This paper addresses the challenge of enhancing energy efficiency in the utilization of methane from coal mines to support the sustainable development of geotechnologies, particularly in the transition to cleaner, resource-efficient energy production. This issue is critical because the anthropogenic impact of methane emissions from coal mines on global climate change is 21 times greater than that of carbon dioxide. Coal seams rich in gas and the adjacent rocks are to be classified as technogenic coal-gas deposits, with the extracted gas viewed as an alternative energy resource. Current methods for managing coalmine methane require improvement, as the existing "mine-longwall" approach does not adequately consider the spatial and temporal specifics of the production face's advancement. This gap is particularly relevant in the context of environmentally friendly coal mining. The aim of this study is to uncover patterns that illustrate the non-linear dynamics of methane release in underground boreholes, thereby fostering the sustainable development of geotechnologies through improved quality of the extracted methane-air mixture.

The article shows the development of coal fines briquetting using composite materials from local raw materials and production waste. Based on a deep study of the structure and physico-chemical properties of selected organic and inorganic ingredients from local and secondary raw materials, the patterns of formation of the physico-chemical and strength properties of coal briquettes based on them, depending on the nature, type, content and ratio of organo- mineral ingredients, have been established.

This study employs a robust Ordinary Least Squares (OLS) framework to investigate the relationship between Gross Domestic Product (GDP) and CO2 emissions from 1990 to 2022. Two models are estimated: Model 1 regresses total CO2 emissions on GDP, while Model 2 examines individual CO2 sources (cement, coal, flaring, gas, and oil) as functions of GDP. The analysis includes exploratory data visualization (pairwise scatterplot matrices and time series plots), diagnostic tests for autocorrelation and heteroskedasticity, and robust standard errors to ensure reliable inference. Results reveal significant positive associations between GDP and cement and coal emissions, a negative association with oil emissions, and no significant relationship with gas emissions. Autocorrelation is detected, suggesting the need for time series adjustments. This comprehensive methodology provides a robust foundation for understanding the economic-environmental nexus.

The article presents data on the production of lightweight aggregates based on local unexpanded clays and industrial wastes. The granulometric composition of the clay was studied in more complex plasec in the Samarkand and Kashkadarya regions. The optimal composition of clay and coal was determined, the temperature of the shot was determined.