Scientific & Technological Objectives

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.

In order for the Adapt4EE vision to be realized and in the view of combining the advantages of the worlds of Building Information Modeling (BIM) and Business Process Modeling (BPM) treating occupants as the central point of reference as well as the catalyst of this fusion, several prerequisites are set in the form of intermediate or main Scientific and Technological objectives. The overall project success will be defined by the efficiency and effectiveness of the appropriate synthesis as well as the individual quality of these specific achievements. More specifically:

  • Objective 1: The establishment of a Hybrid Enterprise Modelling Approach combining different modelling methods best suited on each separate aspect of the enterprise, efficiently covering individual requirements and attributes of each aspect (people, organization, processes, activities, assets, etc.) while ensuring the symmetry between energy performance and business performance. Taking into account the aforementioned identified requirements imposed by the Adapt4EE vision, the major objective in the enterprise and business modelling domain will be in the area of the application of Hybrid Method Engineering, adapting already existing (and/or designing new) modelling languages toward energy efficiency as one of the core KPI’s for sustainable development and execution. The project will also deliver a complete set of Open Reference Business Models, based on the analysis of data drawn from the pilot sites and domains (Hospitals and Multipurpose Office/Commercial Spaces).
  • Objective 2: The design and development of innovative algorithms and techniques for automatically extracting building Occupancy based on low-cost privacy preserving sensors (depth/range cameras, etc.). The main objective will be to deliver an occupancy measurement application, which utilizing a multi-sensorial cloud comprised of depth cameras, will be able to automatically extract detailed occupancy information (occupancy location, occupancy trajectories, etc.) from an indoor multi-space environment. The module will be a real-time system providing and storing only the extracted detailed high level occupancy information. Its interest goes beyond the scope of Adapt4EE, since it can also be used, in the future, to assist online building management, facility management platforms, etc.
  • Objective 3: The design and development of innovative algorithms and techniques for automatically extracting Occupancy Patterns. Occupancy Models will be trained and fine-tuned based on real life evidence captured and extracted by the Occupancy Measurement system. The main objective will be to deliver optimal Occupancy Models, further enhancing typical periodic or scheduled business events and episodes captured by the Hybrid Enterprise Modelling Approach, analysing in detail and representing occupant patterns within the enterprise, capturing energy-related activities, namely “skeleton activities”, that directly affect enterprise energy performance. Subsequently, the generated models will be applied either to existing or new simulation tools, allowing for detailed energy performance evaluation of different construction design alternatives.
  • Objective 4: The development and evaluation of a Multi-Agent Based Holistic Modelling and Simulation Framework (method, algorithms and tools), based on the extracted Occupancy Models, Energy Models and Business Processes Models. The agent based management framework will exploit real-life evidence flowing within the multi-sensorial network, observed enterprise network state and dynamics occurring at various spatio-temporal and dynamic scales. In particular, the agent-based scheduling solutions in operations will exploit the acquired distributed resource constrained multi-project scheduling models and mechanisms which are adaptive to the contexts and the uncertainty at hand or foreseen at various spatio-temporal and dynamic scales and provide an Integrated Enterprise Operational and Energy Performance Model.
  • Objective 5: The establishment of an Integrated Enterprise Energy Performance Model that extends current Energy Performance Models by incorporating and integrating multiple dimensions:
    • the physical sub-system (buildings and their energy-consuming equipment);
    • the human sub-system (occupants, with their occupancy and usage behaviour);
    • the Enterprise sub-system (enterprise business processes and business goals, and the way they impact human behaviour and the cost/benefit analysis of energy usage), and
    • the general surrounding environment.

      By directly incorporating the Enterprise as a specific actor, this performance model is expected to better adjust to business domains.

  • Objective 6: The design and implementation of an Open Semantic Based Middleware for Integrated Management of Multi-Sensorial Clouds, allowing for integrated, unified and consistent management of all devices comprising the multi-sensorial network as a single organization. Furthermore, an enhanced Adapt4EE Device Ontology and respective Inference Rules will be produced incorporating Energy Efficiency, Building Information (BIM) and Business Modelling (BPM) aspects..
  • Objective 7: The design and implementation of a semantic model will be used as the common shared vocabulary for descripting of the overall enterprise model. The Adapt4EE common information model will be based on expressive semantic vocabulary used as a uniform way of representing and querying the information in run-time system components. Once the physical data from the information sources are mapped to the semantic model, and the semantic model itself enhances the description of this data, information is transformed to knowledge, which can be extended and queried in a very flexible way. Furthermore, a novel ontology (Adapt4EE Ontology) for enterprise modelling, combining building information model (BIM), occupancy information, energy related information, business processes (BPM) & activities, comfort, etc. is going to be designed and implemented. Related existing non-semantic models will be annotated, enhanced or upgraded to advanced knowledge models, like gbXML
  • Objective 8: To deliver innovative Visualization and Interaction Mechanisms for the detection of complex spatiotemporal patterns of space occupancy and energy consumption based on novel visual analytics techniques. Towards this direction innovative visual analytics techniques will be designed for performing hypothesis testing and also evaluating dynamic scenarios, based on appropriate visual representations that incorporate occupancy patterns as well as energy consumption profile information and corresponding trends within the typical building information models. The project will develop a fully- fledged UI visualization framework based on visual analytics. Within the proposed framework alternative ways of exploiting spatio-temporal representations of (observed and/or assumed) geometry, occupancy, environmental and performance data in order to allow users to visualize and explore how this information changes through time in a spatio-temporal correlation of multiple representation models (visual, textual, time-series, graphs, vectors, etc.) and in multiple visualization environments (Visual Analytics Techniques).
  • Objective 9: Design and implement an indicative multi-sensorial network, dynamically incorporating a large number of heterogeneous input sources able to provide accurate monitoring data related with space occupancy, energy consumption, comfort levels and environmental quality. To evaluate this multi-sensorial network on real life conditions and on the specific business domains addressed by the Project. This sensing network will be based on heterogeneous sensors (light, motion, CO2, temperature, relative humidity, existing infrastructure on video-surveillance, depth/range image generators, energy consumption, etc.) in order to provide an all-inclusive perspective of covered spaces. Its interest goes beyond the scope of Adapt4EE, since it can also be used, in the future, to assist online energy management platforms with enhanced and more detailed information.

Last Update: 27/11/2014 16:21