Review of Diesel Particulate Matter Control Methods in Underground Mines

Chang, Ping; Xu, Guang

doi:10.1007/978-981-13-1420-9_39

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Введение. Дизель-гидравлические локомотивы (ДГЛ) с каждым годом все чаще используются на предприятиях горнодобывающей промышленности, в частности, в угольных шахтах, значительно повышая производительность труда при перевозке технических и горюче-смазочных материалов, проведении ремонтно-такелажных работ, строительстве и ремонте подземных дорог [22,24], перевозке людей [6,29,31] и других видах деятельности. На горнодобывающих предприятиях, использующих ДГЛ, воздух рабочих зон загрязняется компонентами выхлопных газов.…”

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Justification of the use of a vegetal additive to diesel fuel as a method of protecting underground personnel of coal mines from the impact of harmful emissions of diesel-hydraulic locomotives

Korshunov

Eremeeva

Drebenstedt³

2021

PMI

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Equipment with diesel engines is used in all mining enterprises. Monorail diesel transport is of great importance in coal mines, as it facilitates the heavy labor of workers when transporting materials and people, fixing mining workings, refueling and repairing equipment, which leads to an increase in the speed of tunneling operations. Reducing the concentration of harmful gases from diesel-hydraulic locomotives at the workplaces of coal mine locomotive drivers can be ensured by the use of additives to diesel fuel that reduce the volume of harmful gas emissions during the operation of diesel-hydraulic locomotives. Additive ester-based on vegetal oil in the amount of 5 mass % in a mixture with hydrotreated diesel fuel reduces the concentration of carbon monoxide by 19-60 %, nitrogen oxides by 17-98 %, depending on the operating mode of the engine, the smoke content of the exhaust gases is reduced to 71 %. There is an improvement in working conditions at the workplace of the driver of a diesel-hydraulic locomotive by the chemical factor due to the reduction of the class of working conditions from 3.1. to 2.

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Justification of the use of a vegetal additive to diesel fuel as a method of protecting underground personnel of coal mines from the impact of harmful emissions of diesel-hydraulic locomotives

Korshunov

Eremeeva

Drebenstedt³

2021

PMI

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“…For this reason, inspections include dust measurements outside and inside cabins to estimate the filtration efficiency in machines with different filters and intake configurations [17]. The contribution of diesel particle matter (DPM) from individual engine emissions to total emissions, cabin integrity, positive pressure, and air filtration systems is validated, to assess exposure to this factor [18], while quantitative levels of exposure to diesel exhaust expressed by elemental carbon (EC) are estimated, together with a description of the excess risk of lung cancer that can result from these levels [19]. Similarly, thermal comfort and the threshold range of airflow supply parameters are assessed for different types of work, including shearer drivers [20].…”

Section: State Of the Artmentioning

confidence: 99%

CFD Analysis of the Forced Airflow and Temperature Distribution in the Air-Conditioned Operator’s Cabin of the Stationary Rock Breaker in Underground Mine under Increasing Heat Flux

et al. 2023

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The exploitation of natural resources is associated with many natural hazards. Currently, the copper ore deposits exploited in Polish mines are located at a depth of about 1200 m below the surface. The primary temperature of the rocks in the exploited areas reaches 48 ∘C, which constitutes a major source of heat flux to the mine air. However, another important source of heat is the machine plant, which mainly consists of machines powered by diesel engines. Following the results of in situ measurements, boundary conditions for a simulation were determined and a geometric model of the cabin was created. Furthermore, an average human model was created, whose radiative heat transfer was included in the analysis. Three cases were studied: the first covering the current state of thermal conditions, based on the measurement results, and two cases of forecast conditions. In the second case, the temperature of the conditioned air was determined, and in the third, the flow velocity required to ensure thermal comfort was found. The results of the simulation indicated that for the microclimatic conditions established based on the measurements (ambient air temperature in the excavation 35.0 ∘C, air-conditioned airflow 2.4 × 10−2 m3/s, and temperature 10.0 ∘C), the temperature of the air inside the air-conditioned operator’s cabin would be 20.4 ∘C. Based on the personal mean vote (PMV) index, it was concluded that the thermal sensation would range from neutral to slightly cool, which confirmed the legitimacy of the actions taken to reduce the adverse impact of the microclimatic conditions on workers in the workplace. However, for the case of predicted conditions of enhanced heat flux from strata and machinery, resulting in an average ambient temperature increased to 38.0 ∘C, it would be necessary to lower the temperature of air from the air conditioner to 8.00 ∘C or increase the flow rate to 3.14 × 10−2 m3/s to maintain thermal comfort at the same level of PMV index.

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“…Diesel engines generate many chemical compounds in liquid, solid, and, most importantly, gaseous states. The most important of these are sulphur dioxide (SO 2 ), carbon monoxide (CO), carbon dioxide (CO 2 ), hydrocarbon compounds (CH x ), nitrogen oxide (NO), nitrogen dioxide (NO 2 ), and solid particles [24][25][26][27][28][29]. According to Stavert and Lehnert [30] and Kampa [31], NOx is a harmful air pollutant that can have significant impacts on both the environment and human health.…”

Section: State Of the Artmentioning

confidence: 99%

Forecasting of NOx Emissions of Diesel LHD Vehicles in Underground Mines—An ANN-Based Regression Approach

Banasiewicz,

Moosavi,

Kotyla

et al. 2023

Applied Sciences

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An approach based on an artificial neural network (ANN) for the prediction of NOx emissions from underground load–haul–dumping (LHD) vehicles powered by diesel engines is proposed. A Feed-Forward Neural Network, the Multi-Layer Perceptron (MLP), is used to establish a nonlinear relationship between input and output layers. The predicted values of NOx emissions have less than 15% error compared to the real values measured by the LHD onboard monitoring system by the standard sensor. This is considered quite good efficiency for dynamic behaviour prediction of extremely complex systems. The achieved accuracy of NOx prediction allows the application of the ANN-based “soft sensor” in environmental impact estimation and ventilation system demand planning, which depends on the number of working LHDs in the underground mine. The proposed solution to model NOx concentrations from mining machines will help to provide a better understanding of the atmosphere of the working environment and will also contribute to improving the safety of underground crews.

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Review of Diesel Particulate Matter Control Methods in Underground Mines

Cited by 5 publications

References 16 publications

Justification of the use of a vegetal additive to diesel fuel as a method of protecting underground personnel of coal mines from the impact of harmful emissions of diesel-hydraulic locomotives

Justification of the use of a vegetal additive to diesel fuel as a method of protecting underground personnel of coal mines from the impact of harmful emissions of diesel-hydraulic locomotives

CFD Analysis of the Forced Airflow and Temperature Distribution in the Air-Conditioned Operator’s Cabin of the Stationary Rock Breaker in Underground Mine under Increasing Heat Flux

Forecasting of NOx Emissions of Diesel LHD Vehicles in Underground Mines—An ANN-Based Regression Approach

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