187
Views
1
CrossRef citations to date
0
Altmetric
Articles

Optimization of Combustion and Emission Characteristics of a two-Stroke Marine Diesel Engine Based on Online Ultrasonic and Magnetization of Marine Heavy Fuel Oil

, ORCID Icon &
Pages 1154-1167 | Received 09 Apr 2018, Accepted 21 Aug 2018, Published online: 04 Oct 2018
 

ABSTRACT

This study adopts 25 kHz ultrasonic wave and 0.4T magnetization field in online optimization of Marine Heavy Fuel Oil (MHFO). It aims at studying the feasibility of optimizing the combustion and emission performance of two-stroke marine diesel engine with one kind of MHFO with ultrasonic wave and magnetization field. The results show that engine’s fuel consumption could reach 222 g/kW· h under 25% of engine rated power, while this consumption reduces to 188 g/kW· h under 90% of engine rated power. It can be seen that the rate of fuel consumption decreased by about 15% between 25% and 90% of engine rated power. The improved combustion performance under high operating load conditions produced low carbon monoxide (CO) and carbon dioxide (CO2) emissions. The rise of in-cylinder temperature promoted the formation of nitrogen oxides (NOx), in which nitrogen oxide (NO) accounted for about 99.5% of the NOx composition. Through the optimization of online MHFO with ultrasonic waves and magnetization field device under 25% of engine rated power, the engine’s fuel consumption rate decreased by about 1.5%. This shows that CO and CO2 emissions have been effectively reduced. However, the NOx emissions increased slightly. The CO, CO2 and NOx emissions decreased when the engine’s power increased form 50% to 75%, In this operating range, its fuel saving decreased from 0.4% to 0.08%. At 90% of engine rated power the volume concentration of CO emissions and fuel consumption rate increased. However, its CO2 emissions decreased, while the NOx emissions remained unchanged.

Acknowledgments

The authors would like to acknowledge the financial supports to the research provided by the National Natural Science Foundation of China (51709163), and the PhD Innovation Fund of Shanghai Maritime University (2015ycx080).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [51709163], and the PhD Innovation Fund of Shanghai Maritime University [2015ycx080].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,493.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.