Author(s)

FRANCESCO RUPERTO, STEFANIA STRAPPINI

Abstract

The digital transformation of the construction sector is aimed at increasing the levels of effectiveness and efficiency of construction and operating project management, improving, the expected levels of sustainability and favoring risk management with a data-based knowledge. The paper describes, in methodological and operational terms, the main research and development activities of the ENEL HQVRM – Digital Twin that is aimed at project management objectives of ENEL HQVRM Task Force for the new ENEL Head Quarters in Rome Viale Regina Margherita. The paper mainly illustrates the experimentation, conducted by a joint ENEL–CITERA working group, of modalities for platforming the project’s organizational model, which allows for the collection, sharing and measurement in streaming of the main parameters and the simultaneous verification of compliance with contractual provisions. The HQVRM (Head Quarters Viale Regina Margherita) – Digital Twin is based on a common data environment (CDE) of the organizational model and from the point of view of technologies is enabled by cloud computing, artificial intelligence, machine learning, big data and building information modeling (BIM). HQVRM–CDE represents the connective of the digital ecosystem in which information models are organized depending on the need and the objectives to be pursued in particular for the temporal, economic, safety and sustainability aspects. From the client’s perspective, the research investigates and experiments by implementing a CDE, replicable and scalable Digital Twin, in order to make the potential of ICT technologies available to project stakeholders in managing the complexities of a building for office use high architectural and representative value, with significant structural interventions and high plant integration for a total amount of €150 million in more than 3 years long works. An intervention that summarizes in itself the meanings of complexity as referable to those works characterized by particular complexity in relation to the type of works, the use of innovative materials and components, the execution in places that present logistical difficulties or particular environmental issues.

Keywords

project management, digital twin, BIM, artificial intelligence, cognitive services