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Plasma Catalysis and Chemical Conversion II

4:00 pm – 5:30 pm, Thursday October 16 Session DR5 COEX, Room E1
Chair:
Nils Hansen, Sandia National Laboratories
Topics:

Decoupling Plasma, Thermal, and Catalyst Effects for Selective Methane Conversion in Plasma-Catalysis

5:15 pm – 5:30 pm
Presenter: Varanasi Sai Subhankar (The University of Texas at Austin)
Authors: Sophia Gershman (Princeton Plasma Physics Laboratory (PPPL)), Thomas Underwood (The University of Texas at Austin)

Nonthermal plasmas offer a low-temperature route for methane conversion to C2 hydrocarbons and H2 across a wide class of catalysts, but selective control on product distribution remains challenging due to coupled effects from plasma excitations, thermal energy, and catalyst surface chemistry. We present a mechanistic framework that independently tunes vibrational excitation (Tvib), surface temperature (Tsur), and catalyst binding strength to control both product speciation (e.g, C2H2, C2H4, C2H6) and catalytic inactivation (surface coverage in the form of CHx*). Experiments are conducted in a dielectric barrier discharge reactor with independent heating control, using Ni and Cu on Al2O3 to represent strong and weak metal-carbon binding regimes. We show Tsur and Tvib influence different steps of the reaction mechanism: Tsur affects the stability and removal of surface CHx* species, while Tvib controls the rate of CH4 dissociative adsorption by tuning the relative population of vibrationally excited molecules and radicals. On Ni, increasing Tsur from 373 K to 523 K shifts C2 product distribution: C2H6 is the primary upgraded hydrocarbon at lower Tsur, while C2H4 is the primary C2 hydrocarbon at higher Tsur ( > 473 K). This shift aligns with reduced CHx*  coverage, indicating that higher temperatures promote CHx* desorption or decomposition and reduce surface buildup. Operando DRIFTS confirms that Ni retains more CHx* than Cu under similar conditions, consistent with its higher tendency for carbon accumulation. We employ a Langmuir–Hinshelwood microkinetic model, informed by DFT-based linear scaling relationships that correlate reaction energetics with catalyst binding energy, to validate trends in CHx* coverage and product selectivity.

Funding acknowledgement

This research is supported by the DOE Fusion Energy Sciences grant number E-SC0024437 with Dr. Nirmol Podder as Program Manager. The work was in part conducted at the Princeton Collaborative Research Facility (PCRF) which is supported by U.S. DOE under the contract No. DE-AC02-09CH11466.