Uncertainty analysis in building energy assessment has become an active research field
because a number of factors influencing energy use in buildings are inherently uncertain …

Technology alone will not achieve building energy conservation goals, and humans and
their energy-related behavior in buildings must be included in energy performance efforts …

Abstract Model Predictive Control (MPC) is a model-based technique widely and
successfully used over the past years to improve control systems performance. A key factor …

The EU Green Deal, beginning in 2019, promoted a roadmap for operating the transition to a
sustainable EU economy by turning climate issues and environmental challenges into …

The transition towards energy systems characterized by high share of weather dependent
renewable energy sources poses the problem of balancing the mismatch between inflexible …

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outdated with a new vision that puts the user, his/her well-being and his/her experience, at …

Occupant-related inputs are significant parameters that influence energy simulation
accuracy at both the building and urban levels. In most previous research works, fixed …

This paper proposes a framework that integrates Building Information Modeling (BIM) with
Genetic Algorithm Optimization and Monte-Carlo Simulation. The developed framework …

The performance gap of buildings is commonly defined as the difference between the
performance value predicted in the design stage and that measured in the post-occupancy …

Decarbonisation and efficiency goals set as a response to global warming issue require
appropriate decision-making strategies to promote an effective and timely change in energy …