TY - JOUR
T1 - Integrating Digital Twin and Blockchain for dynamic building Life Cycle Sustainability Assessment
AU - Figueiredo, Karoline
AU - Hammad, Ahmed W.A.
AU - Pierott, Rodrigo
AU - Tam, Vivian W.Y.
AU - Haddad, Assed
N1 - Publisher Copyright:
© 2024
PY - 2024/11/15
Y1 - 2024/11/15
N2 - The Life Cycle Sustainability Assessment (LCSA) methodology offers a promising solution to achieve a sustainable built environment by simultaneously considering all sustainability pillars. However, traditional LCSA applications are typically confined to the early design stages of building projects, where they assess the entire life cycle of a building using static historical data rather than being employed as a decision-making tool throughout all project phases with real-time data integration. This research addresses these limitations by investigating the integration of LCSA with Digital Twin (DT) and Blockchain technologies to enhance sustainability assessments in building projects. The primary aim is to develop a dynamic framework that incorporates real-time data across a building's entire life cycle. This study utilizes a systematic literature review to identify current trends and gaps, leading to the development of an integrative framework validated through a case study of a typical residential building. The findings demonstrate that integrating DT facilitates continuous monitoring and assessment of environmental, economic, and social impacts, while Blockchain ensures data security, integrity, and transparency. This novel approach supports real-time, iterative LCSA applications, enhancing decision-making from design through construction and maintenance. By showcasing a practical application of DT and Blockchain in real-world scenarios, this framework significantly advances sustainable practices in construction. The originality of this research lies in its holistic approach, combining DT and Blockchain to deliver a more accurate, reliable, and comprehensive sustainability assessment model, setting a new standard for future developments in the field.
AB - The Life Cycle Sustainability Assessment (LCSA) methodology offers a promising solution to achieve a sustainable built environment by simultaneously considering all sustainability pillars. However, traditional LCSA applications are typically confined to the early design stages of building projects, where they assess the entire life cycle of a building using static historical data rather than being employed as a decision-making tool throughout all project phases with real-time data integration. This research addresses these limitations by investigating the integration of LCSA with Digital Twin (DT) and Blockchain technologies to enhance sustainability assessments in building projects. The primary aim is to develop a dynamic framework that incorporates real-time data across a building's entire life cycle. This study utilizes a systematic literature review to identify current trends and gaps, leading to the development of an integrative framework validated through a case study of a typical residential building. The findings demonstrate that integrating DT facilitates continuous monitoring and assessment of environmental, economic, and social impacts, while Blockchain ensures data security, integrity, and transparency. This novel approach supports real-time, iterative LCSA applications, enhancing decision-making from design through construction and maintenance. By showcasing a practical application of DT and Blockchain in real-world scenarios, this framework significantly advances sustainable practices in construction. The originality of this research lies in its holistic approach, combining DT and Blockchain to deliver a more accurate, reliable, and comprehensive sustainability assessment model, setting a new standard for future developments in the field.
KW - BIM
KW - Blockchain
KW - Digital Twin
KW - Life Cycle Sustainability Assessment
KW - Sustainable construction
UR - http://www.scopus.com/inward/record.url?scp=85206290825&partnerID=8YFLogxK
U2 - 10.1016/j.jobe.2024.111018
DO - 10.1016/j.jobe.2024.111018
M3 - Article
AN - SCOPUS:85206290825
SN - 2352-7102
VL - 97
JO - Journal of Building Engineering
JF - Journal of Building Engineering
M1 - 111018
ER -