Assessment of Environmental Pollution in Cement Plant Areas in Romania by Co-Processing Waste in Clinker Kilns

Ciobanu, Cristian; Tudor, Paula; Istrate, Irina Aura; Voicu, Gheorghe

doi:10.3390/en15072656

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…These adverse effects could be transmitted to humans by direct (air inhalation) and indirect ways (distribution in soil, water, etc.). According to the literature, respiratory, gastrointestinal, lymphatic, and central nervous system impairments are the most reported health issues caused by the aforementioned pollutants [16,31,33,34]. Figure 2 describes the drawbacks of cement complexes dealing with environmental prob-lems.…”

Section: Overview Of Pollution Emission From Cement Industriesmentioning

confidence: 99%

“…Meanwhile, applying fossil fuels has been assumed as a critical resource for environmental pollution via emitting greenhouse gasses and heavy metals (e.g., mercury, lead, and cadmium) into the atmosphere. Hence, global warming issues and ecologically sustainable development suggest recycling the applied fossil fuels or substituting them with alternative ones [16,32,55,56].…”

Section: Emissions From Fuel Consumptionmentioning

confidence: 99%

“…The released wastewater and solid wastes can pollute the soil, drinking water, and agricultural products, which impact human life indirectly. Therefore, the prediction, monitoring, and treatment of the resulting pollution from cement plants have been initiated for several years [16,17]. It is noteworthy that solar calcination has been extremely focused in developed countries in recent years to dramatically reduce CO 2 emissions.…”

Section: Introductionmentioning

confidence: 99%

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A Review on Pollution Treatment in Cement Industrial Areas: From Prevention Techniques to Python-Based Monitoring and Controlling Models

et al. 2022

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Anthropogenic climate change, global warming, environmental pollution, and fossil fuel depletion have been identified as critical current scenarios and future challenges. Cement plants are one of the most impressive zones, emitting 15% of the worldwide contaminations into the environment among various industries. These contaminants adversely affect human well-being, flora, and fauna. Meanwhile, the use of cement-based substances in various fields, such as civil engineering, medical applications, etc., is inevitable due to the continuous increment of population and urbanization. To cope with this challenge, numerous filtering methods, recycling techniques, and modeling approaches have been introduced. Among the various statistical, mathematical, and computational modeling solutions, Python has received tremendous attention because of the benefit of smart libraries, heterogeneous data integration, and meta-models. The Python-based models are able to optimize the raw material contents and monitor the released pollutants in cement complex outputs with intelligent predictions. Correspondingly, this paper aims to summarize the performed studies to illuminate the resultant emissions from the cement complexes, their treatment methods, and the crucial role of Python modeling toward the high-efficient production of cement via a green and eco-friendly procedure. This comprehensive review sheds light on applying smart modeling techniques rather than experimental analysis for fundamental and applied research and developing future opportunities.

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Section: Overview Of Pollution Emission From Cement Industriesmentioning

confidence: 99%

Section: Emissions From Fuel Consumptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Review on Pollution Treatment in Cement Industrial Areas: From Prevention Techniques to Python-Based Monitoring and Controlling Models

et al. 2022

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“…Not only is it safe and efficient, but also has high detection accuracy [14]. Machine vision inspection technology is composed of three aspects: image acquisition, software image processing, and image analysis [15][16][17]. The image acquisition part is mainly to select a suitable light source, professional camera, and lens to realize the picture acquisition of the sample.…”

Section: Introductionmentioning

confidence: 99%

Application of machine vision technology in defect detection of high-performance phase noise measurement chips

Zhou

2023

3C Tecnología

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The problem of chip defects has always existed in industrial production, and since there are more and more environmental problems caused by chip defects, people have attached greater importance to the identification and detection of chip defects. Pursuant to the ecological environmental problems caused by chip defects in the process of chip production, this paper uses machine vision technology to detect the defects of high-performance phase noise measurement chips. The results suggest that the accuracy of machine vision technology for the identification of chip defects reaches up to 98%. The production volume of organic waste gas decreases from 5968.0t/a to 4000t/a. The yield of organic wastewater decreases from 5496m3/d to 4600m3/d. The production amount of solid waste reduces from 8000t/a to 6500t/a. The aforementioned data all confirm that machine vision technology has the advantages of automation, high detection efficiency, and high accuracy of defect identification for the defect detection of high-performance phase noise measurement chips. And also, by improving the chip defects, the discharge volume of waste gas, wastewater, and solid waste in the chip production process is reduced, and thereupon the ecological environment is ameliorated.

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“…Other sources of pollutant emissions also influence the concentration of pollutants in the air, including road transport emitting particles from tire wear [25], heating systems and thermal power plants emitting particulates and toxic gases [26], cement industry [27], field work (plowing, harvesting), biomass transport [28] and open pit coal mines emitting dust and gases [29].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Possibilities to Improve Filtration Efficiency of Tangential Inlet Return Cyclones by Modification of Their Design

Dziubak

2022

Energies

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It has been shown that tangential inlet return cyclones are commonly used for inlet air filtration of off-road vehicle engines. The wear of the engine elements, and thus their durability, is determined by the efficiency and accuracy of the inlet air filtration. It has been shown that the possibilities of increasing the separation efficiency or decreasing the pressure drop of a cyclone by changing the main dimensions of the cyclone are limited, because any arbitrary change in one of the dimensions of an already operating cyclone may cause the opposite effect. A literature analysis of the possibility of increasing the filtration efficiency of cyclones by modifying the design of selected cyclone components was conducted. In this paper, three modifications of the cyclone design with a tangential inlet of the inlet air filter of a military tracked vehicle were proposed and performed. The symmetrical inlet of the cyclone was replaced with an asymmetrical inlet. The cylindrical outlet tube was replaced with a conical tube, and the edges of the inlet opening were given an additional streamlined shape. The modification process was carried out on three specimens of the reversible cyclone with a tangential inlet. After each modification, an experimental evaluation of the modifications was carried out. The influence of the modifications on the cyclone’s efficiency characteristics and pressure drop was examined. Subsequent modifications of the cyclone were performed on the same specimen without removing the previous modifications. Tests were performed in the air flow range QG = 5–30 m3/h. Polydisperse “fine” test dust with grain size dpmax = 80 µm was used for testing. The dust concentration at the cyclone inlet was set at 1 g/m2. The performed modifications caused a slight (about 1%) increase in separation efficiency in the range of small (up to QG = 22 m3/h) flux values and about 30% decrease in pressure drop in the whole range of the QG flux, which positively influences the increase in engine filling and its power. There was a noticeable increase in filtration accuracy in the range of low and high values of QG flux, which results in a decrease in the wear of engine components, especially the piston-piston ring-cylinder (P-PR-C) association, and an increase in their durability.

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Assessment of Environmental Pollution in Cement Plant Areas in Romania by Co-Processing Waste in Clinker Kilns

Cited by 6 publications

References 20 publications

A Review on Pollution Treatment in Cement Industrial Areas: From Prevention Techniques to Python-Based Monitoring and Controlling Models

A Review on Pollution Treatment in Cement Industrial Areas: From Prevention Techniques to Python-Based Monitoring and Controlling Models

Application of machine vision technology in defect detection of high-performance phase noise measurement chips

Experimental Investigation of Possibilities to Improve Filtration Efficiency of Tangential Inlet Return Cyclones by Modification of Their Design

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