Abstract
Introduction. This study addresses the problem of improving the energy efficiency and operational reliability of compressor systems operating under variable loads and changing environmental conditions typical for industrial and mining applications. It is shown that existing operating modes do not fully account for the influence of external factors such as temperature, pressure, and humidity, which leads to increased energy consumption and reduced system performance. Methods. The research methodology is based on a combination of experimental investigations and numerical modeling. Experimental studies were carried out on industrial compressor units under varying environmental conditions, while mathematical modeling was used to analyze thermodynamic processes and evaluate the impact of control strategies. Statistical processing of experimental data ensured the reliability and consistency of the obtained results. Results. The findings demonstrate that a decrease in atmospheric pressure and an increase in ambient temperature lead to a reduction in compressor capacity by up to 15–20% and an increase in specific energy consumption to 0.30–0.32 kWh/m³. It was established that the use of frequency-controlled drives and vector control algorithms reduces energy consumption by 7–14% and improves system efficiency up to approximately 82–83%. Additional results show that adaptive and combined control methods provide the highest energy savings, reaching up to 30–35%, while maintaining stable operating parameters with minimal deviations. Conclusions. It is concluded that the integration of advanced control methods with consideration of climatic and operational factors significantly improves compressor performance and reliability. The proposed approach enables the optimization of operating modes, reduction of energy consumption, and enhancement of system stability, making it applicable for industrial modernization and sustainable development of gas transportation systems.