Thesis supervisor: Jean-Pierre Lévy
Our approach is to position ourselves in the context of energy transition. Environmental issues such as air pollution, global warming, and the increasing scarcity of fossil fuels are at the heart of major contemporary debates. Energy transition is therefore necessary in order to reduce the effects of consumption, the real impacts of which are devastating on a global scale.
It is in this context that the building sector appears to be a major source of consumption and greenhouse gas emissions. This research therefore aims to model the energy consumption behavior of residential buildings following a renovation project. The study of the energy behavior of residential buildings remains both poorly understood and underestimated in models. This difficulty stems from two obstacles: a lack of usable data on actual household consumption; and the complexity of conducting surveys on their domestic energy behavior. The aim is to study, analyze, and dynamically model the behavior of residential buildings, taking into account the interactions between space, household, and consumption. It will focus on the impact of household energy behavior dynamics on the final consumption of the building.
A survey will be conducted before and after renovation among 62 households living in Noisiel. It will capture households' sociodemographic data, household characteristics, and, above all, household behaviors. The data from these surveys and from the sensors installed as part of the André project will be analyzed using various statistical models.
Modeling of energy consumption behaviors of residential buildings
In this thesis, we position ourselves in a context of energy transition. Indeed, environmental issues such as air pollution, global warming, and the scarcity of fossil fuels are at the heart of major contemporary debates. The energy transition is therefore necessary to reduce the effects of consumption, the real impacts of which are devastating on a global scale. It is in this context that the building sector appears to be one of the major factors in the consumption and emission of greenhouse gases.Indeed, the energy transition is necessary to reduce the effects of consumption whose real impacts are devastating on a global scale. It is in this context that the building sector appears to be one of the major factors in the consumption and emission of greenhouse gases. This thesis aims to model the energy consumption behaviors of residential buildings. However, the study of the energy behaviors of residential buildings remains both little understood and undervalued in the models. This difficulty stems from two obstacles: a lack of exploitable data on real household consumption; and the complexity of conducting surveys on domestic energy behaviors. The goal is to dynamically study, analyze, and model the behavior of residential buildings, taking into account the interactions between space, household, and consumption. This thesis will focus on the evolution of household energy consumption after a renovation project, through estimation.
In this thesis, we position ourselves in a context of energy transition. Indeed, environmental issues such as air pollution, global warming, and the scarcity of fossil fuels are at the heart of major contemporary debates. The energy transition is therefore necessary to reduce the effects of consumption, the real impacts of which are devastating on a global scale. It is in this context that the building sector appears to be one of the major factors in the consumption and emission of greenhouse gases.Indeed, the energy transition is necessary to reduce the effects of consumption whose real impacts are devastating on a global scale. It is in this context that the building sector appears to be one of the major factors in the consumption and emission of greenhouse gases. This thesis aims to model the energy consumption behaviors of residential buildings. However, the study of the energy behaviors of residential buildings remains both little understood and undervalued in the models. This difficulty stems from two obstacles: a lack of exploitable data on real household consumption; and the complexity of conducting surveys on domestic energy behaviors. The goal is to dynamically study, analyze, and model the behavior of residential buildings, taking into account the interactions between space, household, and consumption. This thesis will focus on the evolution of household energy consumption after a renovation project, through estimation.
Year of thesis enrollment: 2019
Doctoral school: City, Transportation, and Territories (VTT)