The model-based control of building heating systems for energy saving encounters severe physical, mathematical and calibration difficulties in the numerous attempts that has been published until now. This topic is addressed here via a new model-free control setting, where the need of any mathematical description disappears. Several convincing computer simulations are presented. Comparisons with classic PI controllers and flatness-based predictive control are provided.
This paper aims to understand the most important factors affecting the building energy performance as well as the role of a high performant construction in reducing the energy consumption. To be able to carry out this study, some new technologies such as a 3D scanner and energy simulation software were used. The results of the study show that a performant construction doesn't necessarily optimize the consumption. Other factors mainly related to the occupation are playing a big role in the final consumption.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.