A web application for emmission reduction in coal mining

This research presents a novel system, called as EcoMineInsight, designed to calculate the carbon footprint of coal mining operations in India and recommend effective remedial measures using machine learning (ML) models. The system integrates multiple carbon footprint calculators to evaluate the environmental impact of coal mining activities, providing users with a comprehensive assessment of their carbon emissions. By leveraging data and advanced ML algorithms, the system analyzes the results and offers personalized recommendations to reduce emissions based on operational practices and technological improvements. This approach not only enhances the accuracy of carbon footprint calculations but also enables actionable insights for emission reduction strategies tailored to the specific needs of Indian coal mines. The research aims to provide an accessible, data-driven tool that supports the transition toward more sustainable mining operations, aligning with global efforts to mitigate climate change and reduce greenhouse gas emissions in the mining industry.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/setcom64758.2025.10932575
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
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article

A web application for emmission reduction in coal mining

S. K. Pawar, Pawan Wawage, Yogesh Deshpande, Vedant Kulkarni et al.
Coal Properties and Utilization
article

A web application for emmission reduction in coal mining

S. K. Pawar, Pawan Wawage, Yogesh Deshpande, Vedant Kulkarni, Mahesh A. Bhandari, S Aher, Sneha Barwal
article en

Abstract

This research presents a novel system, called as EcoMineInsight, designed to calculate the carbon footprint of coal mining operations in India and recommend effective remedial measures using machine learning (ML) models. The system integrates multiple carbon footprint calculators to evaluate the environmental impact of coal mining activities, providing users with a comprehensive assessment of their carbon emissions. By leveraging data and advanced ML algorithms, the system analyzes the results and offers personalized recommendations to reduce emissions based on operational practices and technological improvements. This approach not only enhances the accuracy of carbon footprint calculations but also enables actionable insights for emission reduction strategies tailored to the specific needs of Indian coal mines. The research aims to provide an accessible, data-driven tool that supports the transition toward more sustainable mining operations, aligning with global efforts to mitigate climate change and reduce greenhouse gas emissions in the mining industry.

International Institute of Information Technology (IN)
Openalex Percentile: Top 92%
Coal Properties and Utilization
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