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Prediction of temperature evolution in insulated boxes with phase change material by lumped model and excitation-response model.
Number: 18270
Author(s) : LEUNGTONGKUM T., FLICK D., MARGEIRSSON B.
Summary
Insulated boxes with Phase Change Material (PCM) are critical for last-mile food delivery, yet they struggle with temperature management with high temperature and high temperature heterogeneity. This study develops two heat transfer models for a 3-kg expanded Polystyrene boxes containing 200 g gel pack placed on top of 3 kg cod during transportation. The first is a lumped model assuming uniform cod temperature, and the second is an excitation-response model predicting temperature variations at different positions. Three temperature scenarios were examined: static conditions at 5 °C and 21 °C, and a dynamic condition fluctuating between these two temperatures. Experimental validation demonstrated strong correlation between predicted and measured temperatures with the difference less than 2 °C. The lumped model offers insights for optimizing box design, including insulation, PCM configuration and product loading, while the excitation-response model enables precise temperature prediction across the box. These models provide a comprehensive approach to improve thermal performance in food delivery packaging.
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Details
- Original title: Prediction of temperature evolution in insulated boxes with phase change material by lumped model and excitation-response model.
- Record ID : 30034713
- Languages: English
- Source: 9th IIR International Conference on Sustainability and the Cold Chain. Proceedings: April 12-14 2026
- Publication date: 2026/04
- DOI: http://dx.doi.org/10.18462/iir.iccc.2026.8270
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- Source: 7th IIR International Conference on Sustainability and the Cold Chain (Online). Proceedings: April 11-13 2022
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- Source: 7th IIR International Conference on Sustainability and the Cold Chain (Online). Proceedings: April 11-13 2022
- Formats : PDF
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