electrical energy consumption (Zhang et al., 2022; Purhamadani & Bagherpour, 2024; Workman & Eloranta, 2003). This is the Mine-to-Mill approach’s central principle: to substitute, wherever possible, expensive electrical energy in mills for cheap chemical energy in explosives, thereby reducing total energy demand across the entire downstream system (Mining Acuity, 2025). The impacts of optimised blasting propagate throughout the entire production chain. In loading, well-sized fragments reduce excavator cycle times and minimise tooth and bucket wear. In haulage, the absence of irregular oversize blocks eliminates unplanned stoppages for secondary blasting and preserves truck tyre integrity. In crushing and grinding, the combination of reduced fragment size and the presence of micro-fractures lowers the specific comminution work, resulting in lower electrical energy consumption per tonne processed and higher plant throughput (Zhang et al., 2022; Losaladjome Mboyo et al., 2024). Blasting is not merely the first stage in the chain: it is the parameter that sizes and conditions the performance of every subsequent stage. 4.2 Tools for the Future Professional: Modelling, Simulation and Systemic Vision To design blasts with systemic awareness, professionals must master tools that traditional curricula rarely integrate in a coherent manner. The Kuz-Ram model (Cunningham, 1983; 2005) is the most widely used empirical tool worldwide for predicting muckpile fragment size distribution from blast design parameters. When articulated with the Bond model (Bond, 1952), which quantifies electrical energy consumption as a function of feed size and the ore’s Bond Work Index, it becomes possible to calculate the impact of any blasting decision on the processing plant’s energy consumption (Losaladjome Mboyo et al., 2024). Platforms such as JKSimBlast, JKSimMet and OPitblast implement this integration in a professional environment, enabling pit-to-plant simulations at operational timescales. Complementing this technical toolkit are: millimetre-precision electronic detonators, MWD (Monitoring While Drilling) systems for real-time rock mass characterisation, muckpile image analysis via computer vision, and Machine Learning algorithms for fragmentation prediction and adaptive design optimisation (Esen, 2024). 4.3 Blasting as a Concrete Sustainability Parameter As ore grades progressively decline, growing volumes of rock must be processed per tonne of metal produced, proportionally amplifying energy consumption and CO₂ emissions. Comminution already accounts for approximately 2–3% of global electricity consumption (Zhang et al., 2022), a share that will tend to increase as high-grade deposits are exhausted. Purhamadani and Bagherpour (2024) demonstrated that substituting conventional ANFO with higher-energy explosives reduces comminution energy consumption by up to 7.07% and CO₂ emissions by 2.44 g/t. Losaladjome Mboyo et al. (2024) calculated reductions of up to 29% in specific energy consumption and 12% in operating costs achieved solely through blast design optimisation, without any equipment modification. These gains do not depend on new infrastructure investments: they depend on professionals capable of making blast design decisions with full energy and systemic awareness.
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