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Ayoub HannadPhD student

Ecole des Mines Paris-PSL
CEEP

Ayoub's thesis aims to develop a machine-learning-based meta-model to optimise the energy retrofit of buildings while reducing data collection and computation time. These will then be integrated into a multi-criteria optimisation including costs, energy performance and/or environmental impact.

Office building with solar panels
Energy efficiency
Buildings can be designed and operated to radically improve their energy efficiency and reduce their environmental impact.
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Project
Studying the application of machine learning to the design of retrofit projects
Optimising the energy retrofit of buildings through the use of machine-learning-based meta-models.
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Practitioner group
Solar panels integrated in a green urban area
Energy and environment optimisation
Dynamic thermal simulation and life-cycle assessment are decision support tools that comprehensively assess the environmental performance of a building or neighbourhood project and guide its design in order to reduce the
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