Analysis of the Use of Rational Electric Vehicle Battery Design as an Example of the Introduction of the Fit for 55 Package in the Real Estate Market

The research provides the determining of the parameters for composite fuel in the operation of technogenic deposits at coal mining enterprises. The qualitative characteristics of technogenic raw materials are determined, and the parameters of technological processes to produce composite fuel are established: preparation (screening or grinding), physical and chemical influence on the state of raw materials, mixing, production, and drying (if necessary) to obtain suitable fuel. Based on the particle size distribution (as well as sedimentation analysis for waste fractions up to 50 μm) and chemical composition (with the determination of moisture, volatile matter, ash, and sulphur content) it was found that the physicochemical parameters for each type of industrial waste, when preparing them for use in the production of composite fuels, have been established. A technological classification of technogenic materials has been developed, which makes it possible to systematize technical issues in the implementation of preparation processes, physical and chemical influences, mixing, production, and drying to obtain suitable fuel.

Section: The Choice Of Object To Studymentioning

confidence: 99%

Determination of composite fuel parameters in the operation of technogenic deposits of coal mining enterprises

Haidai,

Ruskykh,

Koveria

et al. 2024

“…Research on the development of the new indicator was based on drone flights using a DJI Phantom 4 drone equipped with a multispectral camera. The new GRWI index is based on the formula of the GRNDVI (Green Red Normalized Difference Vegetation Index) [30], considering the rededge band (Equation 1). The index takes values from -1 to 1, where values for aquatic areas range from 0.2 to 0.6 [24].…”

Section: Grwi -Green Red Water Indexmentioning

confidence: 99%

Concept for long-term geo-monitoring of the post-mining environment using the example of the Prosper-Haniel mine

Pawlik,

Rudolph

2024

The operation of a mining facility provides a wealth of data, starting from mining licenses, documentation of extracted deposits, tunnel reinforcement methods, to documentation regarding the termination of mining operations, which impacts the natural environment at the local, regional, and supra-regional levels. The results of projects conducted by the Research Center of Post-Mining at the Technical University of Georg Agricola in Bochum present the possibilities of integrating environmental geo-monitoring methods to understand the processes occurring both during and after mining operations. Among the research methods used, spatiotemporal multispectral analyses of satellite imagery and images from drone flights stand out, and these will be presented in this paper. Additionally, in-situ measurements using soil sensors, weather stations, the application of mobile GIS, and three-dimensional modelling of geological structures should be noted. A key aspect of mining process research is the implementation and integration of all available geospatial data, allowing the consideration of post-mining processes as a cycle of interconnected, independent values that, through data analysis and validation, enable a comprehensive understanding.

“…By following these steps and implementing comprehensive noise control measures, mining enterprises can effectively safeguard their workers from the adverse effects of noise exposure while maintaining a safe and healthy work environment. While standard certified measuring instruments are conventionally used to gauge hazardous and harmful factors at work, recent research has demonstrated the feasibility of employing modern information and computer technologies [18,19].…”

Section: Introductionmentioning

confidence: 99%

Determining the impact of noise exposure of mining enterprises’ workers

Petrenko,

Rieznik,

Shevchenko

et al. 2024

This study investigated one of the main harmful factors at work, namely the impact of noise exposure on employees. The study was conducted in several stages. At the first stage, an on-site measurement was carried out using a calibrated sound level meter and a special smartphone application in the immediate vicinity of the ore grinding mill. It was found that the noise level is not constant. At the second stage, a mathematical dependence of the noise measurement results on the mill operating time was obtained to compare the measurement accuracy of the sound level meter and the app. As a result, it was determined that the application has sufficient accuracy compared to the calibrated instrument. The third stage resulted in the calculation of the risk of hearing loss for employees from noise exposure at workplaces based on the measurements of the calibrated sound level meter. The calculations showed that the level of this risk is high. At the fourth stage, personal protective equipment was selected using the relevant guidelines from NIOSH and EU-OSHA, as well as considering the results of field measurements, the maximum permissible noise level established by state sanitary standards, and the level of hearing loss risk.