WP6: Intelligent Systems for Adaptive Building and Mobility Management
Develop a decision support tool for adaptive building operations, improving comfort, efficiency, and sustainability with real-time data; Integrate micromobility into urban planning; Incorporate electric vehicles into building infrastructure, optimizing charging, and grid balance with predictive algorithms.
Due date: 15/12/2025 - Task leader: CERTH
This deliverable presents the development of an intelligent decision support tool aimed at enhancing the real-time monitoring and adaptive optimization of building operations i.e., the Building Operation and Management System (BOMS), developed as part of the activities of T6.1 Adaptive Building Operation and Management System. In response to growing demands for energy efficiency, user comfort, and operational flexibility, the tool leverages cutting-edge technologies—such as smart sensors, Internet of Things (IoT) devices, and deep learning models—to transform how buildings respond to dynamic conditions and evolving user needs.
A central component of this work is the implementation of a robust, scalable database that serves as the backbone for data storage, access, and analysis. A comprehensive data model has been designed to structure and standardize data collected from diverse sources, particularly the pilot sites. All incoming data from these pilots—ranging from environmental measurements to energy metrics—are systematically parsed, validated, and stored. This ensures consistency, integrity, and readiness for further processing.
Due date: 27/11/2025 - Task leader: VAIMOO
This report describes the activities and results of the AccesS project which aims to develop innovative urban micromobility solutions that are inclusive, with particular attention to the needs of elderly people and those with reduced mobility. The main objective is the design of an accessible, safe, and easy-to-use cargo e-bike, capable of improving urban accessibility and promoting sustainability in smart cities.
The design is based on a structured methodological approach starting from market analysis and stakeholder engagement, through the definition of technical requirements and engineering design. Data was collected through questionnaires and interviews involving end users, caregivers, and urban planners to identify needs, critical issues, and market opportunities. Market Analysis and Stakeholder Engagement highlights a growing demand for inclusive micromobility solutions, market gaps in terms of safety, comfort, and ease of use, and a favourable regulatory context at European level.
Due date: 20/11/2025 - Task leader: HIVE
This report presents the design and development of the EV Charging Optimizer (as part of the AccesS Suite), a modular digital tool conceived to manage EV charging in a way that balances the needs of drivers, charging point operators (CPOs), and the local grid. The optimizer is based on predictive and optimization algorithms that align charging demand with grid capacity while safeguarding accessibility requirements. Its overarching goal is to provide a smarter, safer, and more inclusive charging process that contributes to the sustainable expansion of e-mobility charging infrastructures.
The Optimizer operates by retrieving and processing diverse data sources, including metadata from charging stations, historical usage records, and grid metering data. These inputs allow the system to identify operational constraints, and design optimal schedules that avoid peak overloads.
Due date: 15/12/2025 - Task leader: CERTH
This report presents the confidential version of the deliverable, describing the development of BOMS as an intelligent decision support tool for real-time monitoring and adaptive optimization of building operations. It expands on the public version (D6.1) by including detailed pilot-level metrics, results from ontology evaluation, and in-depth data on forecasting and recommendation engines, providing a comprehensive view of the tool’s performance in real-world conditions.
The tool addresses increasing demands for energy efficiency, occupant comfort, and operational flexibility by leveraging advanced technologies such as smart sensors, IoT devices, and deep learning models. These capabilities enable buildings to respond dynamically to changing conditions and user needs.