13 Décembre – Thesis defense - Alice Micolier

14 h Amphi - building A9 (Talence campus)

Development of a methodology for a consistent and integrated evaluation of the health, energy and environmental performance of residential building design solutions.

The construction sector is undergoing a profound transformation driven by energy and environmental concerns. The design solutions proposed to meet these objectives must not compromise indoor air quality (IAQ). Despite the major public health risks associated with this issue, design actors lack tools to assess the performance of the design solutions in terms of IAQ. This thesis aims to address this challenge by proposing a consistent and integrated methodology for evaluating the health, energy and environmental performance of building design solutions. Life Cycle Assessment (LCA) has been identified as a relevant methodology for integrating into a standardised methodological framework the evaluation of the building performance in terms of IAQ, energy and environment through common impact metrics.
In order to better characterise the impacts generated by indoor air pollution and energy consumption during the operational phase of the building, we developed a numerical model coupling heat and mass transfers in the building envelope. This model evaluates the emission of pollutants from building materials (inventory) until their fate in indoor environments (transport) as a function of the temperature. The integration of this model into the LCA allowed us to quantify the impact of different construction materials on the indoor and outdoor environment of the building and to compare them with the impacts generated during their production and end of life phase. The results obtained show the sensitivity of this model to behaviour-driven parameters.
The occupant has a major role in the problem of IAQ and its consideration is a key element to quantify occupants’ exposure to indoor pollutants with fewer uncertainties. We developed an agent-based model simulating human behaviour within residential buildings using an advanced cognitive architecture that integrates both the deliberative and social behaviour of occupants. By coupling the pollutant transport model with the human behavioural agent model, we explored to which extent the exposure to indoor pollution is sensitive to the occupants' lifestyle and the occupants' behaviour influences the fate of pollutants in indoor environments. This is a preliminary step in estimating a confidence interval of the simulation results, paving the way for a performance guarantee process in terms of IAQ.

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