Feasibility Assessment of Heat Flux Sensors for Human-in-the-Loop HVAC Operations
Feasibility Assessment of Heat Flux Sensors for Human-in-the-Loop HVAC Operations
复制标题
热通量传感器在 HVAC 操作环路中的可行性评估
DOI:
10.1061/9780784482445.032
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Diller, Thomas E.
中科院分区:
文献类型:
--
作者:
Jung, Wooyoung;Chan, Matthew;Jazizadeh, Farrokh;Diller, Thomas E.
This study seeks to evaluate the applicability of heat flux sensors, as a proxy for contextual thermal comfort representation in an environment, for the human-in-the-loop (HITL) heating, ventilation, and air conditioning (HVAC) operations. In accounting for personalized thermal comfort inference, the predicted mean vote (PMV) model is not often applicable and data-driven methods using features from ambient environmental conditions have demonstrated moderate accuracies (60–75%). Therefore, the use of physiological sensing for improved performance has gained attention in recent years. Skin temperature has been widely used as an alternative indicator of human heat dissipation adjustment, which could be leveraged for personalized thermal comfort inference. However, considering the heat dissipation adjustments through skin as an adaptation mechanism in an environment, in this study, we have investigated the hypothesis that heat flux sensors could be an effective alternative for enabling feedback from human body to the control system. To this end, we designed and conducted an experimental study on 10 human subjects, wearing a thin-film heat flux sensor on their wrist, under transient thermal conditions (from 20 to 30°C) to investigate the association between human thermal perception and the corresponding heat flux. Through this experiment, the correlations between heat flux, air temperature, relative humidity, and thermal preferences were analyzed. The high correlation factors (0.90 on average) between heat flux and thermal preferences suggest that heat flux sensors have a high potential to be used as an effective sensing modality in the HITL HVAC operation.
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影响因子:
7.4
作者:
Y. Murakami;M. Terano;Kana Mizutani;Masayuki Harada;S. Kuno
通讯作者:
Y. Murakami;M. Terano;Kana Mizutani;Masayuki Harada;S. Kuno
DOI:
--
发表时间:
2016
期刊:
Ubiquitous Computing
影响因子:
--
作者:
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通讯作者:
James Scott
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
S. Shenoy;T. Diller
通讯作者:
T. Diller
影响因子:
9
作者:
F. Jazizadeh;A. Ghahramani;B. Becerik;T. Kichkaylo;M. Orosz
通讯作者:
M. Orosz