Smart Energy Management and Automation Systems: Emerging Directions in Manufacturing and the Oil–Gas–Chemical Industries
DOI:
https://doi.org/10.62486/978-9915-9851-0-7_202636Keywords:
Internet of Things, energy monitoring, manufacturing, edge computing, predictive maintenance, sustainability, Industry 4.0Abstract
In the wake of changes in industrial engineering, the manufacturing, oil-gas-chemical sectors have rapidly adopted smart energy management coupled with automation technologies. Although these fields have mostly taken different technological routes, the need to reduce operational costs, increase the system's reliability, and meet strict sustainability requirements has led to a considerable blending of these technologies. This review consolidates the innovations in smart monitoring, real-time control, and predictive optimization that are largely driven by digital platforms, sensor-equipped infrastructures, and data-driven decision-making frameworks. This framework includes three layers of the proposed architecture which is device, edge and cloud, encompassing automation devices and sensors, a secure communication protocol (MQTT, OPC-UA, Modbus TCP/IP) and AI analytic for big data handling. This research provides a structured analysis of various topics, including implementation processes, data veracity, cyber security, and case studies involving automotive and pharmaceutical sectors. The Energy Management System (EMS) based on IoT systems provides a reduction in energy use of between 18-25%, a reduction in downtime of about 22-35%, and a reduction in maintenance costs of about 15-30%. The paper concludes with discussions on barriers to adoption including interoperability of legacy systems, veracity of data, and developing an effective human-machine interface. In addition, we share our thoughts on the integration of renewable energy systems, digital twins, and predictive maintenance systems .The results agree that a manufacturing facility can achieve a ROI within 8-14 months and meet its sustainability targets with respect to an ISO 5001 Organizational Energy Management System (EnMS) and UN Sustainable Development Goal (SDG) invitations aligned with the study.
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Copyright (c) 2026 Hariprasad Perumal , Jeevarathinam A, Karan R, Jegan Karthik S , Gokulnath P, Prabhu P, Malikov Ziyodullo Abdurayim (Author)
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