Influence of 50 Hz and 20 kHz Plasma Generator Frequency on Ammonia Decomposition for Hydrogen Recovery

The development of alternative energy is crucial to realizing the goals of the Paris Agreement. Hydrogen is a key energy carrier, and ammonia is considered its practical storage medium due to its high H2 content and efficient storage and transportation. However, efficient NH3 decomposition methods are needed to recover stored hydrogen. Plasma-assisted decomposition offers a potential solution, but high energy consumption, mainly due to inefficient power supply systems, remains a challenge. This study examines the impact of varying the driving frequency of a gliding discharge plasma system on ammonia decomposition, comparing low-frequency 50 Hz and high-frequency 20 kHz power supplies. Results show that high-frequency plasma enhances electron density and energy distribution, increasing the amount of vibrationally excited nitrogen molecules. This improves catalyst activation, leading to higher ammonia conversion and hydrogen production. Compared to the thyristor-powered system, the high-frequency system increased ammonia decomposition productivity by 30% and reduced energy consumption by 36% using a coprecipitated catalyst. These findings emphasize the importance of a plasma generator optimizing plasma-assisted ammonia decomposition and improving efficiency in hydrogen production.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-07-19
DOI
https://doi.org/10.3390/en18143841
Citations
1
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of 50 Hz and 20 kHz Plasma Generator Frequency on Ammonia Decomposition for Hydrogen Recovery

Krzysztof Krawczyk, Michalina Perron, Wojciech Gajewski, Michał Młotek et al.
1 citations
Energies
Ammonia Synthesis and Nitrogen Reduction
0.39
article

Influence of 50 Hz and 20 kHz Plasma Generator Frequency on Ammonia Decomposition for Hydrogen Recovery

Krzysztof Krawczyk, Michalina Perron, Wojciech Gajewski, Michał Młotek, Mateusz Wiosna
article en
1 citations

Abstract

The development of alternative energy is crucial to realizing the goals of the Paris Agreement. Hydrogen is a key energy carrier, and ammonia is considered its practical storage medium due to its high H2 content and efficient storage and transportation. However, efficient NH3 decomposition methods are needed to recover stored hydrogen. Plasma-assisted decomposition offers a potential solution, but high energy consumption, mainly due to inefficient power supply systems, remains a challenge. This study examines the impact of varying the driving frequency of a gliding discharge plasma system on ammonia decomposition, comparing low-frequency 50 Hz and high-frequency 20 kHz power supplies. Results show that high-frequency plasma enhances electron density and energy distribution, increasing the amount of vibrationally excited nitrogen molecules. This improves catalyst activation, leading to higher ammonia conversion and hydrogen production. Compared to the thyristor-powered system, the high-frequency system increased ammonia decomposition productivity by 30% and reduced energy consumption by 36% using a coprecipitated catalyst. These findings emphasize the importance of a plasma generator optimizing plasma-assisted ammonia decomposition and improving efficiency in hydrogen production.

EnergiesVol. 18(14)
Warsaw University of Technology (PL), University of Zielona Góra (PL)
Openalex Percentile: Top 42%
Ammonia Synthesis and Nitrogen Reduction
0.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.