New efficiency charts for the optimum design of axial flow turbines for organic Rankine cycles

Lio, Luca Da; Manente, Giovanni; Lazzaretto, Andrea

doi:10.1016/j.energy.2014.09.029

Cited by 56 publications

(19 citation statements)

References 21 publications

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“…Although each working fluid would require a specific expander, pump and heat exchangers design (see, e.g., Macchi and Perdichizzi [43], Lazzaretto and Manente [44]; Da Lio et al [45]), average values of the main parameters affecting these components performance are chosen in Table 2 due to the difficulty of predicting in advance the specific type and features for each of these components, which can be rather defined in subsequent more detailed design steps. These average performance values can be considered as a homogeneous starting point in the comparison among the twenty-seven working fluids considered here featuring a quite wide spectrum of thermo-physical properties.…”

Section: The Optimization Problemsmentioning

confidence: 99%

A general framework to select working fluid and configuration of ORCs for low-to-medium temperature heat sources

2015

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Section: The Optimization Problemsmentioning

confidence: 99%

A general framework to select working fluid and configuration of ORCs for low-to-medium temperature heat sources

2015

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“…Therefore, R245fa is taken as reference working fluid for the SCORC and TCORC due to its de facto standard use in commercial ORC installations [2,24]. Furthermore, R245fa has proven itself for various expander designs, either volumetric [60,61] or turbine [62][63][64][65] technology. The selected working fluid is not necessarily optimal for the discussed cycles, but provides a good benchmark for further study and comparison.…”

Section: Working Fluid Selectionmentioning

confidence: 99%

Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery

et al. 2015

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Organic Rankine cycles (ORCs) are an established technology to convert waste heat to electricity. Although several commercial implementations exist, there is still considerable potential for thermo-economic optimization. As such, a novel framework for designing optimized ORC systems is proposed based on a multi-objective optimization scheme in combination with financial appraisal in a post-processing step. The suggested methodology provides the flexibility to quickly assess several economic scenarios and this without the need of knowing the complex design procedure. This novel way of optimizing and interpreting results is applied to a waste heat recovery case. Both the transcritical ORC and subcritical ORC are investigated and compared using the suggested optimization strategy.

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“…One-dimensional numerical tools for preliminary turbine design similar to those presented in this paper have been developed in the past [8,16,17]. However, in comparison with previous works, a much more thorough validation of the code is presented in this paper, based on the best available and documented data from literature.…”

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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New efficiency charts for the optimum design of axial flow turbines for organic Rankine cycles

Cited by 56 publications

References 21 publications

A general framework to select working fluid and configuration of ORCs for low-to-medium temperature heat sources

A general framework to select working fluid and configuration of ORCs for low-to-medium temperature heat sources

Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery

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

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