Paradigm of Digital Twin Application in Project Management in Architecture, Engineering and Construction

With the growing trend of adoption of advanced technologies like, building information modeling, artificial intelligence, wireless network, the collaboration and integration of these technologies into digital twin become more prominent in architecture, engineering and construction (AEC) industry in view of the nature and scale of AEC industry which efficiently adopted the digital twin. Digital twin is provided to be effective for AEC professions for design and project management. The digital concept is continuously developing and it is vital for AEC professionals and other stakeholders to understand the digital twin concept and the adoption of various advanced building technologies related to the AEC industry. This paper is to review the application of digital twins application in project management in AEC industry and highlight the challenge of AEC partitioners faced by the revolution of technologies including digital twins and building information modelling (BIM) for further research and future study.


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[1] Abdelali Agouzoul, Mohamed Tabaa, Badr Chegar, Emmanuel Simeu, Abbas Dandache, Karim Alami, Towards a Digital Twin model for Building Energy Management: Case of Morocco, The 12th International Conference on Ambient Systems, Networks and Technologies (ANT) March 23-26, 2021, Warsaw, Poland, Procedia Computer Science 184 (2021) 404–410
[2] A. Fuller, Z. Fan, C. Day, and C. Barlow, “Digital Twin: Enabling Technologies, Challenges and Open Research,” IEEE Access, vol. 8, 2020, doi: 10.1109/ACCESS.2020.2998358
[3] Abhishek Relekar, Piotr Smolira, Ekaterina Petrova, Kjeld Svidt, Enabling Digital Twin with Advanced Visualization and Contextualization of Sensor Data with BIM and Web Technologies, Proc. of the Conference CIB W78 2021, 11-15 October 2021, Luxembourg
[4] Abiola A. Akanmu, Chimay J. Anumba, Omobolanle O. Ogunseiju (2021). Towards next generation cyber-physical systems and digital twin for construction. Journal of Information Technology in Construction (ITcon), Special issue: ‘Next Generation ICT - How distant is ubiquitous computing?’, Vol. 26, pg. 505-525, DOI: 10.36680/j.itcon.2021.027
[5] Afiqah Ngah Nasaruddin, Teruaki Ito, Boon Tuan Tee, Digital Twin Approach to Building Information Management, The Proceedings of Manufacturing Systems Division Conference · September 2018 DOI: 10.1299/jsmemsd.2018.304
[6] Amandeep Midha, CommuniTwin: Building a Smart City Digital Twin for Predictive Administration, Technical Report · August 2019 DOI: 10.13140/RG.2.2.34849.76645
[7] Anis Assad Neto, Elias Ribeiro da Silva, Fernando Deschamps, Edson Pinheiro de Lima, Digital twin in manufacturing: An assessment of key features, https://doi.org/10.1016/j.procir.2020.05.222
[8] Armando Trent, Gabriel Wurzer, Ugo Maria Coraglia, A Digital Twin for Directing People Flow in Preserved Heritage Buildings, Conference Paper · December 2019 DOI: 10.5151/proceedings-ecaadesigradi2019_479
[9] Bynum, P.; Issa, R.R.A.; Olbina, S. Building Information Modeling in Support of Sustainable Design and Construction. J. Constr. Eng. Manag. 2013, 139, 24–34.
[10] C. Boje & S. Kubicki, A. Zarli, Y. Rezgui, A Digital Twin factory for construction, Conference Paper · September 2021
[11] Christian Vering, Sebastian Borges, Daniel Coakley, Hannah Krützfeldt1, Philipp Mehrfeld, Dirk Müller, Digital Twin Design with On-Line Calibration for HVAC Systems in Buildings, Conference Paper, September 2021
[12] Coupry, C.; Noblecourt, S.; Richard, P.; Baudry, D.; Bigaud, D. BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review. Appl. Sci. 2021, 11, 6810. https://doi.org/10.3390/ app11156810
[13] D.-G. Joe Opoku, S. Perera, R. Osei-Kyei, M. Rashidi, Digital twin application in the construction industry: A literature review, Journal of Building Engineering, https://doi.org/10.1016/ j.jobe.2021.102726.
[14] Dimitris Mantas, A Digital Twin Application for the Optimization of Building Energy Consumption and Human Comfort, DOI: 10.13140/RG.2.2.11774.72007
[15] Dimitris Mavrokapnidis, Kyriakos Katsigarakis, Pieter Pauwels, Ekaterina Petrova, Ivan Korolija, and Dimitrios Rovas. 2021. A linked-data paradigm for the integration of static and dynamic building data in Digital Twin. In The 1st ACM International Workshop on Big Data and Machine Learning for Smart Buildings and Cities (BuildSys ’21), November 17–18, 2021, Coimbra, Portugal. ACM, Coimbra, Portugal, 4 pages. https://doi.org/10.1145/3486611. 3491125
[16] Dileep, G. (2020). A survey on smart grid technologies and applications. Renewable Energy, 146, 2589-2625.
[17] D. Jones, C. Snider, A. Nassehi, J. Yon, and B. Hicks, “Characterising the Digital Twin: A systematic literature review,” CIRP J. Manuf. Sci. Technol., vol.29, 2020, doi: 10.1016/j.cirpj.2020.02.002.
[18] E. H. Glaessgen and D. S. Stargel, “The digital twin paradigm for future NASA and U.S. Air force vehicles,” Collect. Tech. Pap. - AIAA/ASME/ASCE/AHS/ASC Struct. Struct. Dyn. Mater. Conf., pp. 1–14, 2012, doi: 10.2514/6.2012- 1818.
[19] Fernández-Mora, Víctor1; Yepes, Víctor, Constructability criterion for structural optimization in BIM and Hybrid Digital Twin, EAAE – ARCC International Conference June, 10-13,2020 | Valencia, Doi: http://dx.doi.org/10.4995/EAAE-ARCC-IC-2020.2020.XXXX
[20] Haibo Fenga, Qian Chenb, Borja Garcia de Sotob, Application of digital twin technologies in construction: an overview of opportunities and challenges, 38th International Symposium on Automation and Robotics in Construction (ISARC 2021)
[21] https://www.ibm.com/hk-en/topics/what-is-a-digital-twin
[22] Jisong Zhang,Lihua Zhao,Guoqian Ren,Haijiang Li, Xiaofei Li, Special Issue “Digital Twin Technology in the AEC Industry”, Advances in Civil Engineering, Volume 2020, Article ID 8842113, 18 pages, https://doi.org/10.1155/2020/8842113
[23] Jonas Schlenger, Data structure for realizing a digital twin of construction processes, Conference Paper · September 2021
[24] Kan C., MSc1 and Anumba C. J., FREng, Ph.D., D.Sc., Dr.h.c., P.E., FASCE, Digital Twin as the Next Phase of Cyber-Physical Systems in Construction, Conference Paper · June 2019, DOI: 10.1061/9780784482438.033
[25] Kaushik Selva Dhanush Ravi, Ming Shan Ng, Jesús Medina Ibáñez and Daniel Mark Hall, Real-time Digital Twin of On-site Robotic Construction Processes in Mixed Reality, 38th International Symposium on Automation and Robotics in Construction (ISARC 2021)
[26] Kaewunruen S and Xu N (2018) Digital Twin for Sustainability Evaluation of Railway Station Buildings. Front. Built Environ. 4:77. doi: 10.3389/fbuil.2018.00077
[27] Lee, D.; Lee, S. Digital Twin for Supply Chain Coordination in Modular Construction. Appl. Sci. 2021,11,5909. https://doi.org/ 10.3390/app11135909
[28] Liang Zhao,1 Hong Zhang,1,2 Qian Wang,3 and Haining Wang, Digital-Twin-Based Evaluation of Nearly Zero-Energy Building for Existing Buildings Based on Scan-to-BIM, Advances in Civil Engineering, 9 April 2021
[29] Min Deng, Carol C. Menassa, Vineet R. Kamat, From BIM to Digital Twin: A Systematic Review of the Evolution of Intelligent Building Representations in the AEC-FM Industry, Journal of Information Technology in Construction - ISSN 1874-4753
[30] Mukta, M. Y., Rahman, M. A., Asyhari, A. T., & Bhuiyan, M. Z. A. (2020). IoT for energy efficient green highway lighting systems: Challenges and issues. Journal of Network and Computer Applications, 158, 102575.
[31] Mahmoud El Jazzar1, Melanie Piskernik, Hala Nassereddine, Digital Twin in construction: An Empirical Analysis, Conference Paper · May 2020.
[32] Mario Lamagna, Daniele Groppi, Meysam N. Nezhad, Giuseppe Piras, A Comprehensive Review on Digital Twin for Smart Engery Management System, Int. J. of Energy Prod. & Mgmt., Vol. 6, No. 4 (2021) 323–334
[33] Mêda, P.; Calvetti, D.; Hjelseth, E.; Sousa, H. Incremental Digital Twin Conceptualisations Targeting Data-Driven Circular Construction. Buildings 2021, 11, 554. https://doi.org/10.3390/ buildings11110554
[34] Nazirul Fariq Mohd Kassim, Digtal Twin: What it means for future construction?, Universiti Teknologi Malaysia, Johor Bahru, Malaysia 17 -19 August 2020
[35] Nikolai Bolshakov1, Vladimir Badenko1, Vladimir Yadykin1, Alberto Celani2 and Alexander Fedotov, Digital twin of complex technical systems for management of built environment, IOP Conf. Series: Materials Science and Engineering 869 (2020) 062045 doi:10.1088/1757-899X/869/6/062045
[36] Qiuchen Lu, Xiang Xie, Ajith Kumar Parlikad, Jennifer Mary Schooling, Eirini Konstantinou, Moving from Building Information Models to Digital Twin for Operation and Maintenance, Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction · January 2020 DOI: 10.1680/jsmic.19.00011
[37] R. Al-Sehrawy and B. Kumar, “Digital Twin in Architecture, Engineering, Construction and Operations. A Brief Review and Analysis,” in Proceedings of the 18th International Conference on Computing in Civil and Building Engineering, 2021, pp. 924–939.
[38] Sacks R., Brilakis I., Pikas E., Xie H. S. and Girolami M. Construction with digital twin information. Data-Centric Engineering, 1, 2020.
[39] Sakdirat Kaewunruen, Panrawee Rungskunroch and Joshua Welsh, A Digital-Twin Evaluation of Net Zero Energy Building for Existing Buildings, Sustainability 2019, 11, 159; doi:10.3390/su11010159
[40] Sepasgozar, S.M.E.; Hui, F.K.P.; Shirowzhan, S.; Foroozanfar, M.; Yang, L.; Aye, L. Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction. Sustainability 2021, 13, 161. https://dx.doi.org/10.3390/su13010161
[41] Siavash H. Khajavi, Naser Hossein Motlagh, Alireza Jaribio0n, Liss C. Werner, and Jan Holmstorm, Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings, Digital Object Identifier 10.1109/ACCESS.2019.2946515
[42] Succar, B.; Kassem, M. Macro-BIM adoption: Conceptual structures. Autom. Constr. 2015, 57, 64–79.
[43] Tagliabue, L.C.; Re Cecconi, F.; Maltese, S.; Rinaldi, S.; Ciribini, A.L.C.; Flammini, A. Leveraging Digital Twin for Sustainability Assessment of an Educational Buildings. Sustainability 2021, 13, 480. https://doi.org/10.3390/su13020480
[44] Tao, F., Q.Qi.2019. “Make More Digital Twin.” Nature 573(7775):490–491. doi:10.1038/d41586-019-02849-1.
[45] Tao F., Cheng J., Qi Q., Zhang M., Zhang H. and Sui F. Digital twin-driven product design, manufacturing and service with big data. International Journal of Advanced Manufacturing Technology, 94(9–12): 3563–3576, 2018.
[46] Tao, F., H. Zhang, A. Liu, and A. Y. C. Nee. 2019. “Digital Twin in Industry: State-of-the-Art.” IEEE Transactions on Industrial Informatics 15 (4): 2405–2415. IEEE. doi:10.1109/TII.2018.2873186.
[47] Tolga Erol, Arif Furkan Mendi, Dilara Doğan, Digital Transformation Revolution with Digital Twin Technology, Conference Paper · October 2020 DOI: 10.1109/ISMSIT50672.2020.9254288
[48] Yang Liu,Yuhui Sun,Ang Yang, Jing Gao, Digital Twin-Based Ecogreen Building Design, 7 June 2021.
[49] Yang Peng, Ming Zhang, Fangqiang Yu, Jinglin Xu, and Shang Gao, Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration, Advances in Civil Engineering Volume 2020, Article ID 8846667, 13 pages https://doi.org/10.1155/2020/8846667
[50] Ye Zhang, A. Meina, Xuhao Lin, Kun Zhang, and Zhen Xu, Digital Twin in Computational Design and Robotic Construction of Wooden Architecture, Advances in Civil Engineering, 2 April 2021
[51] Yokesh. R, Digital Twin and its Application, International Research Journal of Modernization in Engineering Technology and Science Volume:02/Issue:06/June -2020
[52] Ziyue Chen, Lizhen Huang, Digital Twin in Circular Economy: Remanufacturing in Construction, BEYOND 2020 – World Sustainable Built Environment conference, IOP Conf. Series: Earth and Environmental Science 588 (2020) 032014 doi:10.1088/1755-1315/588/3/032014
[53] Zhongjun Ni1, Petra Eriksson, Yu Liu1, Magnus Karlsson and Shaofang Gong, Improving energy efficiency while preserving historic buildings with digital twin and artificial intelligence, IOP Conf. Series: Earth and Environmental Science 863 (2021) 012041 doi:10.1088/1755-1315/863/1/012041
[54] Z. Liu, N. Meyendorf, and N. Mrad, ‘‘The role of data fusion in predictive maintenance using digital twin,’’ in Proc.Annu.Rev.Prog. Quant. Nondestruct. Eval., Provo, UT, USA, 2018, Art. no. 020023.
[55] Zoe Chevallier, Beatrice Finance, and Benjamin Cohen Boulakia, A Reference Architecture for Smart Building Digital Twin, Conference Paper · May 2020