This deliverable is a joint presentation of the work carried out under T4.1 Common Information Exchange Model (CIEM) for SmartLivingEPC and T4.2 Building dynamic behaviour monitoring (both energy and non-energy). The first aim of this deliverable is to provide a detailed description of the CIEM undergoing development in the SmartLivingEPC project, focusing on its planned architecture, sub-component functionality, and data schemas. The deliverable also provides a detailed description of the development and evaluation processes of the SmartLivingEPC’s Building dynamic behaviour system.
The SmartLivingEPC framework handles extensive static and real-time data gathered from diverse sources within the building. All this information needs to be transformed into understandable formats for other SmartLivingEPCC components. Within SmartLivingEPC, the CIEM holds comprehensive knowledge related to the building, encompassing 3D maps, insulation, assets, BIM, audits, SRIs, energy sources, context details, and sensors, etc. Additionally, it involves developing an IoT sensor middleware to facilitate real-time data exchange among SmartLivingEPC components. Furthermore, the project introduces the Building Dynamic Behaviour Monitoring System, which is responsible for modelling and implementing the building’s dynamic behaviour. It considers dynamic building data such as energy usage, indoor conditions, and occupancy, correlating and organizing this information to derive the model for the building’s behaviour. This approach focuses on the “occupant” parameter, recognizing its significant influence on the building’s overall behaviour.
This document provides a framework for SmartLivingEPC interoperability, emphasizing the integration of Building Information Modelling (BIM) and Internet of Things (IoT) data. It explores methodologies for harmonizing these data streams to establish a cohesive ecosystem. Central to this framework is the SmartLivingEPC CIEM system, which acts as a data collection, management, and sharing system. It encompasses a robust data model, management strategies, and a multi-layered architecture supported by a defined technology stack. Additionally, it outlines the connections with pilot sites.
The document also addresses literature review and data acquisition specifics for Building Dynamic Behaviour Monitoring System. It enables a deeper understanding of occupancy patterns within buildings and details load categories and temporal granularity for effective data collection. Moreover, it explores the methodology and algorithms employed in the Building Dynamic Behaviour Monitoring System. This includes analytics, modelling techniques, and behaviour generators designed to interpret and simulate dynamic building data.
SmartLivingEPC – CIEM & Building Dynamic Behaviour Monitoring Platform v1