Optimal Cycle and Turbine Design For MW-Scale Waste Heat Recovery Organic Rankine Cycle With Partial Evaporation

Abstract Efficiently converting waste heat into electricity is crucial for enhancing energy sustainability. Partial evaporation organic Rankine cycle (PE-ORC) technology with wet-to-dry expansion has demonstrated improved conversion efficiency by optimizing heat source utilization over conventional subcritical organic Rankine cycles (ORCs). However, PE-ORCs face challenges at the MW scale, such as defining optimal operating conditions and designing turbo-expanders for two-phase mixtures. This paper presents a model to determine optimal PE-ORC conditions for specific waste heat sources and outlines a methodology to design a single-stage turbine operating with wet-to-dry expansion and a dry-operated rotor. Two cycle optimizations, for high and low-temperature ranges of the heat source and based on real data, show that PE-ORC is competitive for the low-temperature range, with an increase of power production of about 25% compared to the best single-phase cycle. A radial inflow turbine design for the low-temperature cycle is presented, focusing on the design, through shape optimization, of the stator cascade, the most critical component due to the supersonic and two-phase flow. The optimum profile is then simulated together with a nonoptimized rotor via Computational Fluid Dynamic tool, confirming the possibility of designing a two-phase turbine with an efficiency higher than 85%, as assumed during the cycle design.

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Journal
Journal of Engineering for Gas Turbines and Power
Published
2025-08-28
DOI
https://doi.org/10.1115/1.4069578
Primary Topic
Catalytic Processes in Materials Science
Type
article
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article

Optimal Cycle and Turbine Design For MW-Scale Waste Heat Recovery Organic Rankine Cycle With Partial Evaporation

Saverio Ottaviano, Alessandro Romei, Andrea Spinelli, Lisa Branchini et al.
Journal of Engineering for Gas Turbines and Power
Catalytic Processes in Materials Science
article

Optimal Cycle and Turbine Design For MW-Scale Waste Heat Recovery Organic Rankine Cycle With Partial Evaporation

Saverio Ottaviano, Alessandro Romei, Andrea Spinelli, Lisa Branchini, A. Peretto, Riccardo Gioia
article en

Abstract

Abstract Efficiently converting waste heat into electricity is crucial for enhancing energy sustainability. Partial evaporation organic Rankine cycle (PE-ORC) technology with wet-to-dry expansion has demonstrated improved conversion efficiency by optimizing heat source utilization over conventional subcritical organic Rankine cycles (ORCs). However, PE-ORCs face challenges at the MW scale, such as defining optimal operating conditions and designing turbo-expanders for two-phase mixtures. This paper presents a model to determine optimal PE-ORC conditions for specific waste heat sources and outlines a methodology to design a single-stage turbine operating with wet-to-dry expansion and a dry-operated rotor. Two cycle optimizations, for high and low-temperature ranges of the heat source and based on real data, show that PE-ORC is competitive for the low-temperature range, with an increase of power production of about 25% compared to the best single-phase cycle. A radial inflow turbine design for the low-temperature cycle is presented, focusing on the design, through shape optimization, of the stator cascade, the most critical component due to the supersonic and two-phase flow. The optimum profile is then simulated together with a nonoptimized rotor via Computational Fluid Dynamic tool, confirming the possibility of designing a two-phase turbine with an efficiency higher than 85%, as assumed during the cycle design.

Journal of Engineering for Gas Turbines and PowerVol. 148(3)
University of Bologna (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 83%
Catalytic Processes in Materials Science
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Optimal Cycle and Turbine Design For MW-Scale Waste Heat Recovery Organic Rankine Cycle With Partial Evaporation — Saverio Ottaviano, Alessandro Romei, et al. · Journal of Engineering for Gas Turbines and Power (2025) | TGRS Research Map | TGRS