A novel combination of machine learning and intelligent optimization algorithm for modeling and optimization of green ammonia synthesis
-
Published:2024-07
Issue:
Volume:311
Page:118429
-
ISSN:0196-8904
-
Container-title:Energy Conversion and Management
-
language:en
-
Short-container-title:Energy Conversion and Management
Author:
Deng ZhihuaORCID,
Zhang LanORCID,
Miao BinORCID,
Liu Qinglin,
Pan ZehuaORCID,
Zhang Weike,
Ding Ovi Lian,
Chan Siew HwaORCID
Reference33 articles.
1. Green hydrogen-based E-fuels (E-methane, E-methanol, E-ammonia) to support clean energy transition: A literature review;Amira;Int J Hydrog Energy,2023
2. A critical review of the state-of-the-art green ammonia production technologies- mechanism, advancement, challenges, and future potential;Sekhar;Fuel,2024
3. A comparative overview of hydrogen production processes;Nikolaidis;Renew Sustain Energy Rev,2017
4. A review on ammonia, ammonia-hydrogen and ammonia-methane fuels;Wai Siong;Renew Sustain Energy Rev,2021
5. Current and future role of Haber-Bosch ammonia in a carbon-free energy landscape;Smith;Energy Environ Sci,2020
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献