Neutral temperature in subtropical climates—A field survey in air-conditioned offices

Mui, Kwok Wai; Wong, Ling Tim

doi:10.1016/j.buildenv.2005.10.021

Cited by 65 publications

(69 citation statements)

References 15 publications

(23 reference statements)

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“…Preferred temperature does not often correspond to thermal neural temperature. The neutral temperatures were 21.4 • C T op and 23.6 • C T op and the preferred temperatures were 20.5 • C T op and 22.6 • C T op for winter and summer in Hong Kong, respectively (Mui and Wong 2007). The difference between thermal neutral temperature and preferred temperature in this study was 1 • C T op , which was similar to the study of Mui and Wong (2007).…”

Section: Preferred Temperaturesupporting

confidence: 80%

Investigation of indoor environmental quality in Shanghai metro stations, China

Lian

Jiang

et al. 2009

Environ Monit Assess

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A field study was carried out in Shanghai metro stations to gather and evaluate information about the real environment. The thermal environment and particulate matter levels were monitored in this study. The mean thermal sensation vote in metro stations was 0.91, and the mean thermal neutral temperature was 20.6 degrees C. Although 92.1% of subjects voted that the thermal environment was acceptable, the condition of air quality in Shanghai metro stations was not good. The mean levels of PM1.0, PM2.5, and PM10 were 0.231+/-0.152, 0.287+/-0.177, and 0.366+/-0.193 mg/m3, respectively. The contribution of PM1.0 to PM2.5 and PM2.5 to PM10 was up to 79% and 76%, respectively. This means that fine particles or ultrafine particles constituted the preponderant part of metro station particulate matter.

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Section: Preferred Temperaturesupporting

confidence: 80%

Investigation of indoor environmental quality in Shanghai metro stations, China

Lian

Jiang

et al. 2009

Environ Monit Assess

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“…The neutral temperature is obtained by solving Eq. (14.1) for a mean thermal sensation vote of zero, and the neutral air temperature t n = 20.9°C, which is slightly lower than the result of Hong Kong [13] and Chongqing [14]. Results comparison is shown in Table 14.2.…”

Section: The Neutral Temperaturementioning

confidence: 81%

Field Study and Adaptive Equation of Thermal Comfort in University Classrooms in the Subtropics in Winter

Tao

2013

Lecture Notes in Electrical Engineering

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In order to study the indoor thermal comfort in the winter of subtropics region in which there is no heat supply system, field study of indoor thermal comfort was carried out in classrooms of a university in Xiamen. Data both from field measurements and questionnaire survey were collected and analyzed. Consequently, the neutral and preferred temperatures in the winter of Xiamen were obtained, which show slightly difference with previous studies across China. On the other hand, predicted mean vote (PMV), which was calculated by Thermal Comfort Program software, shows some deviations from the mean thermal sensation (MTS) summarized from questionnaires statistics. Finally, by using multivariate nonlinear regression model based on MATLAB, a new adaptive equation was developed, which could be used to predict the thermal response in classrooms in subtropics region. In addition, it was found that the predicted equation fits very well with the collected data, which reflects variation of thermal sensation in winter. Results from this study provide guidance for the measurement and prediction of thermal comfort in winter of the subtropics region.

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“…Such an index is used to assess the space or building comfort against defined levels. Examples for such methods can be found in [13][14][15][16][17].  Objective criteria: objective measurements are compared with a fixed set of values, considering also for how long a value is observed to define in which category the space/building falls in with respect to a single IEQ factor or to the overall IEQ.…”

Section: Ieq Factors Evaluation: Objective and Subjective Methodsmentioning

confidence: 99%

Linear, Non-Linear and Alternative Algorithms in the Correlation of IEQ Factors with Global Comfort: A Case Study

2014

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Indoor environmental quality (IEQ) factors usually considered in engineering studies, i.e., thermal, acoustical, visual comfort and indoor air quality are individually associated with the occupant satisfaction level on the basis of well-established relationships. On the other hand, the full understanding of how single IEQ factors contribute and interact to determine the overall occupant satisfaction (global comfort) is currently an open field of research. The lack of a shared approach in treating the subject depends on many aspects: absence of established protocols for the collection of subjective and objective measurements, the amount of variables to consider and in general the complexity of the technical issues involved. This case study is aimed to perform a comparison between some of the models available, studying the results of a survey conducted with objective and subjective method on a classroom within University of Roma TRE premises. Different models are fitted on the same measured values, allowing comparison between different weighting schemes between IEQ categories obtained with different methods. The critical issues, like differences in the weighting scheme obtained with different IEQ models and the variability of the weighting scheme with respect to the time of exposure of the users in the building, identified during this small scale comfort assessment study, provide the basis for a survey activity on a larger scale, basis for the development of an improved IEQ assessment method.

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Neutral temperature in subtropical climates—A field survey in air-conditioned offices

Cited by 65 publications

References 15 publications

Investigation of indoor environmental quality in Shanghai metro stations, China

Investigation of indoor environmental quality in Shanghai metro stations, China

Field Study and Adaptive Equation of Thermal Comfort in University Classrooms in the Subtropics in Winter

Linear, Non-Linear and Alternative Algorithms in the Correlation of IEQ Factors with Global Comfort: A Case Study

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