Enhancing combustion efficiency and reducing nitrogen oxide emissions from ammonia combustion: A comprehensive review

J Tian, L Wang, Y Xiong, Y Wang, W Yin, G Tian… - Process Safety and …, 2024 - Elsevier
Ammonia is an efficient energy carrier with high hydrogen content and can be used as a
clean energy source to replace traditional petroleum fuels. Compared with hydrogen …

Perspectives on NOX Emissions and Impacts from Ammonia Combustion Processes

S Mashruk, H Shi, L Mazzotta, CE Ustun… - Energy & …, 2024 - ACS Publications
Climate change and global warming necessitate the shift toward low-emission, carbon-free
fuels. Although hydrogen boasts zero carbon content and high performance, its utilization is …

Highly accurate heat release rate marker detection in NH3–CH4 cofiring through machine learning and domain knowledge-based selection integration

AZ Ghadi, A Syauqi, B Gu, H Lim - International Journal of Hydrogen …, 2024 - Elsevier
Ammonia emerges as a promising substitute for traditional fuels, offering a potential
reduction in fossil fuel consumption and the associated emissions. Given its weak reactivity …

Ammonia/hydrogen laminar flame speed measurements at elevated temperatures

M Figueroa-Labastida, L Zheng, JW Streicher… - International Journal of …, 2024 - Elsevier
Laminar flame speeds of ammonia/hydrogen blends diluted in a mixture of 79% Ar and 21%
O 2 (referred to as “airgon”) were measured for the first time at high temperatures exceeding …

[HTML][HTML] Probabilistic machine learning framework for chemical source term integration with Gaussian Processes: H2/air auto-ignition case

CE Üstün, A Paykani - International Journal of Hydrogen Energy, 2024 - Elsevier
The integration of chemistry poses a major bottleneck in numerical combustion modelling,
as a significant amount of simulation time is consumed in the direct integration (DI) of …

[HTML][HTML] Topologically consistent regression modeling exemplified for laminar burning velocity of ammonia-hydrogen flames

H Du, T Wang, H Wei, GYC Maceda, BR Noack, L Zhou - Energy and AI, 2024 - Elsevier
Data-driven regression models are generally calibrated by minimizing a representation
error. However, optimizing the model accuracy may create nonphysical wiggles. In this …

[HTML][HTML] Data-driven prediction of laminar burning velocity for ternary ammonia/hydrogen/methane/air premixed flames

CE Üstün, S Eckart, A Valera-Medina, A Paykani - Fuel, 2024 - Elsevier
Zero-carbon fuels such as hydrogen and ammonia play a pivotal role in the energy transition
by offering cleaner alternatives to natural gas (methane), especially in industrial combustion …

[HTML][HTML] New laminar flame speed correlation for lean mixtures of hydrogen combustion with water addition under high pressure conditions

DN Rrustemi, LC Ganippa, T Megaritis… - International Journal of …, 2024 - Elsevier
Hydrogen may become a substitute for liquid fossil fuels, contributing to greenhouse gas
emissions reductions in internal combustion engines. Numerical simulations play a critical …

Fireball distribution characteristics and thermal radiation effects in the explosion of aviation kerosene storage tank

C Wang, S Song, G Gu, M Gao, Y Yang - Process Safety and …, 2024 - Elsevier
Aviation kerosene acts as the main fuel for civil and military aircrafts. In order to study the
explosion fireball distribution and thermal radiation effects of aviation kerosene storage tank …

Towards a machine learning model to predict the laminar flame speed of fuel blends and vented gases in lithium-ion batteries

S Ogunfuye, M Perhinschi, V Akkerman - Fuel, 2024 - Elsevier
A data-driven machine learning (ML) model for predicting laminar flame speeds (LFS) of
common fuel–air mixtures is developed, with a major advantage of being convenient and …