Enhancing Space Management through Digital Twin: A Case Study of the Lazio Region Headquarters
Source abstract
Abstract
Digital Twin is becoming an increasingly powerful resource in the field of building production, replacing traditional processes in the Architecture, Engineering, Construction and Operations sector. This study is concerned with the development of a DT, enabled by Building Information Modeling, artificial intelligence, machine learning, and the Internet of Things to implement space management strategies. It proposes an application case for the Lazio Region headquarters, which has partly adopted smart working typology post-COVID-19. The aim is to create an accurate digital replica of the building based on BIM, integrated with real-time data. This will help to improve the use of space, the management of resources, and the quality of services provided to the community. It also improves energy efficiency, reducing consumption by 530.40 MWh per year and reducing greenhouse gas emissions by 641.32 tons of CO2 per year. The research proposes a holistic framework for the implementation of innovative solutions in the context of public infrastructure space management through the use of digital technology, facilitating the promotion of efficiency and sustainability in decision-making and operational processes through the application of a digital methodology.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Smart Cities and Technologies · BIM and Construction Integration
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Astronautical, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Roma, Italy
Department of Civil, Building and Environmental Engineering (DICEA), Sapienza University of Rome, 00184 Roma, Italy
References (100+)
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