Mixture-based loss evaluation and critical superheat determination in transonic steam flows for flexible turbine operation: An experimentally validated OpenFOAM approach

Deep peak regulation and flexible operation of steam turbines are imperative for integrating renewable energy into modern power grids. However, operation under low-load conditions frequently drives the last-stage expansion into the unstable non-equilibrium condensation zone, risking significant efficiency penalties and blade erosion. Current loss evaluation methods often rely on simplified single-phase gas assumptions, failing to accurately quantify the thermodynamic irreversibility inherent in these transient two-phase flows. To address this, this study develops a thermodynamically consistent two-phase framework implemented in OpenFOAM. The solver couples non-equilibrium nucleation and droplet growth kinetics and is validated against IWSEP nozzle and transonic stator cascade experiments. Statistical analysis confirms high model fidelity, achieving a coefficient of determination ($R^2$) exceeding 0.98 for static pressure distributions across all configurations and wetness evolution in nozzle benchmarks. Using a reproducible inlet-temperature sweep procedure, a configuration- and operating-condition-specific critical superheat boundary is identified, separating dry expansion from condensation-prone regimes for the examined cases. The results show that increasing inlet superheat shifts the Wilson point downstream, thereby mitigating condensation-induced pressure variations. Furthermore, a mixture-based loss evaluation method is introduced to correct the bias in traditional assessments. Comparative analysis demonstrates that conventional gas-phase formulas systematically overestimate entropy generation by neglecting latent-heat effects, whereas the proposed mixture-based approach remains consistent with the two-phase thermodynamic state. Overall, the proposed framework enables case-specific condensation-risk screening for flexible-operation planning and provides a refined, thermodynamically consistent basis for aerodynamic loss assessment of wet-steam components. • Developed an OpenFOAM NEC solver coupling nucleation and droplet growth. • Validated against IWSEP nozzle and transonic stator-cascade experiments. • Reproducible workflow finds case-specific superheat boundary for dry/condensing. • Quantified how inlet superheat shifts loss coefficients and efficiency trends. • Proposed mixture-consistent loss metrics to avoid gas-only entropy overestimation.

Authors

Institutions

Publication Details

Journal
Energy
Published
2026-03-21
DOI
https://doi.org/10.1016/j.energy.2026.140804
Primary Topic
Combustion and flame dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mixture-based loss evaluation and critical superheat determination in transonic steam flows for flexible turbine operation: An experimentally validated OpenFOAM approach

Sławomir Dykas, Mirosław Majkut, Zunlong JIN, Qianhao Zhang et al.
Energy
Combustion and flame dynamics
article

Mixture-based loss evaluation and critical superheat determination in transonic steam flows for flexible turbine operation: An experimentally validated OpenFOAM approach

Sławomir Dykas, Mirosław Majkut, Zunlong JIN, Qianhao Zhang, Guojie Zhang, Krystian Smolka, Yifan Yang
article en

Abstract

Deep peak regulation and flexible operation of steam turbines are imperative for integrating renewable energy into modern power grids. However, operation under low-load conditions frequently drives the last-stage expansion into the unstable non-equilibrium condensation zone, risking significant efficiency penalties and blade erosion. Current loss evaluation methods often rely on simplified single-phase gas assumptions, failing to accurately quantify the thermodynamic irreversibility inherent in these transient two-phase flows. To address this, this study develops a thermodynamically consistent two-phase framework implemented in OpenFOAM. The solver couples non-equilibrium nucleation and droplet growth kinetics and is validated against IWSEP nozzle and transonic stator cascade experiments. Statistical analysis confirms high model fidelity, achieving a coefficient of determination ($R^2$) exceeding 0.98 for static pressure distributions across all configurations and wetness evolution in nozzle benchmarks. Using a reproducible inlet-temperature sweep procedure, a configuration- and operating-condition-specific critical superheat boundary is identified, separating dry expansion from condensation-prone regimes for the examined cases. The results show that increasing inlet superheat shifts the Wilson point downstream, thereby mitigating condensation-induced pressure variations. Furthermore, a mixture-based loss evaluation method is introduced to correct the bias in traditional assessments. Comparative analysis demonstrates that conventional gas-phase formulas systematically overestimate entropy generation by neglecting latent-heat effects, whereas the proposed mixture-based approach remains consistent with the two-phase thermodynamic state. Overall, the proposed framework enables case-specific condensation-risk screening for flexible-operation planning and provides a refined, thermodynamically consistent basis for aerodynamic loss assessment of wet-steam components. • Developed an OpenFOAM NEC solver coupling nucleation and droplet growth. • Validated against IWSEP nozzle and transonic stator-cascade experiments. • Reproducible workflow finds case-specific superheat boundary for dry/condensing. • Quantified how inlet superheat shifts loss coefficients and efficiency trends. • Proposed mixture-consistent loss metrics to avoid gas-only entropy overestimation.

EnergyVol. 351
Silesian University of Technology (PL), Zhengzhou University (CN)
Affordable and clean energy
Openalex Percentile: Top 11%
Combustion and flame dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.