Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications

Tsoutsanis, Elias; Meskin, Nader

doi:10.1016/j.applthermaleng.2018.09.031

Cited by 37 publications

(35 citation statements)

References 57 publications

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“…The stabilization of the flame has been attained in most gas turbine combustors using swirling flows. The reacting swirling flows in a combustor involves a complex interaction of the turbulent flow field with chemical reactions [2]. Due to financial requirements and technical challenges in the experiments, numerical investigation on this complex interaction has caught the attention of researchers.…”

Section: Extended Abstractmentioning

confidence: 99%

LES-CMC Simulations of Strong Swirling Confined Flames in a Model Gas Turbine Combustor

Gaikwad¹,

Sreedhara²

2020

World Congress on Momentum, Heat and Mass Transfer

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Section: Extended Abstractmentioning

confidence: 99%

LES-CMC Simulations of Strong Swirling Confined Flames in a Model Gas Turbine Combustor

Gaikwad¹,

Sreedhara²

2020

World Congress on Momentum, Heat and Mass Transfer

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“…Recently, Tsoutsanis and Meskin [ 23 ] have developed a dynamic model for hybrid gas turbine and wind turbine system in order to design a controller and optimize the operation in hybrid mode. Similarly, Park [ 24 ] has also developed a hybrid dynamic model of a distributed energy system having small gas turbine, diesel engine, fuel cell, solar source and synchronous machine.…”

Section: Introductionmentioning

confidence: 99%

Transient Behavior in Variable Geometry Industrial Gas Turbines: A Comprehensive Overview of Pertinent Modeling Techniques

Hashmi

Lemma

Ahsan

et al. 2021

Entropy

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Generally, industrial gas turbines (IGT) face transient behavior during start-up, load change, shutdown and variations in ambient conditions. These transient conditions shift engine thermal equilibrium from one steady state to another steady state. In turn, various aero-thermal and mechanical stresses are developed that are adverse for engine’s reliability, availability, and overall health. The transient behavior needs to be accurately predicted since it is highly related to low cycle fatigue and early failures, especially in the hot regions of the gas turbine. In the present paper, several critical aspects related to transient behavior and its modeling are reviewed and studied from the point of view of identifying potential research gaps within the context of fault detection and diagnostics (FDD) under dynamic conditions. Among the considered topics are, (i) general transient regimes and pertinent model formulation techniques, (ii) control mechanism for part-load operation, (iii) developing a database of variable geometry inlet guide vanes (VIGVs) and variable bleed valves (VBVs) schedules along with selection framework, and (iv) data compilation of shaft’s polar moment of inertia for different types of engine’s configurations. This comprehensive literature document, considering all the aspects of transient behavior and its associated modeling techniques will serve as an anchor point for the future researchers, gas turbine operators and design engineers for effective prognostics, FDD and predictive condition monitoring for variable geometry IGT.

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“…This aspect is emphasized in several research works developed in the past including those (i) highlighting the benefits of dynamic simulation as a cost-efficient tool for improving the flexibility of dispatchable power generation in transient operation [16], and (ii) seeking to enhance the equipment behavior simulation and to improve operators training practices [17]. Other key related works include those dealing with the dynamic modeling of gas turbines based on grey [18] and black [19] box models, condition monitoring data [20], constant mass flow and inter-component volume methods [21], and physical phenomena associated with combustion processes and heat exchanging prevailing mechanisms [22].…”

Section: Introductionmentioning

confidence: 99%

On dynamic modeling of industrial gas turbines based on low calorific value (LCV) gaseous fuels

Celis

Pinto

Souza

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Global energy demand is expected to increase in the following two decades. Operational flexibility of power generation systems is a key aspect when assessing potential solutions seeking to help meeting this expected increase in global energy demand. In low calorific value (LCV) gaseous fuels-fired power plants, it is paramount to consider the effects of the employed LCV/lean-gases-based fuels on the associated gas turbine systems and surrounding equipment. Moreover, because of the industrial processes usually occurring upstream these power plants, the fuel supply conditions change significantly during their normal operation. Gas turbines based on LCV gaseous fuels thus present a quite distinct engine behavior, and their modeling is therefore challenging. The dynamic modeling of such engines is the main focus of this work. Accordingly, the gas turbine dynamic model developed here is initially discussed, along with topics, such as gas turbine mass flow rates, cooling systems effectiveness and gas turbine component characteristics, relevant to the dynamic modeling of LCV fuels-based power plants. The use of the developed model for the simulation of an actual combined cycle power plant with cogeneration based on a LCV fuel is next highlighted. The main results show that overall acceptable agreements between computed parameters and actual power plant operating data are obtained. The corresponding average discrepancies range from 1 to 6%. In spite of the large number of factors directly influencing the numerical results obtained from the real-time simulations carried out, the power plant operating data trends are in general well reproduced by the computed results. The obtained results highlight in particular both the model applicability to operating scenarios presenting significant gradients in gas turbine characteristic parameters, and the need of including in the modeling key processes present in power plants actual operation. Keywords Power plants • Gas turbines • Low calorific value gaseous fuels • Dynamic modeling List of symbols Variables A Area (m 2) a Characteristic parameter, constant (−) b Characteristic parameter, constant (−) Cp Specific heat at constant pressure (kJ/kg K) c Characteristic parameter, constant (−) h Specific enthalpy (kJ/kg) ℏ Heat transfer (film) coefficient (kW/m 2 K) I Inertia moment (kg m 2) k Characteristic parameter, constant (−) M Mass (kg) m Mass flow rate (kg/s) N Rotational speed (rad/s) N * Non-dimensional speed (−) PR Pressure ratio (−) p Pressure (kPa) Q Heat rate (kW) T Temperature (K)

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Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications

Cited by 37 publications

References 57 publications

LES-CMC Simulations of Strong Swirling Confined Flames in a Model Gas Turbine Combustor

LES-CMC Simulations of Strong Swirling Confined Flames in a Model Gas Turbine Combustor

Transient Behavior in Variable Geometry Industrial Gas Turbines: A Comprehensive Overview of Pertinent Modeling Techniques

On dynamic modeling of industrial gas turbines based on low calorific value (LCV) gaseous fuels

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