Author(s)

Jun Zhu ¹, Changsheng Chen ¹

Affiliation(s)

¹ School of Thermal Engineering, Shandong Jianzhu University, Jinan, Shandong, China

Corresponding Author

Jun Zhu

ABSTRACT

As global climate change and energy issues become increasingly serious, radiative cooling technology has attracted widespread attention as an environmentally friendly and efficient passive cooling method. This study combines the simulated annealing algorithm and the decision tree algorithm to optimize the design of the radiative cooling system. The simulated annealing algorithm optimizes design parameters (such as reflectivity, emissivity, and thermal conductivity) through global search, while the decision tree algorithm provides feedback for the optimization process by predicting the cooling effects of different design schemes in real time. Experimental results show that this method significantly improves the cooling efficiency of the radiative cooling system and exhibits excellent performance under different parameter conditions. By comparing with other algorithms, the combination of simulated annealing and decision tree shows its unique advantages in multi-objective optimization. This study provides a new optimization idea for the application of radiative cooling technology and has broad practical application potential.

KEYWORDS

Radiative cooling; simulated annealing algorithm; decision tree algorithm; optimization design; cooling efficiency

CITE THIS PAPER

Jun Zhu, Changsheng Chen, Design Optimization of Radiative Cooling System Based on Intelligent Algorithm: Combination of Simulated Annealing and Decision Tree. Advances in Computer, Signals and Systems (2025) Vol. 9: 70-78. DOI: http://dx.doi.org/10.23977/acss.2025.090309.

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