The purpose of a digital twin (DT) is to gain insight into and predict the performance of a
physical product, process, or piece of infrastructure. Numerous advantages accrue from the …

Over the last few decades, energy efficiency has received increasing attention from the
Architecture, Engineering, Construction and Operation (AECO) industry. Digital Twins have …

Urban multi-energy systems (UMES) incorporating distributed energy resources are vital to
future low-carbon energy systems. These systems demand complex solutions, including …

The building energy performance gap (EPG) seriously restricts the improvement of building
energy efficiency. Currently, although many studies on EPG, it is not yet fully understood and …

Open-source modelling libraries facilitate the standardization and harmonization of model
development. In the context of building energy systems, Modelica is a suitable modelling …

The aim of the research. This article discusses the use of the Digital Twin in automation and
its impact on the resulting solution. The research aims to illuminate the Digital Twin concept …

Increasing demands on indoor comfort in buildings and urgently needed energy efficiency
measures require optimised HVAC systems in buildings. To achieve this, more extensive …

Advances and fast development in emerging digital technologies trigger the next generation
revolution in energy areas and smart cities, while roles and mechanisms of digital …

Digital twin models serve as the most crucial foundation for estimating the expected
conservation effects of building energy systems. The establishment of digital twin models …

Digital twins of HVAC systems show great potential to increase efficiency through
operational optimization and predictive maintenance of real processes. We introduce an IoT …