  
Rotor Imbalance ◽  
Heavy Duty Gas Turbine

Gas turbine combustors are subjected to vibrations due to combustion dynamics pressure and rotor imbalance force which results in forced excitation of hardware. Such structural vibration leads to high cycle fatigue and wear out of contact interfaces of combustor, thus limiting hardware durability with reduced maintenance intervals. To have more realistic hardware life prediction for both failure modes, it is vital to understand structural dynamic behavior of combustor assembly in the presence of vibratory loads. This paper describes the methodology used in developing MS5002D LHE combustor assembly linearized finite element dynamic models, the strategy to calibrate them with experimental data and the approach used to perform a forced responded analysis with harmonically varying combustion dynamics pressure and rotor imbalance force. Study shows that with adopted approach, an acceptable modal correlation between the model and the experimental test rig can be achieved. The forced dynamic response analysis results, in terms of dynamic stress distribution, interface sliding displacements and contact loads, represent the needed inputs for life prediction and for addressing the design improvements.

scholarly journals A neuro-fuzzy controller for grid-connected heavy-duty gas turbine power plants

2017 ◽  
Vol 25 ◽  
pp. 2375-2387 ◽  
Author(s):  
Mohamed Mustafa MOHAMED IQBAL ◽  
Rayappan JOSEPH XAVIER ◽  
Jagannathan KANAKARAJ
Keyword(s):  
Gas Turbine ◽  
Power Plants ◽  
Fuzzy Controller ◽  
Heavy Duty ◽  
Neuro Fuzzy ◽  
Heavy Duty Gas Turbine

Online compressor washing: A numerical survey of influencing parameters

2005 ◽  
Vol 219 (1) ◽  
pp. 13-23 ◽  
Author(s):  
F C Mund ◽  
P Pilidis
Keyword(s):  
Gas Turbine ◽  
Mass Flow ◽  
Power Plants ◽  
Fluid Distribution ◽  
Injection Velocity ◽  
Turbine Engine ◽  
Compressor Inlet ◽  
Droplet Sizes ◽  
Influencing Parameters ◽  
Heavy Duty Gas Turbine

Online compressor washing is an advanced method to recover power losses caused by compressor blade fouling without incurring the availability penalty of having to shut down the gas turbine engine. Liquid is sprayed into the compressor at full or near full load to wash off particulates accumulated on the compressor surfaces. In particular, the cleaning of the first stage is vital to reinstate the mass flow of the engine, and a uniform fluid distribution is desirable in order to cover the full annulus. To achieve this, washing systems are generally developed empirically. Owing to the variety of intake duct geometries and gas turbine engines, the design of washing systems is generally related to individual power plants. To illustrate the trends of the main influencing parameters, a numerical investigation has been undertaken, based on an application case of a washing system installed in a heavy-duty gas turbine. The parameters studied using computational fluid dynamics (CFD) were airflow reduction, injection location and direction, droplet mass, and injection velocity. The effectiveness of the washing system was evaluated from the fluid distribution at the compressor inlet plane. It has been shown that, depending on the spray nozzle location, different optimum droplet sizes and injection velocities are required. Consequently, the application of different nozzle types is advisable. The operating condition of the engine has a significant effect on the fluid distribution at the compressor inlet and therefore changes in engine mass flow have to be considered when deciding on a washing scheme.

Model order reduction of heavy duty gas turbine power plants with field test parameters

2018 ◽  
Vol 29 (2) ◽  
pp. e2703
Author(s):  
Mohamed Mustafa Mohamed Iqbal ◽  
Sankar Sarumathi ◽  
Kovilvazhkai Rajappa Jothi ◽  
Arunachalam Brindadevi
Keyword(s):  
Gas Turbine ◽  
Field Test ◽  
Model Order Reduction ◽  
Power Plants ◽  
Order Reduction ◽  
Heavy Duty ◽  
Model Order ◽  
Test Parameters ◽  
Heavy Duty Gas Turbine

An Experimental Study of Steam Injection in an Aeroderivative Gas Turbine

1997 ◽  
Author(s):  
Jean-Louis Meyer ◽  
Guy Grienche
Keyword(s):  
Experimental Study ◽  
Gas Turbine ◽  
Power Plants ◽  
Steam Injection ◽  
Second Phase ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Heavy Duty Gas Turbine ◽  
Two Phases ◽  
Injection Phase

The injection of steam into a gas turbine allows a reduction in nitrogen oxide (NOx) emissions and an increase in power and efficiency. In this way, and due especially to their lower investment costs, massive steam injection cycles could represent an interesting concept for intermediate-load power plants. When EDF and TURBOMECA jointly decided to carry out an experimental study of the consequences of steam injection into a gas turbine, two test phases were defined: firstly, a limited steam injection phase to assess the effect of steam on combustion, and secondly, a massive injection phase to assess the behavior and the performance capabilities of the machine. This second phase also aimed at identifying the critical points likely to appear when adapting a heavy-duty gas turbine to massive steam injection. This publication summarizes the main results of these two phases of tests.

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