Modeling particulate matter emissions during mineral loading process under weak wind simulation

Zhang, Xiaochun; Chen, Weiping; Ma, Chun; Shou-yi, Zhan

doi:10.1016/j.scitotenv.2013.01.050

Cited by 45 publications

(16 citation statements)

References 25 publications

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“…The high uncertainty of gas and other fossil fuel price reduces the security and stability of electricity supply and then impacts the economy [33]. Air pollutants emitted from fossil fuel, such as particular matters [34][35][36] and carbon emission [37], also cause environmental and climatic risks [38,39]. The well-known examples are the 1973-1974 Arab oil embargo and the 2000-2001 California electricity crisis.…”

Section: Impacts On Global Energy Security and Stabilitymentioning

confidence: 99%

The impacts of wind technology advancement on future global energy

Zhang

Song

et al. 2016

Applied Energy

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h i g h l i g h t sIntegrated assessment model perform a series of scenarios of technology advances. Explore the potential roles of wind energy technology advance in global energy. Technology advance impacts on energy consumption and global low carbon market. Technology advance influences on global energy security and stability. a r t i c l e i n f o b s t r a c tTo avoid additional global warming and environmental damage, energy systems need to rely on the use of low carbon technologies like wind energy. However, supply uncertainties, production costs, and energy security are the main factors considered by the global economies when reshaping their energy systems. Here, we explore the potential roles of wind energy technology advancement in future global electricity generations, costs, and energy security. We use an integrated assessment model performing a series of technology advancement scenarios. The results show that double of the capital cost reduction causes 40% of generation increase and 10% of cost decrease on average in the long-term global wind electricity market. Today's technology advancement could bring us the benefit of increasing electricity production in the future 40-50 years, and decreasing electricity cost in the future 90-100 years. The technology advancement of wind energy can help to keep global energy security and stability. An aggressive development and deployment of wind energy could in the long-term avoid 1/3 of gas and 1/28 of coal burned, and keep 1/2 biomass and 1/20 nuclear fuel saved from the global electricity system. The key is that wind resources are free and carbon-free. The results of this study are useful in broad coverage ranges from innovative technologies and systems of renewable energy to the economic industrial and domestic use of energy with no or minor impact on the environment.

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Section: Impacts On Global Energy Security and Stabilitymentioning

confidence: 99%

The impacts of wind technology advancement on future global energy

Zhang

Song

et al. 2016

Applied Energy

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“…PM generated during mining operations at the workplace (called "bench") disperses in the mine by moving to several benches and contributes to the enhanced concentration at different parts of the mine . However, only a few studies have reported detail information about generation, estimation and contribution of PM during mining operations (Marrugo-Negrete et al 2014;Zhang et al 2013;Chakraborty et al Citation details: Patra, A., Gautam, S., Majumdar, S., . Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model.…”

Section: Introductionmentioning

confidence: 99%

Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model

Patra

Gautam

Majumdar

et al. 2015

Air Qual Atmos Health

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Springer Science+Business Media Dordrecht Particulate matter (PM) is a major pollutant in and around opencast mine areas. The problem of degradation of air quality due to opencast mine is more severe than those in underground mine. Prediction of dust concentration must be known to implement control strategies and techniques to control air quality degradation in the workplace environment. Limited studies have reported the dispersion profile and travel time of PM between the benches inside the mine. In this paper, PM concentration has been measured and modeled in Malanjkhand Copper Project (MCP), which is one of the deepest opencast copper mines in India. Meteorological parameters (wind speed, temperature, relative humidity) and PM concentration in seven size ranges (i.e., PM0.23–0.3, PM0.3–0.4, PM0.4–0.5, PM0.5–0.65, PM0.65–0.8, PM0.8–1, and PM1–1.6) have been measured for 8 days. The results of the field study provide an understanding of the dispersion of the PM generated due to mining activities. This research work presents an approach to assess the exposure of enhanced level of PM concentration on mine workers and its variation with depth. The correlations study shows that concentration of PM during its travel from source to surface is associated with depth. Empirical equations are developed to represent relationships between concentrations of PM and depth. Artificial neural network (ANN) model showing the relationship between PM concentration and meteorological parameters has been developed. The performance of the ANN model is evaluated in terms of the correlation coefficient between the real and the forecasted data. The results show strong agreement between the experimental data and the modeled output. The findings of this work are important in understanding fine PM variation inside the mine at the workplace and the associated exposure of mine workers

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“…However, limited studies are available on physico-chemical composition of PM 10 that is responsible for adverse health effects. The sources of PM emission in opencast coal mines include blasting and drilling operations, transportation of coal and overburden on haul roads, coal handling plant operation, loading and transport of overburden and coal by shovel-dumper combination, crushing, conveying, and handling of overburden by draglines, and vehicular emission from unpaved roads (Zhang et al 2013). In addition to the above mentioned sources, coal mine fire has been found to be one of the major sources of PM emission (Pandey et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Carbonaceous species and physicochemical characteristics of PM10 in coal mine fire area—a case study

Roy

Gautam

Singh

et al. 2015

Air Qual Atmos Health

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When exposed to air, coal catches fire due to selfoxidation. Coal mine fire is one of the major sources of particulate matter (PM) emissions in coal mining areas. Coal mine is widespread in India with Jharia Coalfield having a number of coal seams and coal dumps under fire. The understanding of magnitude and character of particulate matter emitted from coal mine fire areas is important in order to understand its health impacts, about which not many studies have been carried out. The paper presents findings of a study aimed to characterize physical and chemical properties of airborne respirable particle (PM 10 ) in the fire-affected area at Jharia Coalfield, India. The study was carried out for a period of 8 months from October 2011 to June 2012. The mean concentrations of PM 10 were 338.0, 369.0, and 357.0 μg m −3 during summer, winter, and post-monsoon, respectively. Scanning electron microscopy (SEM) showed the presence of rounded, spherical, and oval formed particulate in ambient air that is characteristics of combustion sources. Dominance of irregular-shaped particulate in all samples indicated road dust as the source. Abundance of fine PM (<4 mm) indicated burning process to be the source. For the Bqualitative analysis,^techniques like Fourier transform infrared (FTIR) spectroscopy, gas chromatography-mass spectrometry (GC-MS), and inductively coupled plasma optical emission spectrometry (ICP-OES) were used. Chemical analysis shows the presence of elements like Fe, Al, Cu, Si, Na, Cr, Mn, Zn, Cd, Ni, K, and Pb. Anionic concentrations of SO 4 2− , NO 3 − ,Cl − , F − , and PO 4 2− were analyzed using ion chromatography. Carbonaceous aerosol analysis results indicated that concentrations of carbonaceous species were 19.51 μg m − 3 for organic carbon (OC) and 238.0 μg m −3 for elemental carbon (EC) in PM 10 samples.

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Modeling particulate matter emissions during mineral loading process under weak wind simulation

Cited by 45 publications

References 25 publications

The impacts of wind technology advancement on future global energy

The impacts of wind technology advancement on future global energy

Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model

Carbonaceous species and physicochemical characteristics of PM10 in coal mine fire area—a case study

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