When you think about the Architecture, Engineering and Construction (AEC) Industry people tend to refers to new buildings, but nowadays the recovery of existing ones is increasingly the subject of the research. The current historical context raises this issue at the center of numerous thought due both to economic and environmental conditions. So, the need to refurbish the cultural heritage is becoming more important than the construction of new buildings. Modern technologies allow professionals to do this to turn the buildings into structures capable to meet the users' confort with a considerable energy saving. Italy is trying to make a change to the construction industry through the national InnovANCE project, which aims to develop the first national database able to share information among professionals through the help of Building Information Modeling (BIM). In this way the subject involved in a construction process can update their way of working, with a consequent time and cost saving. This paper aims to present the way in which the InnovANCE project can be considered as the key for Italy to change the way to conceive the building industry, using a case study such as the old thermal power of Politecnico di Torino, starting from the survey step. The methodology followed to obtain the 3D model will be described, starting from the data of a topographic and a laser scanner survey and from an archival documents research.

The purpose of this paper is to show some results coming from the international Interreg-AlpStone project, a research whose main aim is the protection and valorisation of a rural Cultural Heritage, theme of recent growing interest. In particular the background of this contribute is the traditional stone architecture placed in the territory between Italy and Switzerland, while into the foreground is put the method to right document, archive and analyse information about the objects of study. The response comes from BIM technologies (acronym of Building Information Modeling) which objective is the creation of a dynamical and interoperable system allowing the share of information through a unique database. If these methods have been largely employed on new constructions, they still haven't been enough tested on the field of historical architecture. In order to fill this gap, the paper suggest a method leading to the creation of a Cultural Heritage information system, which arise during the survey phase and continue through the detection of different building information, the proposal of recovery solutions, the asset georeferentiation on the territory and finally the moment of sharing information on a web platform. The creation of an architectural database is made possible by a survey based on point clouds. The latter constitute then the input data for the creation of a 3D model made with a parametric software allowing the increase of various kind of information. The future work plans will complete this project by locating the Cultural Heritage models on a webGIS.

In this work, we present a novel distributed software platform for patients with neurodegenerative diseases that affect motor neurons. The linking point between this wide range of diseases is the strong social impact they have, degrading the freedom of action of the patient; the loss of functionality of motor neurons, caused by progressive degradation, makes the body unable to move. Thus, our solution aims at making patients more autonomous in their daily activities and at improving remote health-care monitoring for medical staff by combining virtual reality, building information modeling (BIM), the Internet of Things (IoT), and eye-tracking technologies. Starting from the 3-D parametric BIM model, patients can virtually explore the surrounding environment (through eye movements) and control the environment by interacting with IoT smart devices, thus performing different tasks.

The digital and ecological transition of the industrial sector requires methodological tools that integrate information modelling, performance simulation, and operational decision support. In this context, the present study introduces and tests a semi-automatic BIM-to-BEM framework to optimise human–machine interaction and support critical data interpretation through Graphical User Interfaces. The objective is to propose and validate a BIM-to-BEM workflow for an existing industrial facility to enable comparative evaluation of energy retrofit scenarios. The information model, developed through an interdisciplinary federated approach and calibrated using parametric procedures, was exported in the gbXML format to generate a dynamic, interoperable energy model. Six simulation scenarios were defined incrementally, including interventions on the building envelope, Heating, Ventilation and Air Conditioning (HVAC) systems, photovoltaic production, and relamping. Results are made accessible through dashboards developed with Business Intelligence tools, allowing direct comparison of different design configurations in terms of thermal loads and indoor environmental stability, highlighting the effectiveness of integrated solutions. For example, the combined interventions reduced heating demand by up to 32% without compromising thermal comfort, while in the relamping scenario alone, the building could achieve an estimated 300 MWh reduction in annual electricity consumption. The proposed workflow serves as a technical foundation for developing an operational and evolving Digital Twin, oriented toward the sustainable governance of building–system interactions. The method proves to be replicable and scalable, offering a practical reference model to support the energy transition of existing industrial environments.

The current literature on electrical system maintenance highlights three technology domains—Building Information Modeling (BIM), Digital Twin (DT), and extended reality (XR)—that have independently demonstrated strong potential for improving lifecycle information management, predictive analytics, and operational support. However, their convergence remains largely underexplored, particularly in electrical system maintenance. This paper provides a structured review of BIM–DT–XR convergence in electrical system lifecycle management, examining their roles across lifecycle phases and their integration through literature synthesis and cross-domain implementation evidence. BIM is analyzed as a basis for modeling and integrating facility management with electrical asset lifecycles; DT as a framework for dynamic system representation and applications in electrical and power systems; and XR as a means of visualizing and interacting with BIM-DT environments. Cross-domain implementation evidence from an industrial electrical facility and a tertiary smart-building pilot shows that BIM–DT–XR integration is technically feasible at pilot scale. However, the analysis identifies five structural integration gaps: semantic misalignment between building-oriented IFC and grid-oriented CIM ontologies; fragmented standard adoption; inconsistent data governance and naming practices; validation approaches focused on syntactic rather than dynamic model fidelity; and the separation of XR visualization from predictive DT capabilities. The implementation evidence further indicates that real-world deployment remains constrained by data quality limitations, integration complexity, cost factors, and interoperability with legacy systems. The review concludes that, despite the maturity of individual technologies, their effective application depends on advances in semantic alignment, lifecycle data governance, validation of dynamic models, and scalable integration frameworks, enabling the transition toward integrated, interoperable, and lifecycle-aware infrastructures for electrical system maintenance.

This chapter presents a methodology based on Building Information Modelling (BIM) and interoperability to convert existing buildings, even historical, into smart buildings. The chapter starts describing the main concepts of BIM and interoperability in the Architecture, Engineer and Construction (AEC) industry with special attention on integrating information from heterogeneous devices deployed in the building. Then, it details the SEEMPubS (Smart Energy Efficient Middleware for Public Buildings) middleware, which consists on three layers: (i) Integration Layer, (ii) Middleware Layer, and (iii) Application Layer. The validation of the most significant results is presented using both gamification and technical approaches involving different end-users. Finally, Apps for data management are introduced with a Community Portal and an Android Application for real-time data visualization. Future works introduce the integration of smart building into smart district context.