Buildings do not usually perform during operation as well as predicted during the design
stage. Disagreement between simulated and metered energy consumption represents a …

Nowadays, there is growing interest in all the smart technologies that provide us with
information and knowledge about the human environment. In the energy field, thanks to the …

Buildings today represent 40% of world primary energy consumption and 24% of
greenhouse gas emissions. In our society there is growing interest in knowing precisely …

Owners of large building portfolios such as university campuses have long relied on building
energy models to predict potential energy savings from various efficiency upgrades …

Prediction of building energy use, when performed at urban scale, is influenced by the
choice of modelling approach, as well as the quality of available data. In the case of data …

The domestic sector is a significant energy consumer–accounting for around 40% of global
electricity demand–due to household demand diversity and complexity. An accurate and …

This chapter reviews emerging simulation methods and implementation workflows for
bottom-up urban building energy models. It discusses simulation input organization, thermal …

Nowadays there is a growing concern about climate change and the global warming effect
produced by the concentration of greenhouse gases (GHG). At the Paris climate conference …

The use of setpoint temperatures based on adaptive comfort algorithms is a method more
and more used as an energy saving technique. Knowing the relationship between …

Recent climate action plans set ambitious targets for large-scale home energy retrofit. These
retrofit targets also recommend switching from oil boilers to electrical heat pumps. One area …