Scalability and Replicability Analysis for an Intelligent Building Management System

The scalability and replicability analysis is aimed at the assessment of the performance, reliability, and efficiency of the proposed solutions for the Intelligent Building Management Systems for handle more data, users, or transactions as well as the ability to be reproduced or replicated in a consistent and reliable manner. This study evaluates the outcomes of the Horizon 2020 PRECEPT Project which is aimed at transformation residential buildings into proactive and efficient ones using intelligent approach to manage the energy consumption and occupants’ well-being. Five residential buildings in diverse locations across Europe represent the Pilot Sites involved for demonstration and analysis of the PRECEPT scaling-up and replication potential. The adopted methodology is based on the existing literature and involves gathering specific data through questionnaires in the form of multiple-choice questions which were completed by project managers. The overview is provided with a plain evaluation on how different factors impact scalability and replicability as well as limitations and barriers that could influence the implementation of the project results are summarized.