JOURNAL ARTICLE

Recent Advances in Ammonia Synthesis: From Haber‐Bosch Process to External Field Driven Strategies.

  • Published In: ChemSusChem, 2024, v. 17, n. 15. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Li, Jiayang; Xiong, Qingchuan; Mu, Xiaowei; Li, Lu 3 of 3

Abstract

Ammonia, a pivotal chemical feedstock and a potential hydrogen energy carrier, demands efficient synthesis as a key step in its utilization. The traditional Haber‐Bosch process, known for its high energy consumption, has spurred researchers to seek ammonia synthesis under milder conditions. Advances in surface science and characterization technologies have deepened our understanding of the microscopic reaction mechanisms of ammonia synthesis. This article concentrates on gas‐solid phase ammonia synthesis, initially exploring the latest breakthroughs and improvements in thermal catalytic synthesis. Building on this, it especially focuses on emerging external field‐driven alternatives, such as photocatalysis, photothermal catalysis, and low‐temperature plasma catalysis strategies. The paper concludes by discussing the future prospects and objectives of nitrogen fixation technologies. This comprehensive review is intended to provide profound insights for overcoming the inherent thermodynamic and kinetic constraints in traditional ammonia synthesis, thereby fostering a shift towards "green ammonia" production and significantly reducing the energy footprint. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:ChemSusChem. 2024/08, Vol. 17, Issue 15, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:18645631
  • DOI:10.1002/cssc.202301775
  • Accession Number:178973821
  • Copyright Statement:Copyright of ChemSusChem is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.