Trolley Trucks in the Mining Industry: Analysis of Current Experience and Prospects for Development in Ukraine

Ivan Nazarov; Maxsym Chebanov

doi:10.4028/p-gJHIV0

Paper Titles

Waste from the Destruction of Industrial and Civil Infrastructure as a Resource in the Post-War Revival of Ukraine
p.187

Comprehensive Development of Secondary Resources in the Context of Sustainable Development and Energy Security in Coal-Mining Regions
p.203

Modeling and Analysis of Hydrodynamics in Filtration Systems
p.215

Results of Research into the Physical and Mechanical Properties of Biopolymer Gravel Composite Block Filters for Hydrogeological Wells
p.226

Trolley Trucks in the Mining Industry: Analysis of Current Experience and Prospects for Development in Ukraine
p.241

Synthesis of a Complex of Mathematical Models of Excavator Use Processes over Time
p.248

Development of a Methodology for the Integrated Use of RTK and Non-RTK Drones to Optimize Surveying Monitoring
p.257

Mixed Electromagnetic Crack-Face Conditions in a Piezoelectric/Piezomagnetic Bimaterial under Antiplane Mechanical Loading and In-Plane Electric Fields
p.267

Application of Canonical Polynomials for Describing the Stress-Strain State of Rotating Disks
p.276

HomeAdvances in Science and TechnologyAdvances in Science and Technology Vol. 172Trolley Trucks in the Mining Industry: Analysis of...

Trolley Trucks in the Mining Industry: Analysis of Current Experience and Prospects for Development in Ukraine

Abstract:

This study analyzes the global experience with trolley-assist haul trucks in mining, substantiates their feasibility for Ukrainian open-pit mines, and develops a mathematical model describing the dependence of economic effect on the electrification coefficient (k_e) of haul roads. The methodology involves analyzing technical and operational data from Canada, Finland, Zambia, and South Africa, adapting it to Ukrainian conditions, and modeling the integral economic effect. The dependence is described by a saturating Hill function, with parameters determined via the least squares’ method using empirical and calculated data. Results show that a combined diesel–trolley system offers an optimal balance between economic efficiency, productivity, and capital costs. The model identifies an optimal k_e range of 0.20–0.40 for Ukraine, achieving 70–80% of the full electrification benefits. The analysis confirms nonlinear growth of the effect and saturation beyond k_e≈0.40. For the first time, global operational data have been integrated with modeling for Ukrainian open pits, producing a tool adaptable to various mining and geological conditions. The methodology supports phased electrification, fuel savings of 25–30%, CO₂ reduction by 20–25%, and substantial productivity gains.