Developing a methodological framework for adopting digitalization for deconstruction planning

Jin, Ruoyu; Panuwatwanich, Kriengsak; Adamu, Zulfikar A.; Madanayake, U.; Ebohon, Obas John

doi:10.1063/5.0071722

Cited by 3 publications

(3 citation statements)

References 38 publications

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“…In the demolition phase of a building, the adoption of Digital Twins (DT) is driven by factors that enhance process efficiency, safety, and sustainability . Utilizing data from a building's entire development process, DT creates effective demolition plans, offering a predictive and adaptive planning approach that minimizes unforeseen risks (Jin et al 2021). DT also promotes sustainable resource management and waste reduction by advocating the use of environmentally friendly materials, which contributes to resource conservation and diminishes environmental impact (Yang, Lv, and Wang 2022).…”

Section: Demolition Phasementioning

confidence: 99%

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A review of drivers and barriers of Digital Twin adoption in building project development processes

Jahangir,

Schultz,

Kamari

2024

ITcon

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Over the past few years, the AECO Industry has undergone a shift toward digital transformation, with a growing trend towards adopting innovative technologies such as Digital Twin (DT). DT offers a wide range of applications throughout the building development process. However, some specific factors impede its widespread adoption in the building industry. This study aims to systematically review the available literature on the building project development process from the perspective of DT, with a particular focus on predictive simulations, i.e., co-sims. The review provides a comprehensive overview of drivers and barriers to DT adoption through an analysis of 147 studies between 2013 and 2023. The research identifies seven external and 41 internal drivers, including efficient project management and monitoring, predictive maintenance, and the collection and visualization of real-time data, all of which contribute to improved decision-making processes and reduced operational expenses. Further, the study identifies nine external and 31 internal barriers that impede the adoption of DT in the building development process. These barriers encompass challenges such as a high initial investment cost, a scarcity of a skilled workforce, difficulties in data interoperability, and resistance to change within the organization. A key outcome of the literature review is having identified the opportunity to exploit technologies developed in the automotive sector that enable a seamless integration of specialized simulator models in building development processes, resulting in collaborative simulations. Thus, we propose the concept of a Building Simulation Identity Card (BSIC) to be pursued in future research that would enable stakeholders to address the challenges of collaboration, cooperation, coordination, and communication by creating a common vocabulary to effectively facilitate the adoption of DT in the building's development process.

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Section: Demolition Phasementioning

confidence: 99%

“…Table 4 represents the internal and external barriers to the adoption of DT. External (Jin et al 2021;…”

Section: Barriers To the Adoption Of Dt In The Building Development P...mentioning

confidence: 99%

A review of drivers and barriers of Digital Twin adoption in building project development processes

Jahangir,

Schultz,

Kamari

2024

ITcon

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“…Given this, the exploration and adoption of digital technologies could enable a shift toward the circular paradigm in the Architecture, Engineering and Construction (AEC) sector [13], with the goal of carbon-free buildings by 2050, in line with the Glasgow Climate Pact [14,15]. In particular, digitizing and automating the process of material reuse in the built environment can facilitate the connection of actors across the value chain through a common methodology by enabling information gathering and sharing [16].…”

Section: Introductionmentioning

confidence: 99%

Automating building element detection for deconstruction planning and material reuse: A case study

Gordon

Batallé

Wolf

et al. 2023

Automation in Construction

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Circular Economy in the Built Environment Management Supported by Digital Twin. A Review

Marchionni,

Corneli

2024

2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)

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Developing a methodological framework for adopting digitalization for deconstruction planning

Cited by 3 publications

References 38 publications

A review of drivers and barriers of Digital Twin adoption in building project development processes

A review of drivers and barriers of Digital Twin adoption in building project development processes

Automating building element detection for deconstruction planning and material reuse: A case study

Circular Economy in the Built Environment Management Supported by Digital Twin. A Review

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