Optimizing the flexibility of the steam Rankine cycle of an SMR for load following and cogeneration by combining a double partial arc admission for the turbine

In the context of the energy sector decarbonization, the interactions between variable renewable energies and Nuclear Power Plants (NPPs) productions are becoming increasingly important. In this regard, the main objective of this work is to improve the flexibility performance of the steam Rankine cycle coupled to a small modular reactor (SMR). To this end, partial arc admission (PAA) is employed in the turbine, which is an approach in contrast to the conventional Full Arc Admission (FAA) method in NPPs. The first study maximized efficiency in electrical grid load-following (LF) scenarios. With a dual PAA/PAA applied respectively to high/low-pressure turbine groups, efficiency gains from 1 to 2 points in the 20%–80% load range, are achieved. In a second study, a 24-hour scenario mixing pure electricity production and cogeneration was defined, mimicking possible trends linked to the paradigm shift in the energy sector, for methodological purposes. Based on a same thermodynamic incentive to produce heat and electricity, the results showed that an optimum was established for a cogeneration capacity at 41% of Steam Generator (SG) power, with the remaining thermal power producing electricity. This case conveniently demonstrates the flexibility of the system to supply substantial quantities of heat at 150 °C, with a 1-point gain for electricity efficiency compared to FAA as well as the achievement of SG and cogeneration combined control. Adapting the developed multi-case, multi-objective methodology to other energy conversion cycles is a key direction for next R&D, along with exploring other scenarios assigning different values to heat and electricity production. • A Rankine cycle with Partial Arc Admissions (PAAs) in the turbine is modeled using Modelica. • Dual PAAs are optimized for the combined control of Steam Generation and cogeneration operations. • Efficiency gain from 1. to 2. points is obtained in the 20%–80% load range. • Cogeneration of 41% of SG power shows a 1. point gain in electrical efficiency. • The performance of one of the designs proves to be resilient to flexibility scenarios.

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Publication Details

Journal
Energy
Published
2025-10-31
DOI
https://doi.org/10.1016/j.energy.2025.139068
Citations
1
Primary Topic
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Type
article
Field-Weighted Citation Impact
0.71
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article

Optimizing the flexibility of the steam Rankine cycle of an SMR for load following and cogeneration by combining a double partial arc admission for the turbine

Pascal Stouffs, Catherine Azzaro‐Pantel, Guilherme Vescovi, David Haubensack et al.
1 citations
Energy
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
0.71
article

Optimizing the flexibility of the steam Rankine cycle of an SMR for load following and cogeneration by combining a double partial arc admission for the turbine

Pascal Stouffs, Catherine Azzaro‐Pantel, Guilherme Vescovi, David Haubensack, N. Alpy
article en
1 citations

Abstract

In the context of the energy sector decarbonization, the interactions between variable renewable energies and Nuclear Power Plants (NPPs) productions are becoming increasingly important. In this regard, the main objective of this work is to improve the flexibility performance of the steam Rankine cycle coupled to a small modular reactor (SMR). To this end, partial arc admission (PAA) is employed in the turbine, which is an approach in contrast to the conventional Full Arc Admission (FAA) method in NPPs. The first study maximized efficiency in electrical grid load-following (LF) scenarios. With a dual PAA/PAA applied respectively to high/low-pressure turbine groups, efficiency gains from 1 to 2 points in the 20%–80% load range, are achieved. In a second study, a 24-hour scenario mixing pure electricity production and cogeneration was defined, mimicking possible trends linked to the paradigm shift in the energy sector, for methodological purposes. Based on a same thermodynamic incentive to produce heat and electricity, the results showed that an optimum was established for a cogeneration capacity at 41% of Steam Generator (SG) power, with the remaining thermal power producing electricity. This case conveniently demonstrates the flexibility of the system to supply substantial quantities of heat at 150 °C, with a 1-point gain for electricity efficiency compared to FAA as well as the achievement of SG and cogeneration combined control. Adapting the developed multi-case, multi-objective methodology to other energy conversion cycles is a key direction for next R&D, along with exploring other scenarios assigning different values to heat and electricity production. • A Rankine cycle with Partial Arc Admissions (PAAs) in the turbine is modeled using Modelica. • Dual PAAs are optimized for the combined control of Steam Generation and cogeneration operations. • Efficiency gain from 1. to 2. points is obtained in the 20%–80% load range. • Cogeneration of 41% of SG power shows a 1. point gain in electrical efficiency. • The performance of one of the designs proves to be resilient to flexibility scenarios.

EnergyVol. 339
Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Université de Pau et des Pays de l'Adour (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Institut National Polytechnique de Toulouse (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Laboratoire de Génie Chimique (FR), CEA Cadarache (FR)
Openalex Percentile: Top 26%
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
0.71
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