2017
DOI: 10.1016/j.enconman.2016.10.060
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Three dimensional optimization of small-scale axial turbine for low temperature heat source driven organic Rankine cycle

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Cited by 46 publications
(16 citation statements)
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“…SST k-ω model is a mixture of the Wilcox k-ω model and the standard k-ε model; Jubori et al used the SST model for the CFD study of a turbine in an organic Rankine cycle. The same was adopted by Sam et al for the improvement of flow structures within the nozzle of radial turbo expander.…”
Section: Simulation Basismentioning
confidence: 99%
See 1 more Smart Citation
“…SST k-ω model is a mixture of the Wilcox k-ω model and the standard k-ε model; Jubori et al used the SST model for the CFD study of a turbine in an organic Rankine cycle. The same was adopted by Sam et al for the improvement of flow structures within the nozzle of radial turbo expander.…”
Section: Simulation Basismentioning
confidence: 99%
“…The maximum power output and entropic efficiency were 400 kW and 88.45%, respectively, with a blade speed ratio of 0.711, which was slightly above the optimum value of 0.7. Jubori et al used the multiobjective genetic algorithm (MOGA) optimization technique to achieve optimal turbine design and maximum cycle efficiency. The CFX simulation was carried out using six suitable low‐temperature working fluids.…”
Section: Introductionmentioning
confidence: 99%
“…The results showed that the AFT was competitive to the RIT at the mass flow rate of 0.5 kg/s with the maximum ORC efficiency of 10.60% based on the RIT compared with 10.14% based on the AFT. Al Jubori et al (2017a) also developed a new methodology that integrated small-scale ORC system modelling with 1D, 3D CFD analysis and optimization of the singlestage AFT based on a multi-objective genetic algorithm (MOGA). As the working fluids, six organic fluids were investigated.…”
Section: Introductionmentioning
confidence: 99%
“…Palumbo et al [100] published the mathematical model of a radial outflow turbine. Jubori et al [101] and Lazzaretto and Manente [102] derived a model for the design of axial turbines in ORC applications. However, the aforementioned studies have not been validated against experimental data.…”
Section: Expander Selectionmentioning
confidence: 99%