Reasearch On Comfort Evaluation And Grey Theory Analysis Of Indoor Environment

Indoor environmental quality, mainly relating to non-pollution of the indoorenvironment, should be studied from perception and acceptability perspective. Thisstudy, focusing on the comfort evaluation of indoor environment and systemuncertainty, has carried out a comprehensive evaluation test of indoor environmenquality, and has established assessment method and index of IEQ in accordance withsubjective questionnaires. Moreover the grey system theory is used to study theuncertainty in indoor environment. The main results of the research are:（1） The indoor air pollutants gray clustering model is proposed to simplify theevaluation of indoor air quality. Because absolute grey incidence degree can expressthe correlation in resource and dissemination characteristics between different indoorair pollutants, so the grey incidence matrix constituted by bsolute grey incidencedegrees can be used to group pollutants. Case studies of Shanghai, Shenzhen officeverify that the model is reasonable. And case studies show, for office buildings, CO₂,RSP, HCHO can be selected as indicator pollutants. Because each indicator representsa class of pollutants which are similar in source and dissemination characteristics,index set induced not only avoid unreliability due to too small indicators, but alsoovercomes excessive high cost and complex process caused by too many indicators.（2） Through regulation of indoor environmental parameters, nine differentindoor environmental statuses are created in a typical office to carry out acomprehensive evaluation experiment of indoor environment quality. The experimentfor the first time surveys the cormfort sense of occupants on indoor thermalenvironment, air environment, acoustic environment and light environment, as wellas indoor personnel symptoms and overall evaluation of indoor environment qualityin quasi-field environment. The evaluation showes that the comfort of occupants isn’tachieved under indoor contaminants thresholds recommended by the health standards.（3） Baes on the Weber/Fechner’s law, the study first puts forword thecomposition principle of indoor environmental factor evaluation index, and definescarbon dioxide indexPMV_CO2, respirable suspended particulate indexPMV_RSP,formaldehyde indexPMV_HCHO, acoustic environmental indexPMV_AC, lightenvironment index PMV_E and indoor air quality index PMVI_AQ On the basis of indoorenvironmental comfort evaluation experiment and literature，the reasonableness of these models is verified. Compared with the environmental parameters, the newdefined comfort evaluation index models establish the link between the objectiveenvironment parameters and subjective comfort evaluation and unify the metrics ofindoor environmental factors. If other environmental parameters are involved in theevaluation, the corresponding index can be built in the same way.（4） Because the similar phenomena, such as heat, noise, odor, eye irritation andother, follow the same laws, the results show that there are the samePMV_IAQi PPD_IAQirelationships between the evaluation indices and percentage ofdissatisfied. So the paper brings up the classification method which grades indoorenviornment quality into five levels, namely excellent, good, fair, poor, and very poor,according toPMV_IAQi PPD_IAQi. Moreover, the environmental parameters ranges ofdifferent indoor environment grades are putted forward. The evaluation indices, asgrading criterion, have the same indexing standards and can be compared between thedifferent environmental parameters. The classification method is benefit forreasonably chooseing confort grade of indoor environment in designing stage.（5） On the basis of the sub-indices of indoor environment, a comprehensiveevaluation index modelPMV_IEQof indoor environmental quality is putted fordword.Study has shown that the indoor environment index matches well with voting valuesof subjective indoor environment comfort survey, reaching consistency betweensubjective and objective evaluation.（6） Furthermore, gray system analysis of uncertainty in indoor environment istaken to show which factors are more important in the indoor environment qualitysystem. The results show that the respirable suspended particulate, formaldehyde andtemperature are critical relatively, so indoor environment quality management andimprovement countermeasures should pay special attention to these environmentalparameters.