08 June 2023

At the next international conference SEB 2023, the UNIVPM group will present the contribution entitled “Building Management System and Data Sharing Platform for passive cooling strategies assessment and users’ awareness increase: design and application to a social housing context in Italy” (authors Elisa Di Giuseppe , Gianluca Maracchini, Arianna Latini, Gabriele Bernardini, and Marco D’Orazio).

The contribution concerns the activities carried out within the Action C3, aimed at developing an interactive platform for the visualization and analysis of the data collected in the monitoring of the two demonstrator buildings of the project.

Abstract

The development and application of building management systems (BMS) offer several advantages, such as analyzing the performance of buildings in real time, understanding user behavior towards systems and components, collecting data useful for energy modeling of buildings, increasing user awareness (if also supported by automation and control systems and feedback solutions).

This article deals with the design and application of a smart, wireless, reversible and low-impact BMS integrated in two social housing buildings, demonstrator cases in the European project “LIFE SUPERHERO”. The information obtained from the installed sensors (external and internal environmental conditions, occupant behavior, roof performance) is stored in a server, thus allowing researchers to access data in real time and carry out analyzes relating to the indicators and project objectives (eg energy consumption for cooling, comfort parameters, etc.). The raw and processed data are then reported in a web sharing platform, called “HUman-BEhaviors monitoring data Sharing” (HU-BES), which provides a qualitative and quantitative representation of the data, aimed at specialized or non-skilled users, such as designers, inhabitants of the buildings and other stakeholders. Both the BMS and HU-BES are developed to be flexible tools that can be further integrated as the project evolves, for example by adding more sensors or showing different performance indicators.