Significance of loss correlations in performance prediction of small scale, highly loaded turbine stages working in Organic Rankine Cycles

Klonowicz, Piotr; Heberle, Florian; Preißinger, Markus; Brüggemann, Dieter

doi:10.1016/j.energy.2014.05.040

Cited by 53 publications

(23 citation statements)

References 11 publications

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“…Sprawna i poprawnie pracująca turbina dla układu ORC wymaga odpowiedniej metody projektowej. Składa się na nią w dużej mierze poprawna ewaluacja strat, które są bezpośrednio związane ze sprawnością maszyny [2][3][4][5]. Skuteczną metodą weryfikacji projektu układu przepływowego, oprócz drogich metod doświadczalnych, są obliczenia CFD.…”

Section: Wprowadzenieunclassified

Optimization of blade profiles of axial turbine working with MDM

Witanowski¹,

Klonowicz²,

Lampart³

2015

Mechanik

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Section: Wprowadzenieunclassified

Optimization of blade profiles of axial turbine working with MDM

Witanowski¹,

Klonowicz²,

Lampart³

2015

Mechanik

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“…Next to volumetric expanders, turbomachines are commonly applied in medium-to large-scale and frequently discussed for smallscale applications. Brasz et al [34,35] investigated radial turbines, while Klonowicz et al [36,37] studied hermetically sealed turbo-generator-units. It is obvious from these results that the approach of modular ORC units which can serve a broad range of heat source temperature and thermal capacity is highly relevant for market penetration of ORC in the field of industrial waste heat recovery.…”

Section: Organic Raninke Cyclementioning

confidence: 99%

“…Next to volumetric expanders, turbomachines are commonly applied in medium-to large-scale and frequently discussed for small-scale applications. Brasz et al [34,35] investigated radial turbines, while Klonowicz et al [36,37] studied hermetically sealed turbo-generator-units. To increase the efficiency of ORC units compared to the basic configuration, approaches with and without additional components have to be distinguished.…”

Section: Organic Raninke Cyclementioning

confidence: 99%

Thermoeconomic Evaluation of Modular Organic Rankine Cycles for Waste Heat Recovery over a Broad Range of Heat Source Temperatures and Capacities

Preißinger

Brüggemann

2017

Energies

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Industrial waste heat recovery by means of an Organic Rankine Cycle (ORC) can contribute to the reduction of CO 2 emissions from industries. Before market penetration, high efficiency modular concepts have to be developed to achieve appropriate economic value for industrial decision makers. This paper aims to investigate modularly designed ORC systems from a thermoeconomic point of view. The main goal is a recommendation for a suitable chemical class of working fluids, preferable ORC design and a range of heat source temperatures and thermal capacities in which modular ORCs can be economically feasible. For this purpose, a thermoeconomic model has been developed which is based on size and complexity parameters of the ORC components. Special emphasis has been laid on the turbine model. The paper reveals that alkylbenzenes lead to higher exergetic efficiencies compared to alkanes and siloxanes. However, based on the thermoeconomic model, the payback periods of the chemical classes are almost identical. With the ORC design, the developed model and the boundary conditions of this study, hexamethyldisiloxane is a suitable working fluid and leads to a payback period of less than 5 years for a heat source temperature of 400 to 600 • C and a mass flow rate of the gaseous waste heat stream of more than 4 kg/s.

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“…Estimation of losses and efficiency. The method by Craig and Cox [29] is used since it is considered by a number of references as one of the most complete and reliable [15,30,31]. Shock losses in a blade row are computed according to Kacker and Ockapuu [32].…”

Section: Modeling Approachmentioning

confidence: 99%

“…Uusitalo [14] has recommended the use of axial stages for high values of turbine specific speed. Klonowicz et al [15] have highlighted that axial-flow turbine configurations usually have better structural properties than their radial counterparts because, in the latter, the centrifugal force acts perpendicularly to the blades. Several methods are available for axial-flow turbine analysis, according to the design phase and objective of the study.…”

Section: Introductionmentioning

confidence: 99%

Combined Turbine and Cycle Optimization for Organic Rankine Cycle Power Systems—Part A: Turbine Model

et al. 2016

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Axial-flow turbines represent a well-established technology for a wide variety of power generation systems. Compactness, flexibility, reliability and high efficiency have been key factors for the extensive use of axial turbines in conventional power plants and, in the last decades, in organic Rankine cycle power systems. In this two-part paper, an overall cycle model and a model of an axial turbine were combined in order to provide a comprehensive preliminary design of the organic Rankine cycle unit, taking into account both cycle and turbine optimal designs. Part A presents the preliminary turbine design model, the details of the validation and a sensitivity analysis on the main parameters, in order to minimize the number of decision variables in the subsequent turbine design optimization. Part B analyzes the application of the combined turbine and cycle designs on a selected case study, which was performed in order to show the advantages of the adopted methodology. Part A presents a one-dimensional turbine model and the results of the validation using two experimental test cases from literature. The first case is a subsonic turbine operated with air and investigated at the University of Hannover. The second case is a small, supersonic turbine operated with an organic fluid and investigated by Verneau. In the first case, the results of the turbine model are also compared to those obtained using computational fluid dynamics simulations. The results of the validation suggest that the model can predict values of efficiency within ± 1.3%-points, which is in agreement with the reliability of classic turbine loss models such as the Craig and Cox correlations used in the present study. Values similar to computational fluid dynamics simulations at the midspan were obtained in the first case of validation. Discrepancy below 12% was obtained in the estimation of the flow velocities and turbine geometry. The values are considered to be within a reasonable range for a preliminary design tool. The sensitivity analysis on the turbine model suggests that two of twelve decision variables of the model can be disregarded, thus further reducing the computational requirements of the optimization.

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Significance of loss correlations in performance prediction of small scale, highly loaded turbine stages working in Organic Rankine Cycles

Cited by 53 publications

References 11 publications

Optimization of blade profiles of axial turbine working with MDM

Optimization of blade profiles of axial turbine working with MDM

Thermoeconomic Evaluation of Modular Organic Rankine Cycles for Waste Heat Recovery over a Broad Range of Heat Source Temperatures and Capacities

Combined Turbine and Cycle Optimization for Organic Rankine Cycle Power Systems—Part A: Turbine Model

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