MEP modelling plays a central role in the development of digital twins within the BIM methodology, as it supports the management of building systems and their interaction with sensor networks governing building performance and operation. Within the PNRR Tecnodigit research project, MEP modelling was applied to the Ion Beam Facility underground experiment, starting from the electrical system. A key challenge was the development of an IFC model compliant with the system hierarchy defined by ISO/IEC 81346, in accordance with the requirements of LNGS technicians and the shared WBS/PBS. The IFC structure was required to both reflect the organization imposed by the standard and ensure explicit links between electrical system components and the architectural and structural domains. This paper discusses the main issues related to as-built BIM MEP modelling and presents the adopted solutions to comply with standard specifications, overcoming established modelling practices and software limitations.

As-built BIM and MEP development. The modelling of electrical systems of IBF Bellotti and related IFC issues

M. Abita
;
C. Mariani;R. Morganti;V. Tomei;U. Di Sabatino;
2026-01-01

Abstract

MEP modelling plays a central role in the development of digital twins within the BIM methodology, as it supports the management of building systems and their interaction with sensor networks governing building performance and operation. Within the PNRR Tecnodigit research project, MEP modelling was applied to the Ion Beam Facility underground experiment, starting from the electrical system. A key challenge was the development of an IFC model compliant with the system hierarchy defined by ISO/IEC 81346, in accordance with the requirements of LNGS technicians and the shared WBS/PBS. The IFC structure was required to both reflect the organization imposed by the standard and ensure explicit links between electrical system components and the architectural and structural domains. This paper discusses the main issues related to as-built BIM MEP modelling and presents the adopted solutions to comply with standard specifications, overcoming established modelling practices and software limitations.
2026
978-88-6952-204-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/285179
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