2017
DOI: 10.1016/j.jclepro.2017.05.177
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New performance maps for selecting suitable small-scale turbine configuration for low-power organic Rankine cycle applications

Abstract: Link to publication on Research at Birmingham portal General rights Unless a licence is specified above, all rights (including copyright and moral rights) in this document are retained by the authors and/or the copyright holders. The express permission of the copyright holder must be obtained for any use of this material other than for purposes permitted by law. • Users may freely distribute the URL that is used to identify this publication. • Users may download and/or print one copy of the publication from th… Show more

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Cited by 15 publications
(10 citation statements)
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References 22 publications
(25 reference statements)
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“…Moreover, the evaluation of the aerodynamic characteristic and performance of the RIT turbine requires creating the blade geometry and modifying it and testing it using CFD simulation in more detail. More details about the blade generation of RIT can be found in Al Jubori et al (2017b).…”
Section: D Radial-inflow Blade Modulementioning
confidence: 99%
“…Moreover, the evaluation of the aerodynamic characteristic and performance of the RIT turbine requires creating the blade geometry and modifying it and testing it using CFD simulation in more detail. More details about the blade generation of RIT can be found in Al Jubori et al (2017b).…”
Section: D Radial-inflow Blade Modulementioning
confidence: 99%
“…The Jones data are widely used for CFD code validation since Sauret (2012) rediscovered this case and presented CFD results. Several authors (Sauret 2012, Keep et al 2017, Al Jubori et al 2017 predicted higher efficiencies of between two and four percentage points. Odabaee et al (2014) however, calculated a considerably smaller efficiency by about 5-6 percentage points whilst Gad-el Hak et al (2017) got a nearly perfect match (within 0.3 percentage points).…”
Section: Introductionmentioning
confidence: 99%
“…The mainstream methods to investigate ORC technologies include the investigation of different ORC working fluids [13,14], optimisation of system parameters [15,16], design and optimisation of components [17] such as heat exchanger and expander, and the design of system configurations. Wang et al [13] proposed a method to select working fluids and conduct parametric optimisation using a multi-objective optimisation model based on the simulated annealing algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…Particle swarm optimisation algorithm is adopted to study the key geometric parameters of the fin-and-tube evaporator including the inlet radius of tube side and a shell side, height and thickness of fins and fin spacing. Ayad M. et al [17] used small-scale axial, radial-inflow and radial outflow turbines on a small scale ORC system and compared their performances under their single and two stage configurations based on three-dimensional CFD analysis. Results indicated the two-stage axial and radial-outflow configurations can achieve a considerably better performance [17].…”
Section: Introductionmentioning
confidence: 99%