Multidisciplinary Optimization of a Radial Compressor for Microgas Turbine Applications

Verstraete, Tom; Alsalihi, Z.; Braembussche, R. A. Van den

doi:10.1115/1.3144162

Cited by 100 publications

(41 citation statements)

References 6 publications

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“…2 shows that the heat rate conducted through the shaft represents only 4% of the total power output, despite the relatively short shaft. This confirms that at high rotational speeds the effects of heat transfer on compressor performance are relatively small [24,39,40]. The compressor heating through the housing is of the same magnitude which is partially due to the high heat losses of the combustion chamber (302 W) and partially due to the higher conductivity of stainless steel compared to Inconel.…”

Section: Baseline Configurationsupporting

confidence: 78%

Impact of heat transfer on the performance of micro gas turbines

Verstraete

Bowkett

2015

Applied Energy

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Section: Baseline Configurationsupporting

confidence: 78%

Impact of heat transfer on the performance of micro gas turbines

Verstraete

Bowkett

2015

Applied Energy

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“…CFD-based shape opti mization methods are, in many cases, supported by the application of stochastic methods, such as evolutionary algo rithms [9]. These techniques usually search for the optimal shape by resorting to genetic algorithms (GA) coupled to sur rogate models to reduce the overall computational cost of the optimization procedure [10,11]. Such class of methods has a series of advantages, well summarized as follows: (i) the capability of treating nonsmooth and oscillating fitness func tions, (ii) the ability of exploring a wide range of possible configurations, (iii) the simultaneous identification of a set of acceptable solutions, and (iv) the extension to multi-objective and multipoint optimization problems in a relatively straight forward manner [12][13][14][15].…”

Section: A D Jo In T M E Th O D Fo R S H Ap E O P Tim Iz a Tio N In Rmentioning

confidence: 99%

Adjoint Method for Shape Optimization in Real-Gas Flow Applications

Pini

Persico

Pasquale

et al. 2014

Journal of Engineering for Gas Turbines and Power

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An adjoint-based shape optimization approach for supersonic turbine cascades is proposed\ud for application to organic Rankine cycle (ORC) turbines. The algorithm is based\ud on an inviscid discrete adjoint method and encompasses a fast look-up table (LuT)\ud approach to accurately deal with real-gas flows. The turbine geometry is defined by\ud adopting state-of-the-art parameterization techniques (NURBS), enabling to handle both\ud global and local control of the shape of interest. A preconditioned steepest descent\ud method has been chosen as gradient-based optimization algorithm to efficiently search\ud for the nearest minimum. The potential of the optimization approach is first verified by\ud application on the redesign of an existing converging–diverging turbine nozzle operating\ud in thermodynamic regions characterized by relevant real-gas effects. A significant\ud efficiency improvement and a more uniform flow at the blade outlet section are achieved,\ud with expected beneficial effects on the aerodynamics of the downstream rotor. The optimized\ud configuration is also assessed by means of high-fidelity turbulent simulations,\ud which point out the capability of the present inviscid approach in optimizing supersonic\ud turbine cascades with very limited computational burdens. Finally, the newly developed\ud real-gas adjoint method is compared against adjoints based on ideal equations of state\ud on the same design problem. Results show that the performance gain obtained by a fully\ud real-gas optimization strategy is by far higher than that achieved with simplified\ud approaches in case of ORC turbines. This proves the relevance of including accurate\ud thermodynamic models in all steps of ORC turbine desig

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“…Verstraete et al [9] conducted a multidisciplinary optimization for a micro gas turbine compressor in order to maximize the efficiency while keeping maximum centrifugal stress at the specified level. Mueller et al [10] performed a multidisciplinary optimization for a turbocharger radial turbine.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Design and Optimization Approach for Radial Inflow Turbines—Part II: Multidisciplinary Optimization Design

Deng

Shao²,

et al. 2018

Applied Sciences

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This paper proposes an integrated design and optimization approach for radial inflow turbines consisting of an automated preliminary design module and a flexible three-dimensional multidisciplinary optimization module. The latter was constructed by an evolution algorithm, a genetic algorithm-assisted self-learning artificial neural network and a dynamic sampling database. The 3-D multidisciplinary optimization approach was validated by the original T-100 turbine and the T-100re turbine obtained from the automated preliminary design approach, for maximizing the total-to-static efficiency and minimizing the rotor weight while keeping the mass flow rate constant and stress limitation satisfied. The validation results indicate that the total-to-static efficiency is 89.6%, increased by 1.3%, and the rotor weight is reduced by 0.14 kg (14.6%) based on the T-100re turbine, while the efficiency is 88.2%, increased by 2.2% and the weight is reduced by 0.49 kg (37.4%) based on the original T-100 turbine. Moreover, the T-100re turbine shows better performance at the preliminary design stage and conserves this advantage to the end, though both the aerodynamic performance of the T-100 and the T-100re turbine are improved after 3-D optimization. At the same time, it is implied that the preliminary design plays an essential role in the radial inflow turbine design process, and it is hard for only 3-D optimization to get a further performance improvement.

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Multidisciplinary Optimization of a Radial Compressor for Microgas Turbine Applications

Cited by 100 publications

References 6 publications

Impact of heat transfer on the performance of micro gas turbines

Impact of heat transfer on the performance of micro gas turbines

Adjoint Method for Shape Optimization in Real-Gas Flow Applications

An Integrated Design and Optimization Approach for Radial Inflow Turbines—Part II: Multidisciplinary Optimization Design

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