Review Article | Volume 115 (2025) | Published in 2025-07-01
Smart cooling system innovation to reduce building energy use
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Abstract
ABSTRACT
Recently, there has been a surge in interest in creating intelligent building cooling systems that lower energy use and promote environmental sustainability. The low efficiency and excessive energy consumption of conventional cooling systems make the development of sophisticated theoretical concepts necessary to foster innovation in this area. With an emphasis on utilizing contemporary technologies like sensing, artificial intelligence, and data analysis to lower building energy consumption through a theoretical approach founded on mathematical models and well-defined scientific hypotheses, this research attempts to offer an integrated theoretical framework for comprehending and creating smart cooling systems. In order to create a conceptual framework that can be implemented in investigations, the research took a thorough theoretical approach based on the analysis of specialized scientific literature. The findings showed how crucial it is to incorporate smart technologies—like sensing and machine learning-based analysis—with cooling system components in order to improve their capacity to adjust to changing environmental circumstances and attain higher energy efficiency. Innovative theoretical frameworks are essential for advancing technology toward smart cooling systems that are more sustainable and efficient. They give developers a strong scientific basis on which to build theoretical solutions that can lower energy consumption and improve performance while preserving a more sustainable environment. -
References
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10.3390/ani15040592