Energy Efficiency across your plant

Abstract

Energy efficiency has become a central pillar of sustainable manufacturing, which is driven by two pressure points, rising energy costs and global environmental commitments. In the food and beverage industry where energy intensive operations such as heating, homogenizing, and filling are standard, optimizing energy use is not only a matter of cost savings but also of regulatory compliance and brand reputation.

Tetra Pak is known for its innovative approach to processing and packaging systems, design, develop and provided operational and complex solutions for customers, where automation and digital control systems are already deeply integrated. However, it has been highlighted that a significant gap remains in energy transpar-ency at machine level within an operational facility. Most plants rely on centralized or aggregated energy me-tering, which provides a reasonable level of insight but lacks the resolution needed to identify inefficiencies at equipment or process level. As a result of this energy optimization efforts fall short, limited by insufficient data and poor visibility into specific energy consumption patterns.

Advancements in IoT (Internet of things) technologies present a robust framework to bridge operational data gaps. Through the deployment of distributed sensors networks and intelligent edge computing devices real-time telemetry can be captured from individual assets across the production environment. When integrated with high performance data analytics platforms and visual systems, this architecture enables the transfor-mation of raw energy consumption metrics into useable / operational intelligence. This change in basic as-sumptions facilitates a transition which could potentially allow real time analytics of energy data and plant and production level enabling precise monitoring, control, and optimization.

This feasibility study explores the application of an IoT based energy monitoring system tailored for Tetra Pak and its customers who operate their production filling and processing equipment. The proposed solution fo-cuses on cost effective, modular, and scalable technologies that can integrate existing plant automation sys-tems across the plant level from raw product in, through production and out to the packed product. The goal is to demonstrate how detailed machine level energy data can unlock measurable improvements in efficiency, support compliance with standards such as ISO 50001, ISO 14001 and IEC 62443 principle’s as well (Interna-tional Organization for Standardization 2018 International Electrotechnical Commission, 2018) as contributing towards long term sustainability targets.

The study evaluates the potential system from various dimensions, technical, economic, operational legal and environmental. Offering a comprehensive roadmap to a potential solution for implementation. It also will ex-amine key risks and mitigations, outline deployment strategies and provides a “prototype” to demonstrate core concepts.

By focusing on energy efficiency across the plant through the lens of IoT, this work will align with both indus-try trends and corporate responsibility setting a foundation for smarter and more sustainable production envi-ronments.