fig4

Machine learning-driven optimization of plasma-coupled photocatalytic CO<sub>2</sub> reduction system for syngas production

Figure 4. Comparison of model prediction with experimental data for the effect of discharge power on the plasma-photocatalytic CO2 and H2O conversion: (A) CO2 conversion and (B) CO yield and H2 yield (Relative humidity = 58%, light intensity = 1,000 mW cm-2, gas flow = 30 mL min-1, catalyst dosage = 40 mg); Predicted effects of (C) relative humidity (Discharge power = 50 W, light intensity = 1,000 mW cm-2, gas flow = 20 mL min-1, catalyst dosage = 60 mg) and (D) light intensity (Discharge power = 50 W, relative humidity = 32%, gas flow = 20 mL min-1, catalyst dosage = 60 mg) on the plasma-photocatalytic CO2 and H2O conversion reaction performance.

Energy Materials
ISSN 2770-5900 (Online)
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