RELATIONSHIPS BETWEEN OVERALL THERMAL SENSATION, ACCEPTABILITY AND COMFORT

Similar documents
Determination of the Acceptable Room Temperature Range for Local Cooling

UC Berkeley Indoor Environmental Quality (IEQ)

Subjective Thermal Comfort in the Environment with Spot Cooling System

MEASUREMENT OF THE AIRFLOW AND TEMPERATURE FIELDS AROUND LIVE SUBJECTS AND THE EVALUATION OF HUMAN HEAT LOSS

Principles and Applications of Building Science Dr. E Rajasekar Department of Civil Engineering Indian Institute of Technology, Roorkee

OPERATIVE TEMPERATURE SIMULATION OF ENCLOSED SPACE WITH INFRARED RADIATION SOURCE AS A SECONDARY HEATER

CAE 331/513 Building Science Fall 2017

Modeling Human Thermoregulation and Comfort. CES Seminar

UC Berkeley Indoor Environmental Quality (IEQ)

ISO 7730 INTERNATIONAL STANDARD

Thermal behavior and Energetic Dispersals of the Human Body under Various Indoor Air Temperatures at 50% Relative Humidity

Air Diffusion Designing for Comfort

Environmental Engineering

STUDY ON THE THERMAL PERFORMANCE AND AIR DISTRIBUTION OF A DISPLACEMENT VENTILATION SYSTEM FOR LARGE SPACE APPLICATION

MODELLING THERMAL COMFORT FOR TROPICS USING FUZZY LOGIC

Aalborg Universitet. Comparison between Different Air Distribution Systems Nielsen, Peter Vilhelm. Publication date: 2006

Thermal comfort, physiological responses and performance during exposure to a moderate temperature drift

Thermal comfort during temperature cycles induced by direct load control events

THERMAL COMFORT DURING CYCLICAL.TEMPERATURE FLUCTUATIONS

Physiological Response of Human Body and Thermal Sensation for Irradiation and Exercise Load Changes

Thermal Analysis of a Passenger-Loaded Vehicle in Severe Winter Conditions

THERMAL COMFORT IN HIGHLY GLAZED BUILDINGS DETERMINED FOR WEATHER YEARS ON ACCOUNT OF SOLAR RADIATION. Dominika Knera 1 and Dariusz Heim 1

Prediction of Thermal Comfort and Ventilation Efficiency for Small and Large Enclosures by Combined Simulations

Analysis of Natural Wind Characteristics and Review of Their Correlations with Human Thermal Sense through Actual Measurements

Does a Neutral Thermal Sensation Determine Thermal Comfort?

THE EVALUATION ON INDOOR THERMAL COMFORT INDEX

BSE Public CPD Lecture Numerical Simulation of Thermal Comfort and Contaminant Transport in Rooms with UFAD system on 26 March 2010

AN OCCUPANT BEHAVIOR MODEL BASED ON ARTIFICIAL INTELLIGENCE FOR ENERGY BUILDING SIMULATION

EXPERIMENTAL ANALYSIS OF AIR-CONDITIONING IN HOSPITAL ROOMS BY MEANS OF LIGHT RADIANT CEILINGS

Available online at ScienceDirect. Procedia Engineering 121 (2015 )

ROOM AVERAGE VELOCITY EQUATION A TOOL TO IMPROVE DESIGN OF THERMAL COMFORT CONDITIONS

THERMAL COMFORT UNDER TRANSIENT METABOLIC AND DYNAMIC LOCALIZED AIRFLOW CONDITIONS COMBINED WITH NEUTRAL AND WARM AMBIENT TEMPERATURES.

AN IMPROVED MULTINODE MODEL OF HUMAN PHYSIOLOGY AND THERMAL COMFORT

ASSESSMENT OF THERMAL SENSATION OF RESIDENTS IN THE SOUTHERN GREAT PLAIN, HUNGARY

AN APPROACH TO THE MODELLING OF A VIRTUAL THERMAL MANIKIN

Healthy Buildings 2017 Europe July 2-5, 2017, Lublin, Poland

THE THERMAL ENVIRONMENT LEVEL ASSESMENT BASED ON HUMAN PERCEPTION

Indoor Environment Quality. Study the world Capture the elements Environmental testing made easy. MI 6201 Multinorm. MI 6401 Poly.

Predicting Individual Thermal Comfort using Machine Learning Algorithms

AN APPROACH TO THE MODELLING OF A VIRTUAL THERMAL MANIKIN

Energy and Buildings

INDIAN INSTITUTE OF TECHNOLOGY ROORKEE NPTEL NPTEL ONLINE CERTIFICATION COURSE. Refrigeration and Air-conditioning. Lecture-37 Thermal Comfort

Neural computing thermal comfort index for HVAC systems

THERMODYNAMIC ASSESSMENT OF HUMAN THERMAL ENVIRONMENT INTERACTION

THE EVALUATION OF MOISTURE PERMEABILITY FOR WATERPROOF BREATHABLE OVERCOAT ON WEARING CONDITON

Application and Analysis of Asymmetrical Hot and Cold Stimuli

Human Thermal Comfort Study Based on Average Skin Temperature

Evaluation of the Convective Heat Transfer Coefficient of the Human Body Using the Wind Tunnel and Thermal Manikin

A Simulation Tool for Radiative Heat Exchangers

Thermal Comfort. Appendices: A: Dry Heat Loss calculations. file://k:\marketing\homepage\gammel%20homepage\website\books\thermal\therm...

Assignability of Thermal Comfort Models to nonstandard

THERMAL COMFORT SIMULATION IN MODERN AIRCRAFT COCKPITS

Numerical Simulation of the Air Flow and Thermal Comfort in Aircraft Cabins

Detailed multi-node model of human physiology to predict dynamic thermal comfort responses

Quality of life and open spaces: A survey of microclimate and comfort in outdoor urban areas

EXPERIMENT AND SIMULATION OF RADIANT/CONVECTIVE SPLIT FROM PASSENGER IN AIRCRAFT CABINS

APPENDIX A. Guangzhou weather data from 30/08/2011 to 04/09/2011 i) Guangzhou Weather Data: Day 242 (30/08/2011) Diffuse Solar Radiation (W/m2)

Area1 Scaled Score (NAPLEX) .535 ** **.000 N. Sig. (2-tailed)

THE HUMAN THERMAL COMFORT EVALUATION INSIDE THE PASSENGER COMPARTMENT

Outdoor Thermal Comfort and Local Climate Change: Exploring Connections

Numerical Simulation of the Air Flow and Thermal Comfort in a Train Cabin

Analysis on Variations of Energy Load for Applications of Double Skin Envelope Systems in Buildings

NUMERICAL ANALYSIS OF THERMAL COMFORT PARAMETERS IN LIVING QUARTERS

Personalizing Thermal Comfort in a Prototype Indoor Space

DEVELOPEMENT OF MODIFIED THERMAL COMFORT EQUATION FOR A ROOM WITH WINDOW OPENINGS AT ADJACENT WALLS

A numerical model for simulating thermal comfort prediction in public transportation buses

PROCESS CONTROL FOR THERMAL COMFORT MAINTENANCE USING FUZZY LOGIC

Ch. 12 Human Thermal Comfort and Indoor Air Quality

Effect on human metabolic rate of skin temperature in an office occupant

A Numerical Analysis of Indoor Thermal Environment and Human Thermophysiological Responses under Natural Ventilation S. Iizuka 1,*, T. Sakoi 2, T. Sai

machine design, Vol.9(2017) No.3, ISSN pp

Thermal notations as a design tool - evaluating the thermal comfort of pedestrians moving in spatial sequences

CFD as a Tool for Thermal Comfort Assessment

EE-489 Modeling Project: Behavior of the. Temperature Changes in a Room

HD32.2 WBGT Index HD 32.2 INSTRUMENT FOR THE ANALYSIS OF THE WBGT INDEX

HEAT ACCLIMATIZATION GUIDE

HD32.2 WBGT Index HD32.3 WBGT-PMV. [ GB ] - WBGT index. - PMV index and PPD

The impact of cultural and climatic background on thermal sensation votes

Thermal Comfort, Weather-Type, and Consumer Behavior: Influences on Visitor Attendance at Four U.S. Metropolitan Zoos

Numerical simulation of human thermal comfort in indoor environment

Individualisation of virtual thermal manikin models for predicting thermophysical responses

Perception and Sensitivity to Horizontal Turbulent Air Flows at the Head Region

TOPIC 9 SIMPLE REGRESSION & CORRELATION

Thermodynamic analysis of human heat and mass transfer and their impact on thermal comfort

Climatically Adapted Piloti Arrangement and Ratio of Residential Blocks in a Subtropical Climate City

Section 3.5 Thermal Comfort and Heat Stress

Design strategy for Low e windows with effective insulation

Numerical Analysis of Comfort and Energy Performance of Radiant Heat Emission Systems

A Numerical Investigation on Active Chilled Beams for Indoor Air Conditioning

A NEW SIMULATION SYSTEM TO PREDICT HUMAN-ENVIRONMENT THERMAL INTERACTIONS IN NATURALLY VENTILATED BUILDINGS. Leicester LE1 9BH, UK. Karlsruhe, Germany

Cree XLamp XR-E LED PRODUCT FAMILY DATA SHEET FEATURES PRODUCT DESCRIPTION TABLE OF CONTENTS CLD DS-05 REV11

ScienceDirect. Experimental study of influence of movements on airflow under stratum ventilation

ARCH 348 BUILDING AND ENVIRONMENTAL SYSTEMS

A Bayesian Approach for Learning and Predicting Personal Thermal Preference

HUMAN ENVIRONMENTAL HEAT TRANSFER SIMULATION WITH CFD THE ADVANCES AND CHALLENGES. Kingdom

BIOS. Weather. 266BC Wireless Wind Chill and Humidex Thermometer. Thermomètre sans fil pour indices de refroidissement éolien et humidex

PROBLEM 1.3. dt T1 T dx L 0.30 m

Fundamentals of light

Fundamentals of light

4-1 The Role of Climate. Copyright Pearson Prentice Hall

Transcription:

RELATIONSHIPS BETWEEN OVERALL THERMAL SENSATION, ACCEPTABILITY AND COMFORT Yufeng Zhang 1, and Rongyi Zhao 2 1 State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, Wushan, 5164, P.R.China 2 Department of Building Science, Tsinghua University, Beijing, 184, P.R.China ABSTRACT Thermal sensation, acceptability and comfort are the important responses while evaluating the quality of thermal environment. Experimental investigations into the relationships between these responses were performed separately under uniform and non-uniform conditions that produced by local cooling. Thirty male Chinese subjects in college age participated the experiment and reported their local thermal sensation of each body part, overall thermal sensation, acceptability and comfort. Under uniform conditions, overall thermal sensation, acceptability and comfort are correlated closely. Acceptable range runs from neutral to 1.5 (midpoint between Slightly Warm and Warm ) on thermal sensation scale and contains all comfortable and slightly uncomfortable votes on thermal comfort scale. Under non-uniform conditions overall thermal acceptability and comfort are correlated closely. However, overall thermal sensation is apart from acceptability and comfort and non-uniformity of thermal sensation was found to be the reason for the breakage. Combining the effects of overall thermal sensation and non-uniformity of thermal sensation, a new thermal acceptability model was proposed and the model is validated in uniform and non-uniform conditions over a wide range of whole body thermal state from neutral to slightly warm. KEYWORDS Overall thermal sensation, Overall thermal acceptability, ; Non-uniformity of thermal sensation INTRODUCTION Recently with the requirements of energy saving, more and more attentions were paid on the research of thermally non-uniform environment. Assessment of the non-uniform environment is a highlighted problem for the well-design of non-uniform environment in buildings. For the assessment of uniform and steady thermal environment, the known indices, such as PMV, ET* and SET, which predict human thermal sensation by environmental parameters and personal information, are widely accepted. However, there is no index accepted universally to evaluate thermally non-uniform environment and overall (whole body) thermal sensation (Burch et al. 1991, Hagino and Hara 1992, Li 24, Hodder et al. 1998), overall thermal acceptability (Melikov et al. 1994, Zhang et al. 27, Melikov 24, Gong et al. 25) and overall thermal comfort (Schlegel and McNall 1968, Brooks and Parsons 1999, Zhang 23, Sakoi et al. 25) were used separately by different authors. It would be useful to understand the relationship between overall thermal sensation, acceptability and comfort under non-uniform conditions. The relationship between thermal sensation and acceptability was firstly clarified by Fanger (197), who defined the dissatisfied as those who vote Cool or Cold, Warm or Hot based on the experimental results by Gagge et al. (1967). This definition was confirmed by Berglund (1979) through Corresponding Author: Tel: + 86 2 39851485, Fax: + 86 2 8711164 E-mail address:zhangyufeng96@tsinghua.org.cn

comparison with the responses obtained by directly asking subjects whether they find the thermal conditions acceptable or unacceptable. As the relationship was derived and confirmed under uniform conditions, its validity under non-uniform conditions remains untested. The relationship between thermal comfort and acceptability was investigated by Berglund (1979). He compared the effect of temperatures that deviate from those of optimum comfort assessed by percent comfortable (Gagge and Nevins 1976) with the one by thermal acceptability (Berglund and Gonzalez 1978) and found that they were quite similar, which indicates that the thermal comfort votes falling in comfortable or slightly uncomfortable range were perceived by the subjects as acceptable. The comparison was conducted under uniform environment and the one for non-uniform environment remains vacant. The known relationships between thermal sensation, acceptability and comfort were qualitative and derived in uniform environment. The purpose of the present study was to investigate quantitatively the relationships between overall thermal sensation, acceptability and comfort under uniform and non-uniform environment and to develop a new thermal acceptability model applicable to both environments. EXPERIMENTAL METHODS The experiment was carried out in the climate chamber in Tsinghua University. The chamber was used to supply a thermally uniform ambient environment and the temperature in the chamber could be maintained with a precision of ±.2 C. Personalized ventilation system was used to produce non-uniform environment by supplying local cooling airflow to three sensitive segments of human body: face, chest and back separately. Three room temperatures, ranging from neutral to warm, were chosen and for each room temperature, three local cooling target temperatures (target temperature means the air temperature at the center of cooling body part surface), ranging from neutral to slightly cool, were studied in the present experiment (Table 1). Relative humidity was kept at 4%, and air velocity was less than.1m/s in the room air. Air velocity at the outlet of cooling airflow was maintained at 1m/s. Table1. Experimental conditions Room temperature ( C) 28,32,35 Target temperature ( C) 22,25,28 Each test consisted of half-an-hour exposure to uniform condition and half-an-hour exposure to non-uniform condition. Thirty randomly selected Chinese college-age students, dressed in short, with a normal range of height and weight participated in the experiment of all conditions and the total duration for each subject was 27 hours. The sequence of presentation was balanced among subjects. Subjects remained sedentary throughout each exposure. Conversation was permitted but the subjects were not allowed to exchange views concerning the thermal environment. Subjects reported their local thermal sensation of each body part, overall thermal sensation, overall thermal acceptability and overall thermal comfort simultaneously at each voting time and three times in the last 1 minutes for each exposure. Thermal sensations were reported on ASHRAE 7-point scale (Fig. 1a). A visual-analogue scale indicating acceptability, originally developed to evaluate indoor air quality by Gunnarsen and Fanger (1992), was used in the present study (Fig. 1b). A thermal comfort scale developed by Zhang (23) was applied in the present study to force subjects to make a clear determination about whether their perceived state falls in the category of Comfortable or Uncomfortable (Fig. 1c).

+3 Hot +1 Clearly acceptable +2 Very comfortable +2 Warm +1 Comfortable +1 Slightly warm Neutral Just acceptable Just unacceptable Just comfortable Just uncomfortable -1 Slightly cool -2 Cool -1 Uncomfortable -3 Cold -1 Clearly unacceptable -2 Very uncomfortable a. Thermal sensation scale b. Thermal acceptability scale c. Thermal comfort scale Fig. 1. Voting scales RESULTS AND DISCUSSION Shapiro-Wilk's W test was applied and the results show that human responses obtained in all conditions were normally distributed. They were therefore analyzed using repeated measure ANOVA and paired-sample t-tests. It was found that human responses reached steady state within 2 minutes during each exposure (p>5). If not mentioned specifically, all responses reported below are steady state responses. Responses to the uniform conditions Human responses to the uniform exposures were analyzed and the results are shown in Fig. 2-3. Each point in the Fig.s represents the mean vote of all subjects responses for each condition. It can be seen that a straight line fits the data well for each Fig. (R 2 >.95). Overall thermal acceptability TA = -1*TS +.58 R 2 =.96, p < 1 - -.5.5 1. 1.5 2. Overall thermal sensation 1.2.6 TC = -.79*TS + 1.1 R 2 =.96, p < 1 -.6 -.5.5 1. 1.5 2. Overall thermal sensation Fig. 2. Overall thermal acceptability, TA, and overall thermal comfort, TC, as functions of overall thermal sensation, TS, under the uniform conditions

Overall thermal acceptability TA =.51*TC + 7 R 2 =.99, p < 1 - - 1.2 Fig. 3. Overall thermal acceptability as a function of overall thermal comfort under the uniform conditions Under the uniform conditions, overall thermal sensation, acceptability and comfort are correlated with each other closely. Thermal sensation mean vote of 1.5 corresponds to thermal acceptability mean vote of and thermal comfort mean vote of -.2, that is to say, acceptable range runs from neutral to 1.5 on thermal sensation scale and contains all comfortable and slightly uncomfortable votes on thermal comfort scale, which confirms the relationships found before under uniform conditions. Responses to the non-uniform conditions Human responses to the non-uniform exposures were analyzed and the results are shown in Fig. 4-5. Each point represents the mean vote of all subjects responses for each condition. Compared with the linear relationship obtained in the uniform conditions, no linear relationships exist between overall thermal sensation and acceptability and comfort under the non-uniform conditions (see Fig. 4). Subjects feel more uncomfortable and unacceptable with the non-uniform environment than the uniform one while their overall thermal sensations are the same. The linear relationship between overall thermal acceptability and comfort is retained well (R 2 =.98) in the non-uniform conditions (see Fig. 5) and the function is very similar with the one obtained under the uniform conditions. Overall thermal acceptability - -1 1 2 Overall thermal sensation Non-uniform 1.2 - -1 1 2 Overall thermal sensation Uniform Fig. 4. Overall thermal acceptability and comfort as functions of overall thermal sensation under the non-uniform conditions

Overall thermal acceptability TA =.52*TC + 6 R 2 =.98, p < 1 - - 1.2 Fig. 5. Overall thermal acceptability as a function of overall thermal comfort under the non-uniform conditions The scattering of the points on Fig. 4 indicates that it is difficult to define acceptable or comfortable range only by whole body thermal sensation vote for that each thermal sensation vote corresponds to a wide range of thermal acceptability and comfort. For instance, thermal neutrality corresponds to the acceptability range of (7,.54) and the comfort range of (-2,.97). Thus the relationship proposed by Fanger is not suitable for non-uniform environment. Except for overall thermal sensation, there should be other factors influencing thermal acceptability and comfort with non-uniform environment. Non-uniformity of thermal sensation McNall and Biddison (197) studied thermal sensation and comfort of sedentary persons exposed to asymmetric radiant fields and found that it was uneven body temperature which caused the thermally neutral subjects participating in the Hot Wall series to have a significantly lower probability of feeling comfortable than the subjects in the uniform conditions, where the uneven body temperature means one side of the body feels warmer (or cooler) than the other. Uneven body temperature was inquired by an additional questionnaire in the present experiment and it was found that 97% of the subjects perceived obvious non-uniformity of thermal sensation between different body parts during the non-uniform exposures. Non-uniformity of thermal sensation may be the reason for the scattering of the points on Fig. 4. Considering the strongest feeling comes from the difference between the coolest and the warmest body part, the maximum thermal sensation difference between body parts was chosen to represent the non-uniformity of thermal sensation. Taking the responses obtained when subject s whole body thermal sensation vote close to neutral (mean vote of overall thermal sensation falls in (-.2, +.2)), the relationships between the maximum thermal sensation difference between body parts and overall thermal comfort and acceptability were analyzed and the results are shown in Fig. 6-7. When the non-uniformity is small, subjects perceive the non-uniform environment the same comfortable and acceptable with the uniform one. With the increase of non-uniformity, overall thermal comfort and acceptability go down apparently and the tendency is linear (R 2 >8). Non-uniformity of thermal sensation explains well the breakage of the relationship between overall thermal sensation and acceptability and comfort.

Overall thermal acceptability.6.2 -.2 TA = -.27*TS D +.57 R 2 = 9, p < 1 1.2 1.6 2. The maximum thermal sensation difference between body parts Fig. 6. Overall thermal acceptability as a function of the maximum thermal sensation difference between body parts, TS D, in overall thermal neutrality 1.4 1.6.2 TC = -.55*TS D + 1.1 R 2 = 8, p < 1 -.2 1.2 1.6 2. The maximum thermal sensation difference between body parts Fig. 7. as a function of the maximum thermal sensation difference between body parts when in overall thermal neutrality A new thermal acceptability model Subjects evaluate thermally non-uniform environment based on their perceptions of overall thermal sensation and non-uniformity of thermal sensation. Supposing these two perceptions are independent from each other, a new thermal acceptability model was proposed: TA = TA 1 + TA 2 (1) where TA is the overall thermal acceptability, TA 1 is the uniform term and TA 2 is the non-uniform term. The uniform term is a function of overall thermal sensation TS, and the function was obtained by linear regression of the data obtained under the uniform conditions (see Fig. 2): TA 1 = -1*TS +.58 (2) The non-uniform term is a function of the maximum thermal sensation difference between body parts TS D. The function was obtained by linear regression of the data under the non-uniform conditions while whole body thermal sensation closes to neutral (see Fig. 6): TA 2 = -.27*TS D (3) In order to validate the new thermal acceptability model for the non-uniform conditions that vary from neutrality, all responses obtained in the present experiment were collected and multiple linear regression was performed.

Table 2. Coefficients a Unstandardized Standardized Model Coefficients Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 (Constant).67 14 43.61 TS -.398 13 -.971-373 99 1.113 TS D -.29 12 -.563-17.666 99 1.113 a. Dependent Variable: TA As Table 2 shows, TS is independent from TS D (tolerance>) and TS and TS D affect TA significantly (p<1) and the linear regression function is very similar with the new thermal acceptability model. In order to justify the validity of the model in quantity, the predicted overall thermal acceptability calculated from the actual overall thermal sensation and non-uniformity of thermal sensation was compared with the actual overall thermal acceptability (see Fig. 8). The responses in neutral-cool range were not included in the analysis for the equation (2) was obtained in neutral-warm conditions. Predicted thermal acceptability.6.3 -.3 TS (,.5) TS (.5,1.5) R 2 =.91 p < 1 -.3.3.6 Measured thermal acceptability Fig. 8. Validation of the new thermal acceptability model in the non-uniform conditions that vary from neutrality It can be seen that the predicted values is highly correlated with the measured values (R 2 >.91, p<1). The new thermal acceptability model is suitable for both neutral and slightly warm, uniform and non-uniform conditions. Subjects evaluate the acceptability of thermal environment from two aspects separately: whole body thermal sensation and non-uniformity of thermal sensation. Whole body thermal sensation affects thermal acceptability in the same way under uniform environment and non-uniform environment. The effect of non-uniformity of thermal sensation on thermal acceptability obtained under thermal neutral conditions is valid for warm conditions. The acceptable range according to the new thermal acceptability model can be expressed as: -1*TS +.58.27TS D > (4) CONCLUSIONS The relationships between overall thermal sensation, acceptability and comfort under uniform and non-uniform conditions were studied in the present experiment and the following conclusions can be drawn: 1. Overall thermal acceptability and comfort are highly correlated and the thermal comfort votes falling

in comfortable or slightly uncomfortable range are perceived as acceptable under uniform and non-uniform conditions. 2. Overall thermal sensation is correlated with thermal acceptability and comfort closely and acceptable range runs from neutral to 1.5 (midpoint between slightly warm and warm) on thermal sensation scale under uniform environment. However, overall thermal sensation is apart from the other two responses and thermal neutrality does not mean thermal comfort any more under non-uniform environment. 3. Non-uniformity of thermal sensation is the reason for the breakage of the relationship between overall thermal sensation and acceptability and comfort. 4. Combining the effects of overall thermal sensation and non-uniformity of thermal sensation, a new thermal acceptability model is proposed. The model is applicable to uniform and non-uniform conditions over a wide range of whole body thermal state from neutral to slightly warm. ACKNOWLEDGEMENTS The experiment was supported by National Natural Science Foundation of China (Project No. 517837). REFERENCES 1. S. D. Burch, J. T. Pearson and S. Ramadhyani (1991) Experimental study of passenger thermal comfort in an automobile under severe winter conditions, ASHRAE Transactions, vol. 97(1), 239-246. 2. M. Hagino and J. Hara (1992) Development of a method for predicting comfortable airflow in the passenger compartment, SAE Technical Paper Series No.922131, New York: Society of Automotive Engineers. 3. J. Li (24) Studies on Characteristics of Personalized Ventilation and Human Response [PhD Thesis], Beijing, Tsinghua University. (in Chinese) 4. S. G. Hodder, D. L. Loveday, K. C. Parsons, et al. (1998) Thermal comfort in chilled ceiling and displacement ventilation environments: vertical radiant temperature asymmetry effects, Energy and Buildings, vol. 27, 167-173. 5. A. K. Melikov, R. S. Arakelian, L. Halkjaer, et al. (1994) Spot cooling part 1: Human responses to cooling with air jets, ASHRAE Transactions, vol. 1(2), 476-499. 6. Y. Zhang, D. P. Wyon, L. Fang, et al. The influence of heated or cooled seats on the acceptable ambient temperature range, Ergonomics, vol. 5(4): 586-6. 7. A. K. Melikov (24) Personalized ventilation, Indoor Air, vol. 14 (7), 157-167. 8. N. Gong, K. W. Tham, A. K. Melikov (25) Human perception of local air movement and the acceptable air velocity range for local air movement in the tropics, Proceedings of Indoor Air 25, Beijing, China, 452-457. 9. J. C. Schlegel and P. E. McNall (1968) The effect of asymmetric radiation on the thermal and comfort sensations of sedentary subjects, ASHRAE Transactions, vol. 74(2), 144-154. 1. J. E. Brooks and K. C (1999) Parsons. An ergonomics investigation into human thermal comfort using an automobile seat heated with encapsulated carbonized fabric, Ergonomics, vol. 42(5), 661-673. 11. H. Zhang (23) Human Thermal Sensation and Comfort in Transient and Non-uniform Thermal Environments [PhD Thesis], Berkeley, University of Carlifornia at Berkeley. 12. T. Sakoi, K. Tsuzuki, S. Kato, et al. (25) Proposal of expression of whole-body thermal comfort in non-uniform thermal environment, Proceedings of Indoor Air 25, Beijing, China,193-198. 13. P. O. Fanger (197) Thermal Comfort, Copenhagen, Danish Technical Press. 14. A. P. Gagge, J. A. J. Stolwijk and J. D. Hardy (1967) Comfort and thermal sensations and associated physiological responses at various ambient temperatures, Environmental Research, vol. 1, 1-2.

15. L. G. Berglund (1979) Thermal acceptability, ASHRAE Transactions, vol. 85(2), 825-834. 16. A. P. Gagge and R. G. Nevins (1976) Effect of energy conservation guideline on comfort, acceptability and health, Final report of contract #CO-4-51891-, USA: Federal Energy Administration. 17. L. G. Berglund and R. R. Gonzalez (1978) Application of acceptable temperature drifts to built environments as a mode of energy conservation, ASHRAE Transactions, vol. 84(1), 11-121. 18. L. Gunnarsen and P. O. Fanger (1992) Adaptation to indoor air pollution, Environment International, vol. 18, 43-54. 19. P. E. McNall and R. E. Biddison (197) Thermal and comfort sensations of sedentary persons exposed to asymmetric radiant fields, ASHRAE Transactions, vol. 76(1), 123-136.