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A review on clean ammonia as a potential fuel for power generators

Yapicioglu, Arda, Dincer, Ibrahim·2019·Renewable and Sustainable Energy Reviews

Abstract

This review focuses on the use of renewable ammonia for power generation applications and discusses options to convert industrial-grade generators to run on ammonia fuel. The different methods to produce clean ammonia are also discussed in terms of possible advantages and challenges from socio-economic, energetic and environmental perspectives. The main aim of using clean fuel sources, such as ammonia and hydrogen, is to achieve higher sustainability and low carbon emissions compared to conventional fuels. In addition, the present review comparatively assesses and discusses methods for clean ammonia synthesis based on their technical, economic and environmental performance criteria. Numerous potential strategies to improve the clean ammonia production methods are also explored, namely, liquid-electrolyte based systems, composite-membrane based systems, solid-state electrolyte, ceramic/inorganic proton-conducting solid electrolyte based systems, polymer-membrane based systems, O2 conducting-membrane based systems, and molten salt based electrochemical systems. Furthermore, some potential methods to convert various types of commercially available generators to be able to ammonia are proposed and discussed based on the experimental work carried out in the field.

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Metadata

Authors
Yapicioglu, A., & Dincer, I.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2019-04
Volume
103
Pages
96-108
ISSN
1364-0321 (ISSN-L)
OpenAlex
W2908102983
Cited by
515
References
2
FWCI
10.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A review on clean ammonia as a potential fuel for power generators. https://app.cochat.ai/papers/10.1016/j.rser.2018.12.023
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Yapicioglu, A., & Dincer, I. (2019). A review on clean ammonia as a potential fuel for power generators. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2018.12.023

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.