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

Mixed-mode buildings utilise a combination of natural ventilation from operable building
envelopes and mechanical systems to realise climate-friendly ventilation and cooling. The …

Reinforcement learning (RL) has been shown to have the potential for optimal control of
heating, ventilation, and air conditioning (HVAC) systems. Although research on RL-based …

The paper presents a review on major contributions in infrared thermography to study the
built environment at multiple scales. To elaborate the review, hundreds of studies conducted …

Occupant behavior has been widely considered as one of the key influencing factors on
building energy consumption. The complexity of its formation mechanism and the dynamic …

In an increasingly digital world, there are fast-paced developments in fields such as Artificial
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …

Data-driven building energy modelling techniques have proven to be effective in multiple
applications. However, the debate around the possibility of generalisation is open …

The transition to low carbon energy systems poses challenges in terms of energy efficiency.
In building refurbishment projects, efficient technologies such as smart controls and heat …

In recent years, the integration of digital technologies has grown rapidly in the field of
thermal comfort and energy efficiency for buildings. The concept of a digital twin …

Energy simulations of buildings complement or replace the static calculations used so far
and provide detailed answers to questions such as: what is the energy demand for …