Analysing the Value of Digital Twinning Opportunities in Infrastructure Asset Management

Author:

Vieira João1ORCID,Almeida Nuno Marques de1ORCID,Poças Martins João2ORCID,Patrício Hugo3ORCID,Morgado João Gomes3ORCID

Affiliation:

1. CERIS–Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisboa, Portugal

2. CONSTRUCT-GEQUALTEC—Faculty of Engineering (FEUP), University of Porto, 4200-465 Porto, Portugal

3. Infraestruturas de Portugal, S.A., 2809-013 Almada, Portugal

Abstract

Many studies and technology companies highlight the actual or potential value of Digital Twins, but they often fail to demonstrate this value or how it can be realised. This gap constitutes a barrier for infrastructure asset management organisations in their attempt to innovate and incorporate digital twinning opportunities in their decision-making processes and their asset management planning activities. Asset management planning activities often make use of existing value-based decision-support tools to select and prioritise investments in physical assets. However, these tools were not originally designed to consider digital twinning investments that also compete for funding. This paper addresses this gap and proposes a value-based analysis for digital twinning opportunities in infrastructure asset management. The proposed analysis method is tested with three rail and road infrastructure case studies: (i) real-time monitoring of a power transformer; (ii) BIM for the design, construction, and maintenance of a new railway line; and (iii) infrastructure displacement monitoring using satellite data (InSAR). The study shows that the proposed method provides a conceptual construct and a common language that facilitates the communication of digital twinning opportunities in terms of their relevance in different contexts. The proposed method can be used to support the investment decision-making process for investments in both physical and non-physical assets and help derive maximum value from the limited available resources.

Funder

European Union’s Horizon 2020 research and innovation programme

Foundation for Science and Technology

CONSTRUCT—Instituto de I&D em Estruturas e Construções

Publisher

MDPI AG

Reference49 articles.

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