The research target is the significance of nitrogen oxides (NOx) and particulate matter (PM) emissions reduction of diesel-powered engines that are still significant sources of air pollution in terms of transportation and industrial activity. The suggested exhaust-driven water vapor injection system will make use of exhaust pressure to actuate a gear-cam nozzle assembly to inject water vapor in the combustion process in a controlled manner. This solution seems promising and innovative in the form of a retrofit solution to the current diesel engines. Combination of thermodynamic analysis: the thermodynamic modeling is done to consider the impact of water vapor injection on maximum flame temperature and NOx production with extended Zeldovich kinetics and first-law energy balance. The final experimental results reported show that despite the injection ratio of water being 10 and 20 per cent, the up to 42 and 44 percent of NOx emissions and particles are reduced, which is quite optimistic in its environmental improvement. Moreover, the resemblance to the latest literature allows locating the findings in the context of emission control technologies. Nonetheless, there are several things that need to be better explained and elaborated. The description does not provide sufficient details on the experimental setup, engine details, instrumentation, and measurement procedures, which makes it difficult to fully assess the reliability and reproducibility of the reported results. Moreover, there is no description of the modelling assumptions and validation approach. The rise of the brake specific fuel consumption (BSFC) is mentioned and not analysed adequately in terms of overall engine efficiency and performance trade-offs. Better articulation of the methodology and rigorous validation of the model, a more articulate discussion of performance implications, would enhance the scientific applicability and clarity of the work.
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B. Bekele
Dambi Dollo University
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B. Bekele (Thu,) studied this question.
www.synapsesocial.com/papers/69d8940c6c1944d70ce05078 — DOI: https://doi.org/10.11648/j.sdenergy.20260101.15