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The building sector in the world is responsible for nearly 36% of the final energy consumption and nearly 40% of total direct and indirect CO2 emissions. One of the most efficient strategies to reduce the energy consumption in buildings is the estimation and optimization of building energy performance. According to the International Energy Agency IEA-EBC[1], several factors influence the energy performance of buildings; one of the significant factors is the occupant behavior. Recently, there has been growing interest in this field. In this context, different methods have been proposed and developed especially when the traditional methods such as interview and survey are not efficient and sufficient to analyze and to predict the occupant behavior with better accuracy. The main objective of this study is to provide a clear definition of the occupant behavior, a review of current approaches to analyze the occupant behavior and presentation of our research that proposes the possibility of including the occupants as a part of the problem and a solution to the problem. This research is a part of a European project H2020 “Holistic Energy and Architectural Retrofit Toolkit (HEART)”.

The huge amount of energy consumed by the residential buildings makes the sector one of the principal sources affecting the energy use in the European countries. To face it, the renovation of the building stock is considered one of the key strategies to improve the energy performance of buildings and meet the energy efficiency targets. Thus, a full understanding of the building stock and renovation market is crucial to meet the objectives of energy efficiency strategies. This research presents the findings of an extensive research on the residential building stock and retrofit market in France, Italy, Spain, Slovenia and Austria and a detailed comparative analysis is developed to assess the quality and the level of the data sources. The weighting method is adopted in this paper as an analytic approach in order to evaluate the main indicators of the data collected and to highlight the commonalities and the differences of building data among European countries. The results of this analysis are considered as valuable vademecum aims to support the experts and the different stakeholders in the data collection process and initiates the opportunities for standardizing data collected from European countries. This research is a part of a European project H2020 (heartproject.eu).

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The improvements in living standards and air-conditioning have widely been applied, however, the health effects of indoor air pollution have been increasing, especially in the last three years with the coronavirus. To get clean air through the building, filtration is one of the most efficient strategies to optimize indoor air quality. In this regard, a comparative study was done in a classroom at ENTPE laboratory to emphasize filtration’s importance and to test the efficiency of analyzed type PM10_50. The results highlighted allows us to see the impact of control strategy on the efficiency of filtration (air conditions and ventilation systems performances). The numerical feedback has also been analyzed and the results allowed us to find an efficient filter and draw recommendations for their use.