Performance Optimization of Cold Storage Insulation Materials Integrating Artificial Intelligence

Dawei Li, Tao Li, Dong Xiao, Yuchao Jiang, Jinyuan Li

2025

Abstract

The optimization of energy efficiency of cold storage has always been a key topic in the field of cold chain logistics, especially in the context of energy shortage and increasing environmental pressure, improving the energy efficiency of cold storage and reducing energy consumption is the common goal of most enterprises. to solve the problems of insufficient performance of insulation materials, unstable temperature control and high energy consumption in the traditional cold storage design, this paper proposes an artificial intelligence-based performance optimization model for cold storage insulation materials. The design of this model mainly includes the optimization of heat conduction performance, heat capacity performance, material thickness, sealing performance and dynamic optimization, etc., which aims to comprehensively improve the thermal insulation performance of cold storage and reduce energy consumption. The experimental results show that the heat loss of the cold storage is reduced by 26.7%, the energy efficiency is increased by 16.7%, and the internal temperature fluctuation of the cold storage is reduced by 37.8% based on the performance optimization model of the cold storage integrated with artificial intelligence. In summary, the AI-based optimization model can effectively improve the energy efficiency of cold storage, reduce its energy consumption, and improve the temperature control stability of cold storage.

Paper Citation

in Harvard Style

Li D., Li T., Xiao D., Jiang Y. and Li J. (2025). Performance Optimization of Cold Storage Insulation Materials Integrating Artificial Intelligence. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 109-115. DOI: 10.5220/0013536300004664

in Bibtex Style

@conference{incoft25,
author={Dawei Li and Tao Li and Dong Xiao and Yuchao Jiang and Jinyuan Li},
title={Performance Optimization of Cold Storage Insulation Materials Integrating Artificial Intelligence},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={109-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013536300004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Performance Optimization of Cold Storage Insulation Materials Integrating Artificial Intelligence
SN - 978-989-758-763-4
AU - Li D.
AU - Li T.
AU - Xiao D.
AU - Jiang Y.
AU - Li J.
PY - 2025
SP - 109
EP - 115
DO - 10.5220/0013536300004664
PB - SciTePress