This paper documents people’s comfort during a 24-h period of typical daily life, immediately followed by a standard climate chamber experiment. The objective of this study is to determine the influence of outdoor weather, expectation, adaptive behaviours

This study suggests a computer model capable of predicting thermal environment of an atriumand calculating indoor sol-air temperature, which can evaluate the influence of heat loads thatthe atrium space puts on the adjoining rooms. The computer model is based on zonal modelcombined with the solar radiation model using the Monte Carlo method and ray-tracingtechnique. The accuracy of computer model was validated through scale model test and fieldmeasurement. The average relative error of solar radiation model for predicting solar radiationintensity in atrium space was 11.8%.

This study investigated the transient effects on human thermal responses of clothingadjustments. Two different levels of activity were tested, and the temperature was set to resultin a warm or cool thermal sensation at each activity level.

The numerical thermoregulation model JOS was developed. In this model, the influences ofbody size, sex and age on thermoregulation were reflected on physiological parameters of thethermoregulation model. The whole body model has 17 body segments, each consisting oftwo layers for core and skin. In addition, it is possible to alter its height, weight, sex, age,body fat percentage, basal metabolic rate and cardiac index. In the limbs of this model, thedetailed vascular system was considered, including deep artery and vein, superficial vein andarteriovenous anastomoses (AVA).

There has been much debate over the use of steady-state and adaptive thermal comfortmodels. Many researchers have suggested that the former model is better suited to buildingswith full HVAC systems whilst the latter is better suited to naturally ventilated buildings. Thispaper suggests that the most appropriate form of thermal comfort model is dependent on theadaptive opportunity available to building occupants, regardless of climate control strategy.Some results from a series of field studies carried out in the UK as part of a doctoral thesis arepresented.

This paper reports a number of physical indexes for the assessment of the indoorenvironmental quality of new steel truss structures, used as classrooms at the CataniaUniversity Campus (southern Italy).By means of a multi-channel recording apparatus and questionnaires filled in by thestudents, the following data were collected: indoor dry bulb temperature, relative humidity, airvelocity, mean radiant temperature, workplane illuminance, PMV, PPD, MV, MMV. On thebasis of these data, the comfort requirements are not achieved.

The main objective of this study is to develop a thermal comfort (TC) prediction model suitable for Naturally Ventilated (NV) buildings located in hot and humid tropical climate. More than 1000 data were collected through extensive field survey in Singapore and Indonesia. The surveys finding based on the statistical analyses unveiled that people in the tropics have shown tolerance and different perception of TC than those in the temperate climate. Fuzzy logic concept is adopted to develop an appropriate TC model for tropical NV houses.

Evaluating thermal indoor climate without knowing the conditions is a long and often barrenprocess and documented data is actually not that hard to obtain. A snapshot of the thermalindoor climate in an office building with room for approximately 80 work-places can be takenin only 3 days: 2 days used for measuring and 1 day for reporting. The measuring procedurethat is developed for taking a snapshot is based on ISO 7730.

Thermal manikin test and subjective experiments with a desktop based task conditioningsystem were carried out in a climate chamber of Kanto-Gakuin University, Japan. Theexperiments were conducted under three different combinations of ambient air temperatureand relative humidity. It was found that skin temperatures at the upper half of the manikinsbody exposed to the supply air were decreased. Setting of task condition was fixed at first, andthen the subjects were allowed to control the environment freely after a certain period in thesubjective experiments.

Subjective tests with a desktop-based task conditioning system were conducted. Previous tothe subjective tests, detailed measurements of air velocities influenced by the system wereperformed. For subjective experiments, three ambient air temperature and relative humiditycombinations, (1) 27C/40%RH, (2) 30C/40%RH and (3) 30C/70%RH, were applied. Eachof 16 college age subjects was exposed to the three different experimental room airconditions.