Effects of fuel types and fuel sulfur content on the characteristics of particulate emissions in marine low-speed diesel engine

Shen, Feixiang; Li, Xiaobo

doi:10.1007/s11356-019-07168-6

Cited by 23 publications

(9 citation statements)

References 20 publications

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“…There are several other parameters which affect the absolute emission of PM as well as the particle composition, such as fuel type, operation conditions, engine load, engine properties, and maintenance. Ship exhaust also contains elevated levels of nitrogen oxides (NO x , including NO 2 and NO), sulfur dioxide (SO 2 ), carbon monoxide (CO), carbon dioxide (CO 2 ), and volatile organic compounds (VOCs) (Sinha et al, 2003;Chen et al, 2005;Alföldy et al, 2013;Moldanová et al, 2009;Huang et al, 2018;Cooper, 2001). Concentrations of CO 2 can be used to estimate emission factors of gases and particles.…”

Section: Introductionmentioning

confidence: 99%

Ship plumes in the Baltic Sea Sulfur Emission Control Area: chemical characterization and contribution to coastal aerosol concentrations

et al. 2020

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Abstract. In coastal areas, there is increased concern about emissions from shipping activities and the associated impact on air quality. We have assessed the ship aerosol properties and the contribution to coastal particulate matter (PM) and nitrogen dioxide (NO2) levels by measuring ship plumes in ambient conditions at a site in southern Sweden, within a Sulfur Emission Control Area. Measurements took place during a summer and a winter campaign, 10 km downwind of a major shipping lane. Individual ships showed large variability in contribution to total particle mass, organics, sulfate, and NO2. The average emission contribution of the shipping lane was 29±13 and 37±20 ng m−3 to PM0.5, 18±8 and 34±19 ng m−3 to PM0.15, and 1.21±0.57 and 1.11±0.61 µg m−3 to NO2, during winter and summer, respectively. Sulfate and organics dominated the particle mass and most plumes contained undetectable amounts of equivalent black carbon (eBC). The average eBC contribution was 3.5±1.7 ng m−3 and the absorption Ångström exponent was close to 1. Simulated ageing of the ship aerosols using an oxidation flow reactor showed that on a few occasions, there was an increase in sulfate and organic mass after photochemical processing of the plumes. However, most plumes did not produce measurable amounts of secondary PM upon simulated ageing.

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Section: Introductionmentioning

confidence: 99%

Ship plumes in the Baltic Sea Sulfur Emission Control Area: chemical characterization and contribution to coastal aerosol concentrations

et al. 2020

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“…Several factors influence the rate of sludge formation in wet scrubbers, the most important being the rate of particulate matter (PM) generation during fuel combustion. , The general composition of particulate matter for heavy fuel burning ships is shown in Table . The type of fuel (petroleum residue conversion, biofuel, or synthetic fuel) and its sulfur content, engine technology (low/high speed, two/four-stroke, and age), and EGCS components such as SCR and EGR affect the rate of PM formation as well as its composition. − …”

Section: Scrubber Emissionsmentioning

confidence: 99%

“…However, the reliability of these fuels in cold boreal and southern latitudes in the winter requires additional studies to ensure that the presence of antifreeze additives does not cause particulate emission rates to drift outside their acceptable range . Similar comparisons between the combustion of heavy fuel oil (HFO, sulfur content = 3.36 wt %) and marine diesel fuel (MDO, sulfur content = 0.1 wt %) show that the former releases 90% more PM than the latter . The chemical composition of particulate matter emitted from a two-stroke marine engine burning HFO was compared to that of a four-stroke engine running on low-sulfur diesel fuel (LSDF) or high-sulfur diesel fuel (HSDF) .…”

Section: Scrubber Emissionsmentioning

confidence: 99%

“…97 Similar comparisons between the combustion of heavy fuel oil (HFO, sulfur content = 3.36 wt %) and marine diesel fuel (MDO, sulfur content = 0.1 wt %) show that the former releases 90% more PM than the latter. 98 The chemical composition of particulate matter emitted from a two-stroke marine engine burning HFO was compared to that of a fourstroke engine running on low-sulfur diesel fuel (LSDF) or high-sulfur diesel fuel (HSDF). 99 Substitution with diesel fuel has somewhat reduced particulate formation, but at the cost of higher levels of PAHs, particularly the more toxic five-ring aromatics.…”

Section: Scrubber Emissionsmentioning

confidence: 99%

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Mitigation of Ship Emissions: Overview of Recent Trends

Sarbanha

Larachi

Taghavi

et al. 2023

Ind. Eng. Chem. Res.

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The urgency of reducing flue gas pollution in maritime transport makes it necessary to take a holistic view of its sustainability and environmental impacts. Among the approaches to reducing ship exhaust emissions, marinized gas scrubbers, given their ability to be retrofitted to existing ships, are a central element in the tradeoff against the use of expensive low-sulfur fuels. However, compounding this issue, the priority of reducing greenhouse gas (GHG) emissions in the coming decades poses new challenges to emissions compliance. The use of exhaust gas cleaning systems to remove SO X , NO X , and particulate matter (PM) emissions will be enhanced in the short to medium term by GHG reductions. In this study, the different types of scrubbers for seaborne operation and the potential risks associated with their secondary emissions will be critically reviewed. In addition, NO X reduction systems and recent efforts to reduce CO 2 through onboard carbon capture systems or alternative fuel combustion will also be covered.

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“…Moreover, combustion of sulfur causes significant pollution to the atmosphere and threatens human health. [4][5][6] Ultra-low sulfur diesel (ULSD) in the United States and European Union is defined as diesel fuel with a sulfur content less than 15 mg kg À1 . Engines fueled with ULSD have effective combustion and markedly reduce the emission of harmful gases.…”

Section: Introductionmentioning

confidence: 99%

Quantitative and qualitative prediction of sulfur content in diesel by near infrared spectroscopy

Zheng

Huang

Zhu

et al. 2023

Journal of Near Infrared Spectroscopy

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This study explored the application of near infrared spectroscopy for quantitative and qualitative prediction of sulfur content in diesel fuel in the range of 10.3–1038.0 mg kg−1. The original spectra were preprocessed through various methods such as decentralization, normalization, multivariate scattering correction, and a smoothing (15-point window with second order polynomial fit). The performances of models based on partial least squares (PLS) regression, the bootstrapping soft shrinkage (BOSS), competitive adaptive reweighted sampling and Monte Carlo uninformative variable elimination algorithms in quantitative analysis of diesel samples were compared. The model for quantitative prediction of sulfur content in diesel samples using the BOSS-PLS algorithm had the highest performance and accuracy with a RMSEP of 36.20 mg kg−1 and r2 of 0.98 using a Savitzky-Golay second derivative. Diesel fuel samples were classified into five groups according to the sulfur content for qualitative analysis. The interval PLS method was then used to determine the characteristic spectra of the diesel samples. The experimental results indicated that the discriminant partial least squares qualitative analysis model had the highest performance with the characteristic spectrum from 12,493 to 10,892 cm−1, with 92.04% accuracy.

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Effects of fuel types and fuel sulfur content on the characteristics of particulate emissions in marine low-speed diesel engine

Cited by 23 publications

References 20 publications

Ship plumes in the Baltic Sea Sulfur Emission Control Area: chemical characterization and contribution to coastal aerosol concentrations

Ship plumes in the Baltic Sea Sulfur Emission Control Area: chemical characterization and contribution to coastal aerosol concentrations

Mitigation of Ship Emissions: Overview of Recent Trends

Quantitative and qualitative prediction of sulfur content in diesel by near infrared spectroscopy

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