Time length of adaptation phase for subjective thermal environment evaluation based on thermal stability time

Zhang, Sheng; Jiang, Jinghua; Lin, Zhang

doi:10.1016/j.buildenv.2024.112283

Building and Environment

2025

DOI: 10.1016/j.buildenv.2024.112283

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Time length of adaptation phase for subjective thermal environment evaluation based on thermal stability time

Sheng Zhang,

Jinghua Jiang,

Zhang Lin

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2025

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Cited by 2 publications

References 45 publications

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Mechanisms of energy efficiency of supply momentum-driven stratified thermal environment with exhaust and return vents isolated by supply vent

Zhang,

Jiang,

et al. 2025

Building and Environment

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Mechanisms of energy efficiency of supply momentum-driven stratified thermal environment with exhaust and return vents isolated by supply vent

Zhang,

Jiang,

et al. 2025

Building and Environment

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Modeling Supply Air Jet of Split Air Conditioner Based on Abramovich Jet Theory and Bayesian Markov Chain Monte Carlo Algorithm

Li,

Ling,

Wang

et al. 2024

Buildings

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Aim: This study aims to develop supply air jet models for split air conditioners. Background: Designing and operating an air conditioning system based on the unique characteristics of the supply air jet is essential to control the draft risk. Motivation: Due to the distinct differences in air supply characteristics of the split air conditioners caused by the intermittent operation and the complex design of supply air outlets, the existing supply air jet models designed for central air conditioning systems are unsuitable for split air conditioners. Significant results: In this study, models for the trajectory position, velocity, and temperature of the supply air jet for split air conditioners are established based on the Abramovich jet theory and Bayesian Markov Chain Monte Carlo (MCMC) algorithm. The effectiveness of the proposed models is demonstrated via comparison with the training dataset from the experimentally validated Computational Fluid Dynamics simulation of a split air conditioner. For the model testing dataset, the RMSEs of trajectory position, velocity, and temperature are 0.01 m, 0.09 m/s, and 0.09 °C, respectively, with a low supply air velocity and 0.01 m, 0.25 m/s, and 0.03 °C with a high supply air velocity. The proposed models of velocity and temperature of the supply air jet are general for various supply air conditions, while coefficients in the trajectory position model of the supply air jet need to be recalibrated with the proposed Bayesian MCMC algorithm for different supply air conditions. The proposed models provide valuable guidance for the operation of split air conditioners.

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Time length of adaptation phase for subjective thermal environment evaluation based on thermal stability time

Cited by 2 publications

References 45 publications

Mechanisms of energy efficiency of supply momentum-driven stratified thermal environment with exhaust and return vents isolated by supply vent

Mechanisms of energy efficiency of supply momentum-driven stratified thermal environment with exhaust and return vents isolated by supply vent

Modeling Supply Air Jet of Split Air Conditioner Based on Abramovich Jet Theory and Bayesian Markov Chain Monte Carlo Algorithm

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