Abstract
The increasing penetration of volatile renewable energy sources necessitates the development of intelligent storage systems and adaptive demand patterns. In an industrial context, addressing this challenge requires detailed insights into the behavior of machinery in response to the short-Term nature of electrical energy demand. This study focuses on the use of an industrial polymer extruder for the mechanical recycling of various material mixtures. To visualize the electricity demand dynamics, an analytical grey-box model has been developed and validated on a small-scale extruder with data collected from a power analyzer and machine operation. The model quantifies key parameters, including thermal dissipation to the environment, thermal transfer between extruder zones, extruder thermal capacity, and power consumption per machine component. The physics-based power consumption model features a root mean square error of 239.3 W and a mean error of 12.7 W for recycling material. Energy-related dynamics of extrusion-based recycling are visualized, and energy efficiency potentials are identified.
| Original language | English |
|---|---|
| Pages (from-to) | 630-635 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 135 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 32nd CIRP Conference on Life Cycle Engineering, LCE 2025 - Manchester, United Kingdom Duration: 7 Apr 2025 → 9 Apr 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
Keywords
- energy consumption monitoring
- energy efficiency
- plastic extrusion
- polymere recycling
- single-screw extruder
- specific energy consumption
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