It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …

Grey-box modeling, as one of the three fundamental modeling techniques for building
energy models, has many advantages compared with black-box modeling and white-box …

Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

The large penetration rate of renewable energy sources leads to challenges in planning and
controlling the energy production, transmission, and distribution in power systems. A …

Buildings are dynamical systems with several control challenges: large storage capacities,
switching aggregates, technical and thermal constraints, and internal and external …

Building information modelling (BIM) is the first step towards the implementation of the
industrial revolution 4.0, in which virtual reality and digital twins are key elements. At …

Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …

We present a physics-constrained deep learning method to develop control-oriented models
of building thermal dynamics. The proposed method uses systematic encoding of physics …

The approach to the built environment as a container of human activities has been severely
outdated with a new vision that puts the user, his/her well-being and his/her experience, at …

Building and district energy systems become increasingly complex, requiring accurate
simulation and optimization of systems that combine building envelope, heating ventilation …