NTech4Build- New tecnhologies for enhancing energy efficiency in buildings

This project proposed the application of new digital technologies to reduce buildings’ energy consumption and, thus, drive their carbon footprint towards zero. Such a digital transition will be performed using IoT and machine learning algorithms and tested in an existing bioclimatic building located at the campus of the UAL, the CIESOL research center. To do that, it will be necessary to: i) develop an anomalies detection system supported by AR to facilitate on-site checks and to reduce the time needed for maintenance tasks. This system will use data-driven and knowledge based techniques to check in real-time the operation of the main subsystems of the building, ii) Characterize users’ behaviour inside the building by means of an occupancy tracking strategy composed of anchors, tags, and cameras, and using machine learning algorithms to obtain models of users’ behaviour, iii) predict the solar irradiation using data from a pyranometer and machine learning techniques together with the production of the photovoltaic panels through a video stream acquired by a camera which will be used to detect the amount of dust onto the photovoltaic panels.