Advancing understanding of indoor conditions using artificial intelligence methods DOI
Nicholas Christakis, Dimitris Drikakis, Ioannis W. Kokkinakis

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(1)

Published: Jan. 1, 2025

This study presents a novel methodology for optimizing probe placement in indoor air-conditioned environments by integrating computational fluid dynamics simulations with artificial intelligence techniques an unsupervised learning framework. The “Reduce Uncertainty and Increase Confidence” algorithm identified spatially distinct thermal velocity clusters based on temperature magnitude distributions. Optimization of positions within these clusters, guided sequential least squares programing, resulted effective strategy to minimize redundancy while maximizing spatial coverage. highlights the interplay between temperature, relative humidity, velocity, turbulence intensity, revealing critical insights into airflow behavior its implications occupant comfort. findings presented underscore potential targeted provide robust framework advanced climate control.

Language: Английский

Advancing understanding of indoor conditions using artificial intelligence methods DOI
Nicholas Christakis, Dimitris Drikakis, Ioannis W. Kokkinakis

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(1)

Published: Jan. 1, 2025

This study presents a novel methodology for optimizing probe placement in indoor air-conditioned environments by integrating computational fluid dynamics simulations with artificial intelligence techniques an unsupervised learning framework. The “Reduce Uncertainty and Increase Confidence” algorithm identified spatially distinct thermal velocity clusters based on temperature magnitude distributions. Optimization of positions within these clusters, guided sequential least squares programing, resulted effective strategy to minimize redundancy while maximizing spatial coverage. highlights the interplay between temperature, relative humidity, velocity, turbulence intensity, revealing critical insights into airflow behavior its implications occupant comfort. findings presented underscore potential targeted provide robust framework advanced climate control.

Language: Английский

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