WebEngine: A Web-Based Gas Turbine Performance Simulation Tool

Apostolidis, Asteris; Sampath, Suresh; Laskaridis, Panagiotis; Singh, Riti

doi:10.1115/gt2013-95296

Cited by 6 publications

(5 citation statements)

References 0 publications

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“…The turboshaft engine map is designed by the FUTPRINT50 consortium with Turbomatch [11]. The methodology for power requirements-based engine sizing in combination with the aircraft design tool is described in Brenner et al [12].…”

Section: Powertrain Architecture and Energy Networkmentioning

confidence: 99%

Preliminary hybrid-electric aircraft design with advancements on the open-source tool SUAVE

Mangold¹,

Eisenhut²,

Brenner³

et al. 2023

J. Phys.: Conf. Ser.

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The large variety of possible propulsion architectures for environmentally friendly and sustainable aircraft concepts create opportunities for the overall aircraft design. In particular, hybrid-electric aircraft have an increased number of additional components that must be implemented in the aircraft design tool. Primary and secondary energy sources can be used to achieve the necessary reduction in emissions. The preliminary aircraft design tool SUAVE offers the basic setup necessary to integrate the electrification of the propulsion system into the aircraft design. For this purpose, SUAVE has been extended to enable an iterative sizing loop for hybrid-electric aircraft. Hence, many propulsion architectures are easily adaptable. Additional components can be included and their interactions are considered. Furthermore, the fidelity levels of the models are modifiable. Moreover, the top-level aircraft requirements are transformed into a sizing chart to calculate the necessary power and wing loading. Thereby, a reasonable hybridization factor of installed power can be identified. This definition of hybridization implies a specific energy management strategy. As a result, hybridization and the energy management strategy are directly coupled and have to be considered together. Finally, in the postprocessing, the raw data is processed and can be evaluated with figures of merit. This procedure converts the results into a descriptive value and facilitates the comparison to other configurations. The figures of merit include evaluations for emissions, operational aspects and development costs and effort.

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Section: Powertrain Architecture and Energy Networkmentioning

confidence: 99%

Preliminary hybrid-electric aircraft design with advancements on the open-source tool SUAVE

Mangold¹,

Eisenhut²,

Brenner³

et al. 2023

J. Phys.: Conf. Ser.

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“…The second group includes specialized modelling systems -software packages (SP). In particular, in process of design and development of a GTE, the GASTURB [8,9], GECAT [10], GSP [11], GRAD [12], ASTRA [13], and WebEngine [14] software packages are used. These complexes are characterized by great functionality: development of different static and dynamic MM of GTE configurations, investigation of throttle, climatic and external characteristics, and identification of MMs on bench test results.…”

Section: Overview Of Literature Datamentioning

confidence: 99%

Identification of a mathematical model for a single-shaft power-generating GTE

Tarelin¹,

Lyutikov²,

Annopolska³

2021

energetika

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The design and development processes of gas turbine engines rely on the usage of mathematical models representing the physics of engine functioning processes. One way of increasing the validity of a mathematical model is its identification based on engine test results. The identification of mathematical models of modern power-generating gas turbine engines (GTEs) presents a demanding and time-consuming task due to the necessity to identify the main controlled engine parameters determined in the course of experimental studies depending on a large number of the parameters that are not controlled during the experiment. In this regard the actual direction of reducing the labour intensity of the process of mathematical model identification is using identification program complexes. The object of the study was to solve the problem of structural-parametrical identification of the power-generating GTE functioning model detailing the turbine flow path calculations to the level of blade rows in order to obtain the GTE mathematical model that describes the characteristics of a real engine with given accuracy. To achieve the objective, the following problems were solved: variable parameters, controlled parameters and characteristics, ranges of their variations were selected from the total number of the mathematical model input data, the objective functions were defined; the task of the parametric identification according to the results of bench tests through GTE operating modes was performed; analytical approximating dependences for correcting coefficients (variable parameters) were obtained; structural-parametric identification of the mathematical model was performed. The novelty of the obtained results is the identification of the mathematical model of the nonlinear component GTE of the second level performed without model linearization (without its level lowering) by using the Optimum software packages. The methodological approach for the parametric identification of the mathematical model is proposed. This approach allows reducing the number of variable parameters under the modes lower that the maximum. It shows that the identified model allows obtaining the prediction results of the GTE parameters and characteristics through operating modes with a deviation of no more than 1.4% from the experimental data and, therefore, it will allow reduction of terms and an increase in the quality of power unit development.

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“…The first one includes the CAE systems developed on the basis of universal software tools, such as Dymola that is developed using the Modelica programming language [1]- [3], Simulink [3]- [7] and TRANSEO [8] that are integrated into the MATLAB environment, PROOSIS that is developed using the EcosimPro [9] and others. The second one includes the specialized software, such as DCOGEN [10], DVIGwT [11], [12], EngineSim [13], GasTurb [6], [7], [14], [15], Graphical Engine Cycle Analysis Tool (GECAT) [16], Gas turbine Simulation Program (GSP) [17], Numerical Propulsion System Simulation (NPSS) [3], [18], TERA [19], Uni_TTF [20], WebEngine [21], ASTRA [22]- [24] and others. The second group includes the software, developed at the engine design departments (e.g.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of the Computer-Aided Systems of Gas Turbine Engine Designing

Кузьмичев¹,

Ostapyuk²,

Tkachenko³

et al. 2017

IJMERR

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The paper reviews the present computer-aided systems (CAE-systems) of conceptual designing and engineering analysis of the gas turbine engines (GTE) and power-plants (GTPP). Each of the examined system is briefly described and the comparative analysis of the following systems: ASTRA, DVIGwT, EngineSim, GasTurb, GSP and Uni_TTF is described. Trends of the development of CAE-systems of gas turbine engines are also indicated.

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WebEngine: A Web-Based Gas Turbine Performance Simulation Tool

Cited by 6 publications

References 0 publications

Preliminary hybrid-electric aircraft design with advancements on the open-source tool SUAVE

Preliminary hybrid-electric aircraft design with advancements on the open-source tool SUAVE

Identification of a mathematical model for a single-shaft power-generating GTE

Comparative Analysis of the Computer-Aided Systems of Gas Turbine Engine Designing

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