classification

Last years, interest in airtightness increases among all construction fields and airtightness becomes a major issue in the reduction of energy consumption in buildings. Nevertheless, there is a lack of understanding of air displacements through weak spots in buildings (airpaths). Firstly we develop first the concept of Potential Improvement Graph (PIG chart). These graphs represent the “improvement curves” of a given airpath (airflow indicator against airpath parameter). As an airpath can have multiple significant parameters, PIG charts can be n-dimension graphs.

INTRODUCTION: The Finnish Society of Indoor Air Quality and Climate (FiSIAQ) introduced over twenty years ago in 1995 a Classification of Indoor Climate, Construction Cleanliness, and Finishing Materials and the third edition will be published autumn in the year 2017. Based on the criteria set in the classifications, The Building Information Foundation RTS sr started the M1-labelling of air handling components in 1999. Name of the classification is Cleanliness Classification of Air Handling Components.

In 2004 the first adaptive thermal comfort guideline was introduced in the Netherlands. Recently a new, upgraded version of this ISSO 74 (ATG) guideline has been developed. The new requirements are hybrid in nature as the 2014 version of the guideline combines elements of traditional non-adaptive comfort standards with elements of adaptive standards. This paper describes the new guideline and explains the rationale behind it. Also changes in comparison with the original 2004 version and issues related to performance verification are discussed.

The actions to limit the energy consumption and the electricity demand lead in Europe and inFrance to think about the energy labelling of the consumption of the fans used in ventilationsystems. This is a complicated task as it has to take into account the multiple possibleoperating conditions, the eventual presence of a regulation system and the type of use.A study supported by Ademe has been carried out in order to propose a method for labelling ofthe ventilation units. This study was divided in four phases.

The purpose of this paper is to validate Kittler-Perez model of classification of sky luminance distribution about the IDMP data in Kyoto Japan. Data were classified by the nearest centroid sorting method on the combination of nine indices of insolation condition. The indices are, 1) cloud ratio, 2) sky clearness index, 3) ratio of zenith luminance to diffuse illuminance, 4) standardized diffuse illuminance, 5) brightness, 6) standardized global illuminance, 7) standardized direct illuminance, 8) permeability, and 9) turbidity.

The classification of fume hoods in laboratories was conducted as a occupational protection part of risk assessment and management procedure. The fume hoods (n = 296) in laboratories were classified according to the observed face velocities. Classification scheme included descriptions of recommended use. Only 30 % of fume hoods were recommended for normal laboratory duties and 7 % were recommended not at all to be used.