Smart Management and Optimization of Cooling Floors Using Genetic Algorithms in Kashan City to Combat Extreme Heat

This study investigates the application of genetic algorithms for optimizing cooling floor systems in the city of Kashan. The primary objective of this research is to reduce indoor temperatures and enhance intelligent energy management in response to extreme heat by utilizing floor cooling technologies. Due to its hot and arid climate, Kashan has been selected as a representative example of regions suitable for the implementation of this technology. Genetic algorithms have been employed to determine the optimal combination of materials and thermal properties for cooling floor systems. The findings indicate a significant reduction in energy consumption and indoor temperature, contributing to lower cooling costs and improved adaptation to climatic conditions.

کلیدواژه ها:

Intelligent management ، genetic algorithms ، cooling floor optimization ، extreme heat ، Kashan ، cooling systems ، energy