Adapt4EE

Adapt4EE aims at augmenting the contemporary architectural envelope by incorporating business and occupancy related information thus providing a holistic approach to the planning, design & evaluation of energy performance of construction products at an early design phase and prior to their realization.

Adapt4EE aims to deliver and validate a holistic energy performance framework that incorporates architectural metadata and environmental parameters (BIM), critical business models (BPM), treating occupants as the central reference point. The Adapt4EE framework, identifying and analyzing occupancy behavior (presence and movement) will align energy consumption points to all interrelated enterprise aspects (business processes, enterprise assets and utility state and operations).

Adapt4EE will develop an enhanced semantic enterprise data model that treats, learns and manages the enterprise environment as an intelligent agent, perceives environmental state using multi-type sensors and information modalities. The Adapt4EE Enterprise Model will incorporate business processes and occupancy data. It will also constitute a formal model for enterprise energy performance measuring, monitoring, simulation, prediction and optimization. The model will be calibrated during the training phase based on sensor data captured during operation and then applied and evaluated in real-life every day enterprise operations. More specifically the Adapt4EE Enterprise Models will allow for the proactive identification of optimum local adaptations of enterprise utility operations, based on predictions of possible occupancy patterns and respective business operations and energy profiles.

Adapt4EE will provide a set of Open Business Reference Models as well as respective methods and tools for modelling and simulating the real life operation of construction products, thus allowing for more accurate and realistic evaluation of the energy impact of alternative design and planning decisions.

Consortium

Centre for Research & Technology Hellas – Informatics & Telematics Institute, Greece
Universidad de Navarra, Spain
Associacao Academica de Coimbra-Organismo Autonomo de Futebol Pcup, Portugal
BOC Information Technologies Consulting Limited, Ireland
Hypertech AE, Greece
Fraunhofer-Gesellschaft zur Foerderung der Angewandten Forschung E.V, Germany
Almende B.V., Netherlands
Technical University Kosice, Slovakia
ISA – Intelligent Sensing Anywhere S.A., Portugal