A Rational Electrode-Electrolyte Design for Efficient Ammonia Electrosynthesis under Ambient Conditions
AuthorsSuryanto, Bryan Harry Rahmat
Kang, Colin Suk Mo
Azofra Mesa, Luis
Macfarlane, Douglas R.
KAUST DepartmentChemical Science Program
KAUST Catalysis Center (KCC)
Physical Science and Engineering (PSE) Division
Online Publication Date2018-04-25
Print Publication Date2018-06-08
Permanent link to this recordhttp://hdl.handle.net/10754/627757
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AbstractRenewable energy driven ammonia electrosynthesis by N2 reduction reaction (NRR) at ambient conditions is vital for the sustainability of the global population and energy demand. However, NRR under ambient conditions to date has been plagued with low yield rate and selectivity (<10%) due to the more favourable hydrogen evolution reaction (HER) in aqueous media. Herein, surface area enhanced α-Fe nanorods grown on carbon fibre paper was used as a NRR cathode in an aprotic fluorinated solvent – ionic liquid mixture. Through this design, a significantly enhanced NRR activity with NH3 yield rate of ~2.35 × 10-11 mol s-1 cmGSA-2, (3.71 × 10-13 mol s-1 cmECSA-2) and selectivity of ~32% has been achieved under ambient conditions. This study reveals that the use of hydrophobic fluorinated aprotic electrolyte effectively limits the availability of protons and thus suppresses the competing HER. Therefore, electrode-electrolyte engineering is essential in advancing the NH3 electrosynthesis technology.
CitationSuryanto BHR, Kang CSM, Wang D, Xiao C, Zhou F, et al. (2018) A Rational Electrode-Electrolyte Design for Efficient Ammonia Electrosynthesis under Ambient Conditions. ACS Energy Letters. Available: http://dx.doi.org/10.1021/acsenergylett.8b00487.
SponsorsThe authors thank Monash Centre for Electron Microscopy (MCEM) for the provision of access to their instruments. L.M.A. and L.C. acknowledge King Abdullah University of Science and Technology (KAUST) for support. Gratitude is also due to the KAUST Supercomputing Laboratory using the supercomputer Shaheen II for providing the computational resources. This study was supported by an Australian Research Council (ARC) Discovery Grant (DP170102267). DRM is grateful to the ARC for his Australian Laureate Fellowship.
PublisherAmerican Chemical Society (ACS)
JournalACS Energy Letters