The method of analyzing the results of dust concentration measurements in mine workings that was conducted within the ROCD (Reducing risks from Occupational exposure to Coal Dust) European project using the developed dust prediction algorithm is presented. The analysis was based on the measurements of average dust concentration with the use of the CIP-10R gravimetric dust meters, for the respirable PM4 dust concentration, and IPSQ analyzer for instantaneous concentration measurements (including PM2.5 dust) and with the use of Pł-2 optical dust meters for instantaneous concentration measurements of PM10 dust. Based on the analyses of the measurement results, the characteristics of the distribution of PM10, PM4, and PM2.5 dust particles were developed for the tested dust sources. Then, functional models based on power functions were developed. The determined models (functions) allow predicting the dust distribution in such conditions (and places) for which we do not have empirical data. The developed models were implemented in a specially developed online tool, which enables predicting the concentration of PM10, PM4, and PM2.5 dust (on the basis of dust concentration of one source) at any distance from the dust source.

In an overwhelming number of cases, the closure of a coal mine in Poland, for safety reasons, requires the installation of a pumping station and systems for the drainage of inflowing water due to its connection via roadways, goaves, or water-leaking pillars with other adjacent active mines. Due to operational costs, stationary pumping stations are being replaced with submersible pumping stations, wherever the geological/mining conditions allow this. The key factors to be considered when designing a submersible pumping station include the estimated water influx and the storage and emergency reservoir fill-up time. If the water level in the emergency reservoir exceeds the level of the maximum ordinate, there is the risk of water flooding an adjacent active mine, which poses a serious safety risk to this mine. A pumping station design must ensure that water can be pumped out also in emergency situations and must ensure permanent control over the level of the water table. The pumped-out water, after potential treatment, can be utilized as technological water in industrial plants. In the designed pumping station, it is also feasible to establish underground pumped-storage hydropower. This would enable the storage of energy from renewable sources, thereby contributing to CO₂ emission reduction.

This article deals with the design, development, and analysis of a wireless power transfer system prototype based on capacitive coupling. The system is intended for the continuous charging of a suspended mine drivetrain. It consists of a resonant inverter, primary and secondary matching circuits, a suitable capacitive coupler, and a rectifier with a load, ultimately serving as a battery charger for a mobile energy storage device. The system successfully achieved the target output voltage of 320 V and a charger output power of 2 kW at an operating frequency of 300 kHz. Additionally, the total system efficiency was at the level of 60%, ensuring that the RMS voltages on passive components remained below 3 kV.

The subject of the discussion is oriented toward limiting the energy consumption of the bucket conveyor used in jig concentrator plants by controlling its speed. A method of predictive control of the bucket conveyor speed is presented. It allows for reducing the energy consumption due to appropriate selection of bucket movement speed to ensure the nominal filling of buckets along the entire length of the conveyor. This approach enables limiting the idling speed of the conveyor, extend its life, and also reduce the electricity consumption of the entire system. Experimental studies, carried out at the “Sośnica” Coal Mine working facility, confirmed that the use of a predictive algorithm for controlling the bucket conveyor speed and adapting the bucket speed to the current load decreased in energy consumption n by 9.6%, with 80% of the filling conveyor.