Dimensionless modeling of the electro‐fluid interactions in <scp>DBD</scp> plasma reactors for <scp> CO <sub>2</sub> </scp> splitting

Abstract Non‐thermal dielectric barrier discharge (DBD) reactors are intensively studied for CO 2 splitting, yet the absence of proper scaling approaches continues to hinder predictive design and scale‐up. Here, we establish a unified electro‐chemo‐fluid framework that rationalizes reactor behavior across geometries, discharge lengths, and flow rates by integrating Lissajous diagnostics, performance analysis, and dimensionless modeling. Electrical observables scale with plasma power and reactor architecture, whereas CO 2 conversion and energy efficiency are dictated by gas throughput relative to the specific energy input (SEI), demonstrating that performance cannot be inferred from the discharge state alone. Instead, it emerges from the coupled action of electro‐fluid forcing and chemo‐fluid transport‐reaction processes. This interplay is captured through Masuda, Reynolds, and Damköhler numbers, which collapse both present and literature data onto a single monotonic trend. The proposed framework enables predictive comparison, design, and scale‐up of DBD reactors beyond empirical metrics.

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Publication Details

Journal
AIChE Journal
Published
2026-06-25
DOI
https://doi.org/10.1002/aic.70532
Primary Topic
Plasma Applications and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Dimensionless modeling of the electro‐fluid interactions in DBD plasma reactors for CO 2 splitting

Nicola Lisi, Umberto Pasqual Laverdura, Fausto Gallucci, Giovanni Palma et al.
AIChE Journal
Plasma Applications and Diagnostics
article

Dimensionless modeling of the electro‐fluid interactions in DBD plasma reactors for CO 2 splitting

Nicola Lisi, Umberto Pasqual Laverdura, Fausto Gallucci, Giovanni Palma, Gabriele Centi
article en

Abstract

Abstract Non‐thermal dielectric barrier discharge (DBD) reactors are intensively studied for CO 2 splitting, yet the absence of proper scaling approaches continues to hinder predictive design and scale‐up. Here, we establish a unified electro‐chemo‐fluid framework that rationalizes reactor behavior across geometries, discharge lengths, and flow rates by integrating Lissajous diagnostics, performance analysis, and dimensionless modeling. Electrical observables scale with plasma power and reactor architecture, whereas CO 2 conversion and energy efficiency are dictated by gas throughput relative to the specific energy input (SEI), demonstrating that performance cannot be inferred from the discharge state alone. Instead, it emerges from the coupled action of electro‐fluid forcing and chemo‐fluid transport‐reaction processes. This interplay is captured through Masuda, Reynolds, and Damköhler numbers, which collapse both present and literature data onto a single monotonic trend. The proposed framework enables predictive comparison, design, and scale‐up of DBD reactors beyond empirical metrics.

AIChE Journal
University of Messina (IT), National Agency for New Technologies Energy and Sustainable Economic Development (GB), Eindhoven University of Technology (NL)
Horizon 2020 Framework Programme
Affordable and clean energy
Openalex Percentile: Top 7%
Plasma Applications and Diagnostics
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Dimensionless modeling of the electro‐fluid interactions in <scp>DBD</scp> plasma reactors for <scp> CO <sub>2</sub> </scp> splitting — Nicola Lisi, Umberto Pasqual Laverdura, et al. · AIChE Journal (2026) | TGRS Research Map | TGRS