2020
DOI: 10.3390/app10155069
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Mean-Line Design of a Supercritical CO2 Micro Axial Turbine

Abstract: Supercritical carbon dioxide (sCO2) power cycles are promising candidates for concentrated-solar power and waste-heat recovery applications, having advantages of compact turbomachinery and high cycle efficiencies at heat-source temperature in the range of 400 to 800 ∘C. However, for distributed-scale systems (0.1–1.0 MW) the choice of turbomachinery type is unclear. Radial turbines are known to be an effective machine for micro-scale applications. Alternatively, feasible single-stage axial turbine designs coul… Show more

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Cited by 20 publications
(18 citation statements)
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“…The efficiency of the partial intake turbine is reduced by 15% compared to that under full admission. Salah et al developed and improved a preliminary design tool which is able to calculate passage losses by using loss models, in order to design a 100kW S-CO2 axial turbine [51]. A feasible single stage design can be achieved while the turbine has a high load coefficient and a low flow coefficient.…”
Section: S-co2 Power Cyclementioning
confidence: 99%
“…The efficiency of the partial intake turbine is reduced by 15% compared to that under full admission. Salah et al developed and improved a preliminary design tool which is able to calculate passage losses by using loss models, in order to design a 100kW S-CO2 axial turbine [51]. A feasible single stage design can be achieved while the turbine has a high load coefficient and a low flow coefficient.…”
Section: S-co2 Power Cyclementioning
confidence: 99%
“…An in-house mean line design tool is used to develop the turbine flow path [24,25]. Within the tool, the steady-state mass, energy, and momentum equations are solved to obtain the blade geometry, velocity triangles, and thermodynamic properties for all turbine stages.…”
Section: Meanline Design Modelmentioning
confidence: 99%
“…The blade shape optimisation process is reported in Figure 1 and is constructed from a numerical model composed of an aerodynamic solver (CFD), a mechanical solver (FEA), a design of experiments (DoE) algorithm, a surrogate model, and an optimisation solver. The baseline blade geometry is created using a mean-line design model [27] that is developed for the SCARABEUS project [28] to design a large-scale blended sCO2 turbine using Aungier [29] loss model. Geometrical parameters including the number of stages, hub diameter, blade height, blade inlet/outlet angles, stagger angle, chord length, number of blades and trailing edge (TE) thickness are used to create the 3D blade along with assumptions defining the inlet/outlet wedge angles, leading edge (LE) thickness and control points defining thickness distribution of the aerofoil.…”
Section: Numerical Modelmentioning
confidence: 99%