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Digital Modeling of Quarry Transport to Reduce Fuel and Environmental Costs

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Abstract:

The article presents a digital model for selecting the optimal transport type for hauling dimension stone blocks in quarry operations. The model integrates fuel consumption, transportation cost, block geometry, and pollutant emissions, providing a combined techno-economic and environmental assessment of transportation scenarios. Developed in Google Colab with Python, it ensures flexibility and is linked to Google Sheets for real-time data input without additional software. Key parameters include transport type, road gradient, traction coefficients, equipment productivity, seasonality, fuel use, and emissions of CO₂, NOₓ, SO₂, and PM.The model was tested on production data from the Southern section of the Mezhyrichchia quarry using a CAT 980H wheel loader and a KrAZ-65055 dump truck. Results show that optimized transportation scenarios can cut fuel consumption by up to 31% and reduce costs per 1 m³ by 26%. At the same time, emissions per 1 m³ of commercial stone blocks can be lowered by up to 30% through appropriate equipment selection and reduced idle trips. The model can serve as a decision-support tool in real-time quarry operations, helping minimize fuel overuse and ecological risks. Adapted for small-scale enterprises, it can also be implemented as a mobile application.

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Periodical:

Advances in Science and Technology (Volume 172)

Pages:

45-56

DOI:

https://doi.org/10.4028/p-IHd9SO

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Online since:

January 2026

Authors:

Nina Kyrylenko*, Iryna Patseva, Luidmyla Herasymchuk

Keywords:

CO₂ Emissions, Digital Modeling, Dimension Stone Quarry, Dump Truck, Environmental Efficiency, Transport Operations, Transportation Cost, Wheel Loader

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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