PCA

The present article deals with the energy classification and the environmental evaluation of the school buildings in Greece. The energy performance of the school buildings, in relation to the normalized annual consumption for heating regarding floor area and climatic conditions, was rated using clustering technique (K-means algorithm) and an energy classification tool developed. The audited school buildings were classified into five energy categories.

The concentration levels of particulate matter (PM), airborne fungi, carbon dioxide as well as temperature and relative humidity were investigated in the indoor and outdoor environment of two schools in Athens, Greece during the period January to May 2011. The overall concentration ranges of the indoor measured pollutants were: PM10: 14.92-166.18 μg/m3, PM2.5: 3.16-31.27 μg/m3, PM1: 0.72-9.01 μg/m3, UFP: 4188-63093 pt/cm3, total airborne fungi: 28-2098 CFU/m3 and CO2: 389-1717 ppm.

The present paper presents a method to characterizethe typical building from a group by applyingprincipal components analysis (PCA).The method has been developed on a sampleof secondary education school buildings inGreece. The purpose is to define the typicalbuilding in order to propose generalized improvementsfor energy efficiency of the buildingstock concerned. Therefore seven variables fromquestionnaires have been analyzed: heated surface,age of the building, insulation of the building,number of classrooms, number of students,schools operating hours and age of the heatingsystem.

The goal of this study, carried out on a wooden building, is to apply the methodology of identification inorder to obtain the physical parameters which characterize the thermal behaviour of the building. Theidentification of the system is the methodology of modeling the system starting from the experimentaldata.