A study on nitrogen oxide emission prediction in Taichung thermal power plant using artificial intelligence (AI) model-Reference-Cited by-同舟云学术

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A study on nitrogen oxide emission prediction in Taichung thermal power plant using artificial intelligence (AI) model

Published:2024-04 Issue: Volume:63 Page:1-9
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Liou Jian-Liang^ORCID,Liao Kuo-Chien^ORCID,Wen Hung-Ta,Wu Hom-Yu

Publisher

Elsevier BV

Reference31 articles.

1. The methodology of decoupling fuel and thermal nitrogen oxides in multi-dimensional computational fluid dynamics combustion simulation of ammonia-hydrogen spark ignition engines;Yang;Int J Hydrogen Energy,2024

2. Preliminary assessment of the potential for rapid combustion of pure ammonia in engine cylinders using the multiple spark ignition strategy;Huang;Int J Hydrogen Energy,2024

3. In-cylinder thermochemical fuel reforming for high efficiency in ammonia spark-ignited engines through hydrogen generation from fuel-rich operations;Liu;Int J Hydrogen Energy,2024

4. Diffuse lung disorders: a comprehensive clinical-radiological overview;Sperber,2012

5. Impact of nitrogen oxides on the environment and human health: Mn-based materials for the NOx abatement;Boningari;Curr. Opinion Chem. Eng.,2016

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1. NOx Formation Mechanism and Emission Prediction in Turbulent Combustion: A Review;Applied Sciences;2024-07-12

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