Emission characteristics of offshore fishing ships in the Yellow Bo Sea, China

Liu, Yingshuai; Ge, Yunshan; Tan, Jianwei; Fu, Mingliang; Shah, Asad Naeem; Li, Luqiang; Ji, Zhe; Ding, Yan

doi:10.1016/j.jes.2017.02.020

Cited by 21 publications

(9 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Agricultural machinery was classified based on the Non-road Mobile Source Emissions Inventory Compiled Technical Guidelines (MEPC, 2014) and the type of activity data collected. Since pollutant emissions from fishing vessels could cause serious harm to local atmospheric environment quality (Liu et al, 2018), and in previous studies, pollutant emissions from fishing vessels were often ignored.…”

Section: Classification Of Non-road Equipmentmentioning

confidence: 99%

Multi-type Air Pollutant Emission Inventory of Non-road Mobile Sources in China for the Period 1990-2017

Shen

Kong

Shi

et al. 2021

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

Following increasingly strict supervision of road mobile sources and ongoing research developments, the proportion of non-road mobile source emissions as a contribution to total emissions has become increasingly prominent. Therefore, accurate estimation of an emission inventory of non-road mobile sources is essential for determining policy intended to improve air quality. This study established an inventory of multi-type air pollutant emissions from non-road mobile sources in China for the period 1990-2017. Four types of non-road equipment were considered: construction machinery, agricultural machinery, vessels, and diesel locomotives and nine pollutant types were inventoried: CO, NOx, HC, PM2.5, PM10, BC, OC, VOCs, and SO2. We found that emissions of the investigated pollutants from non-road mobile sources in China increased continually from 1990, decreased slowed after 2014, and then increased again in 2017.Vessels contributed the largest proportion of SO2 pollutant emissions, while agricultural machinery accounted for the largest proportions of the other pollutant emissions from non-road mobile sources.In 2017, emissions of CO and NOx from agricultural machinery were approximately 1472.5 and 2170.4 Gg, accounting for 67.7% and 46.1% of the total CO and NOx emissions from non-road mobile sources, respectively. Analysis of the spatial characteristics of pollutants indicated that high levels of emissions were distributed on the North China Plain and in the Southeast China Coastal Area. The findings revealed the necessity for improving the system for registration of non-road equipment activity. Additionally, China urgently needs further research on the emission characteristics of non-road mobile sources to ensure accurate emission factors.

show abstract

Section: Classification Of Non-road Equipmentmentioning

confidence: 99%

Multi-type Air Pollutant Emission Inventory of Non-road Mobile Sources in China for the Period 1990-2017

Shen

Kong

Shi

et al. 2021

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

show abstract

“…With increasingly stringent emission regulations, the control of particulate matter (PM) and particle numbers (PN) produced by diesel engines has become a critical issue in pollutant control [1][2][3]. The standard [4] clearly proposes strict requirements for PM and PN, which makes it necessary to install a diesel particulate filter (DPF) in aftertreatment systems to meet the PM and PN limits of the national VI Emission Regulations.…”

Section: Introductionmentioning

confidence: 99%

Study on Characteristics and Control Strategy of Diesel Particulate Filters Based on Engine Bench

Sun

Liu

et al. 2022

Processes

Self Cite

View full text Add to dashboard Cite

The ignition temperature of a diesel oxidation catalyst (DOC) and the internal temperature-field distribution of the diesel particulate filter (DPF) during active regeneration are investigated during an engine bench test in this study. Based on the dropped to idle (DTI) test, a test method is developed to determine the safe regeneration temperature of the DPF. The results show that when the inlet temperature of the DOC is more than 240 °C, the DOC begins ignition and reaches the target temperature of 600 °C set for active regeneration of DPF; when the inlet exhaust temperature of the DOC is between 240 and 280 °C, a higher injection rate is required to reduce the secondary pollution of HC and thus make the DPF reach the set target temperature as soon as possible. The active regeneration process of the DPF is divided into three stages. During ignition, the temperature of the DPF inlet and outlet increases rapidly and successively. The internal and outlet temperatures of DPF during regeneration are approximately 50 °C higher than the inlet temperature. At the end of regeneration, the DPF inlet to outlet temperature drops rapidly. A feed-forward design and feedback algorithm are used to verify the change in the target regeneration temperature. The overshoot of the DPF control strategy was less than 3%, and the steady-state temperature control error was less than 20 °C. The results of this study provide a basis for the safe control of DPFs’ active regeneration temperatures.

show abstract

“…According to the current state-of-the-art for automotive applications, the condition of engine oil is estimated by means of indirect methods that mainly rely on operating parameters, such as engine speed, performance, and temperature [6].…”

Section: Introductionmentioning

confidence: 99%

Research on Testing Method of Oil Characteristic Based on Quartz Tuning Fork Sensor

2021

Self Cite

View full text Add to dashboard Cite

There is increasing demand for the on-board diagnosis of lubricating oils. In this research, we consider various sensor principles for on-board diagnosis of the thermal aging of engine oils. One of the parameters investigated is the viscosity of the lubricating oil, which can be efficiently measured using a microacoustic sensor. Compared with conventional viscometers, these sensors probe a different rheological domain, which needs to be considered in the interpretation of measurement results. This specific behavior is examined by systematically investigating engine oils, with and without additive packages, that were subjected to a defined artificial aging process. This paper presents design strategies for the algorithm developed and applied for direct on-board diagnosis of engine oil conditions with a fluid property sensor; this enables prediction of remaining oil life and optimization of oil change intervals, thereby minimizing the likelihood of dramatic engine failure and reducing maintenance costs. After a general description of the principles of sensor measurement, different engine oil contaminants, aging phenomena, and associated sensor detection and measurement capabilities are discussed.

show abstract

Emission characteristics of offshore fishing ships in the Yellow Bo Sea, China

Cited by 21 publications

References 35 publications

Multi-type Air Pollutant Emission Inventory of Non-road Mobile Sources in China for the Period 1990-2017

Multi-type Air Pollutant Emission Inventory of Non-road Mobile Sources in China for the Period 1990-2017

Study on Characteristics and Control Strategy of Diesel Particulate Filters Based on Engine Bench

Research on Testing Method of Oil Characteristic Based on Quartz Tuning Fork Sensor

Contact Info

Product

Resources

About