Energy and thermal modelling of an office building to develop an artificial neural networks model.

ABSTRACT: Nowadays everyone should be aware of the importance of reducing CO₂ emissions which produce the greenhouse effect. In the field of construction, several options are proposed to reach nearly-Zero Energy Building (nZEB) standards. Obviously, before undertaking a modification in any part of a building focused on improving the energy performance, it is generally better to carry out simulations to evaluate its effectiveness. Using Artificial Neural Networks (ANNs) allows a digital twin of the building to be obtained for specific characteristics without using very expensive software. This can simulate the effect of a single or combined intervention on a particular floor or an event on the remaining floors. In this paper, an example has been developed based on ANN. The results show a r

SUBMITTER: Santos-Herrero JM 

PROVIDER: S-EPMC9142595 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature