This article explores the integration of energy-efficient automation into sustainable process management, highlighting how advanced control methods can optimize energy use in industrial processes. It examines key strategies such as Model Predictive Control, adaptive control, fuzzy logic, and distributed control systems, and emphasizes the transformative role of IoT and edge computing in real-time process adjustments. The discussion also addresses challenges related to legacy system integration, cybersecurity, technical expertise, and initial investments. Future trends, including AI integration, digital twins, and renewable energy interfacing, are considered as drivers that could further enhance operational efficiency and environmental sustainability in industrial automation.

energy-efficient automation, sustainable process management, advanced control methods, model predictive control, adaptive control, fuzzy logic control, distributed control systems, renewable energy integration, industrial automation, process optimization, energy management.

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