ibse.hk (Building Services Engineering)
Home | What's New | People | Teaching | Research | Student Zone | Web Links | Resources | Gallery
BSE
Contents
  • Building Controls
  • Related

  • ibse.hk

  •  
     
    Digital Twin (DT) 數位對映/數碼分身
    • “A digital twin is a representation of real-world entities and their processes, synchronized with a certain frequency and fidelity” (Digital Twin Consortium)
    • “A digital twin (DT) – also referred to as digital shadow, digital replica, or digital mirror – is a digital representation of a physical asset. Linked to each other, the physical and digital twin regularly exchange data through the PBOD (Performance-Based-Optimum-Design) lifecycle and use phase. Technologies such as artificial intelligence, machine learning, sensors and the Internet of Things (IoT) allow data collection and exchange to take place at the right time. ” (Building Smart International)
    • “A digital twin is a virtual representation of an object or system that spans its life cycle, is updated through the use of real-time data, and uses simulations, machine learning, and reasonable aid to help make decisions” (IBM)
    • “A digital twin combines data that describes the physical in digital form. Within the construction sector, a digital twin is a realistic representation of assets, their processes and systems” (Digital Built Britain)
    Associations Companies Education
    Journals, Magazines
    Learning
    References
    • Abdelrahman M. M., Chong A. & Miller C., 2022. Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec, Building and Environment, 207: 108532. https://doi.org/10.1016/j.buildenv.2021.108532
    • Abdelrahman M. M. & Miller C., 2022. Targeting occupant feedback using digital twins: Adaptive spatial–temporal thermal preference sampling to optimize personal comfort models, Building and Environment, 218: 109090. https://doi.org/10.1016/j.buildenv.2022.109090
    • Agnusdei G. P., Elia V. & Gnoni M. G., 2021. Is digital twin technology supporting safety management? a bibliometric and systematic review, Applied Sciences, 11: 2767. https://doi.org/10.3390/app11062767
    • Agostinelli S., Cumo F., Guidi G. & Tomazzoli C., 2021. Cyber-physical systems improving building energy management: digital twin and artificial intelligence, Energies, 14 (8) 2338. https://doi.org/10.3390/en14082338
    • Aheleroff S., Xu X., Zhong R. Y. & Lu Y., 2021. Digital twin as a service (DTaaS) in Industry 4.0: an architecture reference model, Advanced Engineering Informatics, 47: 101225. https://doi.org/10.1016/j.aei.2020.101225
    • Aldabbas L. J., 2023. Challenges of digital twin technologies integration in modular construction: a case from a manufacturer’s perspective, International Journal of Advanced Computer Science & Applications, 14 (4) 163-167. https://doi.org/10.14569/IJACSA.2023.0140418
    • Ammar A., Nassereddine H., AbdulBaky N., AbouKansour A., Tannoury J., Urban H. & Schranz C., 2022. Digital twins in the construction industry: a perspective of practitioners and building authority, Frontier in Built Environment, 8: 834671. https://doi.org/10.3389/fbuil.2022.834671
    • AMRC, 2020. Untangling the Requirements of a Digital Twin, Advanced Manufacturing Research Centre (AMRC), The University of Sheffield. https://www.amrc.co.uk/files/document/406/1605271035_1604658922_AMRC_Digital_Twin_AW.pdf
    • Arup, 2019. Digital twin: towards a meaningful framework, Arup, London, UK. Available at http://www.arup.com/digitaltwinreport
    • Atalay M., Murat U., Oksuz B., Parlaktuna A. M., Pisirir E. & Testik M. C., 2022. Digital twins in manufacturing: systematic literature review for physical-digital layer categorization and future research directions, International Journal of Computer Integrated Manufacturing, 35 (7) 679-705. https://doi.org/10.1080/0951192X.2021.2022762
    • Attaran M. & Celik B. G., 2023. Digital Twin: Benefits, use cases, challenges, and opportunities, Decision Analytics Journal, 6: 100165. https://doi.org/10.1016/j.dajour.2023.100165
    • Autodesk, 2021. Demystifying Digital Twin For Architecture, Engineering, and Construction, Autodesk, Inc. Available at https://damassets.autodesk.net/content/dam/autodesk/www/solutions/digital-twin/architecture-engineering-construction/pdf/adsk-aec-digital-twin-ebook.pdf
    • Balla M., Haffner O., Kuˇcera E. & Cigánek J., 2023. Educational case studies: creating a digital twin of the production line in TIA Portal, Unity, and Game4Automation Framework, Sensors, 23: 4977. https://doi.org/10.3390/s23104977
    • Barachini F. & Stary C., 2022. From Digital Twins to Digital Selves and Beyond, Springer Nature, Cham. https://doi.org/10.1007/978-3-030-96412-2
    • Bartos M. & Kerkez B., 2021. Pipedream: An interactive digital twin model for natural and urban drainage systems, Environmental Modelling & Software, 144: 105120. https://doi.org/10.1016/j.envsoft.2021.105120
    • Batty M., 2018. Digital twins, Environment and Planning B: Urban Analytics and City Science, 45 (5) 817-820. https://doi.org/10.1177/2399808318796416
    • Bellavista P., Bicocchi N., Fogli M., Giannelli C., Mamei M. & Picone M., 2023. Requirements and design patterns for adaptive, autonomous, and context-aware digital twins in industry 4.0 digital factories, Computers in Industry, 149: 103918. https://doi.org/10.1016/j.compind.2023.103918
    • Bhatti G., Mohan H. & Singh R., 2021. Towards the future of smart electric vehicles: Digital twin technology, Renewable and Sustainable Energy Reviews, 141: 110801. https://doi.org/10.1016/j.rser.2021.110801
    • Bilberg A., Malik A. A., 2019. Digital twin driven human–robot collaborative assembly, CIRP Annals, 68 (1) 499-502. https://doi.org/10.1016/j.cirp.2019.04.011
    • Bjørnskov J. & Jradi M., 2023. An ontology-based innovative energy modeling framework for scalable and adaptable building digital twins, Energy and Buildings, 292: 113146. https://doi.org/10.1016/j.enbuild.2023.113146
    • Blume C., Blume S., Thiede S. & Herrmann C., 2020. Data-driven digital twins for technical building services operation in factories: a cooling tower case study, Journal of Manufacturing and Materials Processing, 4 (4) 97. https://doi.org/10.3390/jmmp4040097
    • Bolton A., et al., 2018. The Gemini Principles: Guiding values for the national digital twin and information management framework, Centre for Digital Built Britain (CDBB), University of Cambridge. https://doi.org/10.17863/CAM.32260
    • Brilakis I., Pan Y., Borrmann A., Mayer H.-G., Rhein F., Vos C., Pettinato E. & Wagner S., 2020. Built Environment Digital Twinning, Report of the International Workshop on Built Environment Digital Twinning presented by TUM Institute for Advanced Study and Siemens AG, Technical University of Munich (TUM). https://user.eng.umd.edu/~austin/ence688p.d/handouts/Siemens-Built-Environment-Digital-Twins2019.pdf
    • BSI, 2022. BSI Flex 260: v1.0 2022-01 Built environment – Digital twins overview and principles, British Standards Institution (BSI), London, UK. https://www.bsigroup.com/en-GB/blog/Built-Environment-Blog/bsi-flex-260-blog/
    • Cai J., Chen J., Hu Y., Li S. & He Q., 2023. Digital twin for healthy indoor environment: A vision for the post-pandemic era, Frontiers of Engineering Management, 10 (2) 300-318. https://doi.org/10.1007/s42524-022-0244-y
    • Camposano J. C., Smolander K. & Ruippo T., 2021. Seven metaphors to understand digital twins of built assets, IEEE Access, 9: 27167-27181. https://doi.org/10.1109/ACCESS.2021.3058009
    • CDBB, 2021. Digital Twin Toolkit: Developing the business case for your digital twin, Centre for Digital Built Britain (CDBB), University of Cambridge. https://digitaltwinhub.co.uk/files/file/62-digital-twin-toolkit/
    • Chen K., Zhu X., Anduv B., Jin X. & Du Z., 2022. Digital twins model and its updating method for heating, ventilation and air conditioning system using broad learning system algorithm, Energy, 251: 124040. https://doi.org/10.1016/j.energy.2022.124040
    • Choi Y. & Yoon S., 2023. In-situ observation virtual sensor in building systems toward virtual sensing-enabled digital twins, Energy and Buildings, 281: 112766. https://doi.org/10.1016/j.enbuild.2022.112766
    • Chursin A. A., 2021. The methods and tools for creating a digital twin of products and assessing their efficiency, In Bogoviz A. V. & Ragulina J. V. (eds.), Industry Competitiveness: Digitalization, Management, and Integration, Volume 2, p.564-571, Springer International Publishing, Cham. https://doi.org/10.1007/978-3-030-80485-5
    • Cimino C., Negri E. & Fumagalli L., 2019. Review of digital twin applications in manufacturing, Computers in Industry, 113: 103130. https://doi.org/10.1016/j.compind.2019.103130
    • Clausen A., Arendt K., Johansen A., Sangogboye F. C., Kjærgaard M. B., Veje C. T. & Jørgensen B. N., 2021. A digital twin framework for improving energy efficiency and occupant comfort in public and commercial buildings, Energy Informatics, 4 (Suppl 2) 40. https://doi.org/10.1186/s42162-021-00153-9
    • Coupry C., Noblecourt S., Richard P., Baudry D. & Bigaud D., 2021. BIM-based digital twin and XR devices to improve maintenance procedures in smart buildings: a literature review, Applied Sciences, 11 (15) 6810. https://doi.org/10.3390/app11156810
    • Crespi N., Drobot A. T. & Minerva R. (eds.), 2023. The Digital Twin, Springer International Publishing AG, Cham, Switzerland. https://doi.org/10.1007/978-3-031-21343-4
    • Davila Delgado J. M. & Oyedele L., 2021. Digital Twins for the built environment: learning from conceptual and process models in manufacturing, Advanced Engineering Informatics, 49: 101332. https://doi.org/10.1016/j.aei.2021.101332
    • Desogus G., Frau C., Quaquero E. & Rubiu G., 2023. From building information model to digital twin: a framework for building thermal comfort monitoring, visualizing, and assessment, Buildings, 13 (8) 1971. https://doi.org/10.3390/buildings13081971
    • Ding Y., Zhang Y. & Huang X., 2023. Intelligent emergency digital twin system for monitoring building fire evacuation, Journal of Building Engineering, 77: 107416. https://doi.org/10.1016/j.jobe.2023.107416
    • Ebiloma D. O., Aigbavboa C. O. & Anumba C., 2023. Towards digital twin maintenance management of health facilities in Nigeria: the need for maintenance documentation, Buildings, 13 (5) 1339. https://doi.org/10.3390/buildings13051339
    • Edtmayer H., Brandl D., Mach T., Schlager E., Gursch H., Lugmair M. & Hochenauer C., 2023. Modelling virtual sensors for real-time indoor comfort control, Journal of Building Engineering, 67: 106040. https://doi.org/10.1016/j.jobe.2023.106040
    • El Mokhtari K., Panushev I. & McArthur J. J., 2022. Development of a cognitive digital twin for building management and operations, Frontiers in Built Environment, 8: 856873. https://doi.org/10.3389/fbuil.2022.856873
    • Errandonea I., Beltrán S. & Arrizabalaga S., 2020. Digital Twin for maintenance: A literature review, Computers in Industry, 123: 103316. https://doi.org/10.1016/j.compind.2020.103316
    • Feng G., Chen Q. & de Soto B. G., 2021. Application of digital twin technologies in construction: an overview of opportunities and challenges, In the 38th International Symposium on Automation and Robotics in Construction (ISARC 2021), p. 979-986.
    • Fialho B. C., Codinhoto R., Fabricio M. M., Estrella J. C., Ribeiro C. M. N., Bueno J. M. dos S. & Torrezan J. P. D., 2022. Development of a BIM and IoT-based smart lighting maintenance system prototype for universities’ FM sector, Buildings, 12 (2) 99. https://doi.org/10.3390/buildings12020099
    • Gao C., Wang J., Dong S., Liu Z., Cui Z., Ma N. & Zhao X., 2022. Application of digital twins and building information modeling in the digitization of transportation: a bibliometric review, Applied Sciences, 12 (21) 11203. https://doi.org/10.3390/app122111203
    • Gemini Council & Lamb, K., 2022. Gemini Papers: How to enable an ecosystem of connected digital twins?, Centre for Digital Built Britain (CDBB), University of Cambridge. https://doi.org/10.17863/CAM.82193
    • Gemini Council & Lamb, K., 2022. Gemini Papers: Summary Paper, Centre for Digital Built Britain (CDBB), University of Cambridge. https://doi.org/10.17863/CAM.82192, https://www.cdbb.cam.ac.uk/files/gemini_summary.pdf
    • Gemini Council & Lamb, K., 2022. Gemini Papers: What are connected digital twins?, Centre for Digital Built Britain (CDBB), University of Cambridge. https://doi.org/10.17863/CAM.82194
    • Gemini Council & Lamb, K., 2022. Gemini Papers: Why connected digital twins?, Centre for Digital Built Britain (CDBB), University of Cambridge. https://doi.org/10.17863/CAM.82237
    • Ghenai C., Husein L. A., Al Nahlawi M., Hamid A. K. & Bettayeb M., 2022. Recent trends of digital twin technologies in the energy sector: A comprehensive review, Sustainable Energy Technologies and Assessments, 54: 102837. https://doi.org/10.1016/j.seta.2022.102837
    • Granacher J., Nguyen T.-V., Castro-Amoedo R. & Maréchal F., 2022. Overcoming decision paralysis—A digital twin for decision making in energy system design, Applied Energy, 306: 117954. https://doi.org/10.1016/j.apenergy.2021.117954
    • Greif T., Stein N. & Flath C. M., 2020. Peeking into the void: Digital twins for construction site logistics, Computers in Industry, 121: 103264. https://doi.org/10.1016/j.compind.2020.103264
    • Gürdür Broo D., Bravo-Haro M. & Schooling J., 2022, Design and implementation of a smart infrastructure digital twin, Automation in Construction, 136: 104171. https://doi.org/10.1016/j.autcon.2022.104171
    • Haag S. & Anderl R., 2018. Digital twin – Proof of concept, Manufacturing Letters, 5 (Part B) 64-66. https://doi.org/10.1016/j.mfglet.2018.02.006
    • Hassanien A. E., Darwish A. & Snasel V. (eds.), 2022. Digital Twins for Digital Transformation: Innovation in Industry, Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-96802-1
    • Herwig C., Pörtner R. & Möller J. (eds.), 2021. Digital Twins: Tools and Concepts for Smart Biomanufacturing, Springer, Cham, Switzerland. https://hkall.julac.org/permalink/852JULAC_HKU/1dbss3a/alma991044374984103414
    • Hodavand F., Ramaji I. J. & Sadeghi N., 2023. Digital twin for fault detection and diagnosis of building operations: a systematic review, Buildings, 13 (6) 1426. https://doi.org/10.3390/buildings13061426
    • Holopainen M., Saunila M., Rantala T. & Ukko J., 2022. Digital twins' implications for innovation, Technology Analysis & Strategic Management, (ahead-of-print), p.1-13, https://doi.org/10.1080/09537325.2022.2115881
    • Hosamo H., Hosamo M. H., Nielsen H. K., Svennevig P. R. & Svidt K., 2023. Digital Twin of HVAC system (HVACDT) for multiobjective optimization of energy consumption and thermal comfort based on BIM framework with ANN-MOGA, Advances in Building Energy Research, 17 (2) 125-171. https://doi.org/10.1080/17512549.2022.2136240
    • Hosamo H. H., Nielsen H. K., Alnmr A. N., Svennevig P. R. & Svidt K., 2022. A review of the Digital Twin technology for fault detection in buildings, Frontiers in Built Environment, 8: 1013196. https://doi.org/10.3389/fbuil.2022.1013196
    • Hosamo H. H., Svennevig P. R., Svidt K., Han D. & Nielsen H. K., 2022. A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics, Energy and Buildings, 261: 111988. https://doi.org/10.1016/j.enbuild.2022.111988
    • Hribernik K., Cabri G., Mandreoli F. & Mentzas G., 2021. Autonomous, context-aware, adaptive Digital Twins—State of the art and roadmap, Computers in Industry, 133: 103508. https://doi.org/10.1016/j.compind.2021.103508
    • Hunhevicz J. J., Motie M. & Hall D. M., 2022. Digital building twins and blockchain for performance-based (smart) contracts, Automation in Construction, 133: 103981. https://doi.org/10.1016/j.autcon.2021.103981
    • Hyre A., Harris G., Osho J., Pantelidakis M., Mykoniatis K. & Liu J., 2022. Digital twins: Representation, Replication, Reality, and Relational (4Rs), Manufacturing Letters, 31: 20-23. https://doi.org/10.1016/j.mfglet.2021.12.004
    • IET, 2022. The Apollo Protocol: unifying digital twins across sectors, the Institution of Engineering and Technology (IET), Hertfordshire, United Kingdom. https://www.theiet.org/media/10434/the-apollo-protocol-unifying-digital-twins-across-sectors.pdf
    • IET, 2019. Digital Twins for the built environment, the Institution of Engineering and Technology (IET), Hertfordshire, United Kingdom. https://www.theiet.org/media/8762/digital-twins-for-the-built-environment.pdf
    • ISO, 2021. ISO 23247-1:2021 Automation systems and integration — Digital twin framework for manufacturing — Part 1: Overview and general principles, International Organization for Standardization (ISO), Geneva, Switzerland. https://www.iso.org/standard/75066.html
    • Jacoby M. & Usländer T., 2020. Digital twin and Internet of Things—current standards landscape, Applied Sciences, 10 (18) 6519. http://dx.doi.org/10.3390/app10186519
    • Jadhav S. G. & Sarnikar S., 2023. Digital twin of a digital world: process, data, and experience perspectives, IT Professional, 25 (3) 68-73. https://doi.org/10.1109/MITP.2023.3264209
    • Jafari M. A., Zaidan E., Ghofrani A., Mahani K. & Farzan F., 2020. Improving building energy footprint and asset performance using digital twin technology, IFAC-PapersOnLine, 53 (3) 386-391. https://doi.org/10.1016/j.ifacol.2020.11.062
    • Jeon J. H., Oh D.-S., Hong S. G. & Lee K. B., 2022. Location recognition of indoor firefighting facilities based on RGB-D camera and 3D LiDAR, International Journal of Fire Science and Engineering, 36 (4) 22-33. https://doi.org/10.7731/KIFSE.b3b0bd61
    • Jia W., Wang W. & Zhang Z., 2022. From simple digital twin to complex digital twin Part I: A novel modeling method for multi-scale and multi-scenario digital twin, Advanced Engineering Informatics, 53: 101706. https://doi.org/10.1016/j.aei.2022.101706
    • Jiang H., Qin S., Fu J., Zhang J. & Ding G., 2021. How to model and implement connections between physical and virtual models for digital twin application, Journal of Manufacturing Systems, 58: 36-51. https://doi.org/10.1016/j.jmsy.2020.05.012
    • Jiang L., Shi J., Wang C. & Pan Z., 2023. Intelligent control of building fire protection system using digital twins and semantic web technologies, Automation in Construction, 147: 104728. https://doi.org/10.1016/j.autcon.2022.104728
    • Jiao Z., Du X., Liu Z., Liu L., Sun Z. & Shi G., 2023. Sustainable operation and maintenance modeling and application of building infrastructures combined with digital twin framework, Sensors, 23 (9) 4182. https://doi.org/10.3390/s23094182
    • Johnson Controls, 2019. Applying Digital Twins to the Built Environment. https://www.johnsoncontrols.com/-/media/jci/insights/2019/bts/jci-661_dv_digital_twin_white_paper_020819_6p_f3.pdf
    • Kalantari S., Pourjabar S., Xu T. B. & Kan J., 2022. Developing and user-testing a “Digital Twins” prototyping tool for architectural design, Automation in Construction, 135: 104140. https://doi.org/10.1016/j.autcon.2022.104140
    • Kapteyn M. G., Knezevic D. J., Huynh D. B. P., Tran M. & Willcox K. E., 2022. Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models, International Journal for Numerical Methods in Engineering, 123 (13) 2986-3003. https://doi.org/10.1002/nme.6423
    • Kenett R. S. & Bortman J., 2022. The digital twin in Industry 4.0: A wide‐angle perspective, Quality and Reliability Engineering International, 38 (3) 1357-1366. https://doi.org/10.1002/qre.2948
    • Khajavi S., Motlagh N., Jaribion A., Werner L. & Holmstrom J., 2019. Digital twin: vision, benefits, boundaries, and creation for buildings, IEEE Access, 7: 147406-147419. https://doi.org/10.1109/ACCESS.2019.2946515, https://ieeexplore.ieee.org/abstract/document/8863491
    • Khajavi S. H., Tetik M., Liu Z., Korhonen P. & Holmström J., 2023. Digital twin for safety and security: perspectives on building lifecycle, IEEE Access, 11: 52339-52356. https://doi.org/10.1109/ACCESS.2023.3278267
    • Kirchhof J. C., Michael J., Rumpe B., Varga S. & Wortmann A., 2020. Model-driven digital twin construction: synthesizing the integration of cyber-physical systems with their information systems, In Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS ’20), October 18–23, 2020, Virtual Event, Canada. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3365438.3410941
    • Kirkpatrick M., 2022. Digital Twins in Advanced Manufacturing to Enhance Manufacturing Efficiency, MSc Thesis, University of South Carolina.
    • Kritzinger W., Karner M., Traar G., Henjes J. & Sihn W., 2018. Digital Twin in manufacturing: A categorical literature review and classification, IFAC-PapersOnLine, 51 (11) 1016-1022. https://doi.org/10.1016/j.ifacol.2018.08.474
    • Kumar V., Leng J., Akberdina V. & Kuzmin E. (eds.), 2022. Digital Transformation in Industry: Digital Twins and New Business Models, Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-94617-3
    • Kühn W., 2019. Handbook of Digital Enterprise Systems: Digital Twins, Simulation and AI, World Scientific, Singapore & Hackensack NJ.
    • Li L., Lei B. & Mao C., 2022. Digital twin in smart manufacturing, Journal of Industrial Information Integration, 26: 100289. https://doi.org/10.1016/j.jii.2021.100289
    • Li X., Luo J., Li Y., Wang W., Hong W., Liu M., Li X. & Lv Z., 2022. Application of effective water-energy management based on digital twins technology in sustainable cities construction, Sustainable Cities and Society, 87: 104241. https://doi.org/10.1016/j.scs.2022.104241
    • Liu Y., Sun Y., Yang A. & Gao J., 2021. Digital twin-based ecogreen building design, Complexity, 2021: 1391184. https://doi.org/10.1155/2021/1391184
    • Liu Z., Zhang A. & Wang W., 2020. A framework for an indoor safety management system based on digital twin, Sensors, 20 (20) 5771. https://doi.org/10.3390/s20205771
    • Lo C. K., Chen C. H. & Zhong R. Y., 2021. A review of digital twin in product design and development, Advanced Engineering Informatics, 48: 101297. https://doi.org/10.1016/j.aei.2021.101297
    • Lohtander M., Garcia E., Lanz M., Volotinen J., Ratava J. & Kaakkunen J., 2018. Micro manufacturing unit – creating digital twin objects with common engineering software, Procedia Manufacturing, 17: 468-475. https://doi.org/10.1016/j.promfg.2018.10.071
    • Lu J., Tian X., Feng C., Zhang C., Zhao Y., Zhang Y. & Wang Z., 2023. Clustering compression-based computation-efficient calibration method for digital twin modeling of HVAC system, Building Simulation, 16 (6) 997-1012. https://doi.org/10.1007/s12273-023-0996-2
    • Lu W., Chen J., Fu Y., Pan Y. & Ghansah F. A., 2023. Digital twin-enabled human-robot collaborative teaming towards sustainable and healthy built environments, Journal of Cleaner Production, 412: 137412. https://doi.org/10.1016/j.jclepro.2023.137412
    • Lv Z. & Fersman E. (eds.), 2022. Digital Twins: Basics and Applications, Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-031-11401-4
    • Masaev S. N., Minkin A. N., Yu Troyak E. & Khrulkevich A. L., 2021. Digital twin in advanced training of engineering specialists, Journal of Physics: Conference Series, 1889 (2) 22045. https://doi.org/10.1088/1742-6596/1889/2/022045
    • Mashaly M., 2021. Connecting the twins: a review on digital twin technology & its networking requirements, Procedia Computer Science, 184: 299-305. https://doi.org/10.1016/j.procs.2021.03.039
    • Meierhofer J., West S., Rapaccini M. & Barbieri C., 2020. The digital twin as a service enabler: from the service ecosystem to the simulation model, Exploring Service Science, 377: 347-359.
    • Meijers A., 2022. Hands-On Azure Digital Twins: a Practical Guide to Building Distributed IoT Solutions, Packt Publishing, Birmingham, UK.
    • Minerva R. & Crespi N., 2021. Digital twins: properties, software frameworks, and application scenarios, IT Professional, 23 (1) 51-55. https://doi.org/10.1109/MITP.2020.2982896
    • Mohseni S.-R., Zeitouni M. J., Parvaresh A., Abrazeh S., Gheisarnejad M. & Khooban M.-H., 2023. FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology, Transactions of the Institute of Measurement and Control, 45 (4) 661-673. https://doi.org/10.1177/01423312221119635
    • Montenegro A. L., 2022. Why Digital Twin is Important for Architects, Engineers and Construction?, from Microsol Resources website: https://microsolresources.com/tech-resources/article/why-digital-twin-is-important-for-architects-engineers-and-construction
    • Moretti N., Xie X., Merino Garcia J., Chang J. & Kumar Parlikad A., 2022. Digital Twin based built environment asset management services development, IOP Conference Series: Earth and Environmental Science, 1101 (9) 092023. https://doi.org/10.1088/1755-1315/1101/9/092023
    • Nee A. Y. C. & Ong S. K. (eds.), 2021. Digital Twins in Industry, MDPI - Multidisciplinary Digital Publishing Institute, Basel, Switzerland. https://doi.org/10.3390/books978-3-0365-1799-5
    • Nemtinov K., Eruslanova M., Zazulya A., Nemtinova Y. & Salih H. S., 2020. Creating a digital twin of an agricultural machine, MATEC Web of Conferences, 329: 5002. https://doi.org/10.1051/matecconf/202032905002
    • NIBS, 2024. Digital Twins for the Built Environment, National Institute of Building Sciences (NIBS), Washington, DC. https://www.nibs.org/reports/digital-twins-built-environment
    • Norouzi P., Maalej S. & Mora R., 2023. Applicability of deep learning algorithms for predicting indoor temperatures: towards the development of digital twin HVAC systems, Buildings, 13 (6) 1542. https://doi.org/10.3390/buildings13061542
    • O’Dwyer E., Pan I., Charlesworth R., Butler S. & Shah N., 2020. Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems, Sustainable Cities and Society, 62: 102412. https://doi.org/10.1016/j.scs.2020.102412
    • Onile A. E., Machlev R., Petlenkov E., Levron Y. & Belikov J., 2021. Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review, Energy Reports, 7: 997-1015. https://doi.org/10.1016/j.egyr.2021.01.090
    • Opoku D.-G. J., Perera S., Osei-Kyei R. & Rashidi M., 2021. Digital twin application in the construction industry: A literature review, Journal of Building Engineering, 40: 102726. https://doi.org/10.1016/j.jobe.2021.102726
    • Ostasevicius V., 2022. Digital Twins in Manufacturing: Virtual and Physical Twins for Advanced Manufacturing, Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-98275-1
    • Ozturk G. B., 2021. Digital twin research in the AECO-FM industry, Journal of Building Engineering, 40: 102730. https://doi.org/10.1016/j.jobe.2021.102730
    • Pal S. K., Mishra D., Pal A., Dutta S., Chakravarty D. & Pal S., 2021. Digital Twin - Fundamental Concepts to Applications in Advanced Manufacturing, Springer International Publishing AG, Cham.
    • Pan Y. & Zhang L., 2021. A BIM-data mining integrated digital twin framework for advanced project management, Automation in Construction, 124: 103564. https://doi.org/10.1016/j.autcon.2021.103564
    • Perno M., Hvam L. & Haug A., 2022. Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers, Computers in Industry, 134: 103558. https://doi.org/10.1016/j.compind.2021.103558
    • Pomè A. P. & Signorini M., 2023. Real time facility management: assessing the effectiveness of Digital Twin in the Operation and Maintenance phase of building life cycle, IOP Conference Series: Earth and Environmental Science, 1176 (1) 12003. https://doi.org/10.1088/1755-1315/1176/1/012003
    • PwC, 2020. Digital Twins in Smart City: A bridge between the physical and virtual world,  Pricewaterhouse Coopers Ltd (PwC). https://www.pwccn.com/en/research-and-insights/publications/digital-twins-in-smart-city.pdf
    • Radzi A. R., Azmi N. F., Kamaruzzaman S. N., Rahman R. A. & Papadonikolaki E., 2023. Relationship between digital twin and building information modeling: a systematic review and future directions, Construction Innovation, http://dx.doi.org/10.1108/CI-07-2022-0183.
    • Rasheed A., San O. & Kvamsdal T., 2020. Digital twin: values, challenges and enablers from a modeling perspective, IEEE Access, 8: 21980-22012. https://doi.org/10.1109/ACCESS.2020.2970143
    • Rückert F. U., Sauer M., Liimatainen T. & Hübner D., 2023. Digital Twin Development: An Introduction to Simcenter Amesim, Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-031-25692-9
    • Ruzsa C., 2021. Digital twin technology - external data resources in creating the model and classification of different digital twin types in manufacturing, Procedia Manufacturing, 54: 209-215. https://doi.org/10.1016/j.promfg.2021.07.032
    • Saadatifar S., Sawyer A. O., Byrne D. J. & Zhang Y., 2023. Balancing thermal comfort with energy consumption in buildings using digital twins, IoT sensors, and real-time dashboards to inform occupant decision making, ASHRAE Transactions, 129 (Part 1) 720-729.
    • Salem T. & Dragomir M., 2022. Options for and challenges of employing digital twins in construction management, Applied Sciences, 12 (6) 2928. https://doi.org/10.3390/app12062928
    • Scheibmeir J., 2021. Quality Attributes of Digital Twins, PhD Thesis, Colorado State University.
    • Schleich B., Anwer N., Mathieu L. & Wartzack S., 2017. Shaping the digital twin for design and production engineering, CIRP Annals, 66 (1) 141-144. https://doi.org/10.1016/j.cirp.2017.04.040
    • Schluse M., Priggemeyer M., Atorf L. & Rossmann J., 2018. Experimentable digital twins—streamlining simulation-based systems engineering for Industry 4.0, IEEE Transactions on Industrial Informatics, 14 (4) 1722-1731. https://doi.org/10.1109/TII.2018.2804917
    • Semeraro C., Lezoche M., Panetto H. & Dassisti M., 2021. Digital twin paradigm: A systematic literature review, Computers in Industry, 130: 103469. https://doi.org/10.1016/j.compind.2021.103469
    • Shao G. & Helu M., 2020. Framework for a digital twin in manufacturing: Scope and requirements, Manufacturing Letters, 24: 105-107. https://doi.org/10.1016/j.mfglet.2020.04.004
    • Shirowzhan S. (ed.), 2022. Data Science, Data Visualization, and Digital Twins, IntechOpen, London, United Kingdom. http://dx.doi.org/10.5772/intechopen.87794
    • Skobelev P. O., Mayorov I. V., Simonova E. V., Goryanin O. I., Zhilyaev A. A., Tabachinskiy A. S. & Yalovenko V. V., 2020. Development of models and methods for creating a digital twin of plant within the cyber-physical system for precision farming management, Journal of Physics: Conference Series, 1703: 012022. https://doi.org/10.1088/1742-6596/1703/1/012022
    • Stavropoulos P. & Mourtzis D., 2022. Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology, Chapter 10 - Digital twins in industry 4.0, p. 277-316. https://doi.org/10.1016/B978-0-12-823657-4.00010-5
    • Stark R., Fresemann C. & Lindow K., 2019. Development and operation of Digital Twins for technical systems and services, CIRP Annals, 68 (1) 129-132. https://doi.org/10.1016/j.cirp.2019.04.024
    • Stjepandić J., Sommer M. & Denkena B. (eds.), 2022. DigiTwin: An Approach for Production Process Optimization in a Built Environment, Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-77539-1
    • Tagliabue L. C. & Yitmen I. (eds.), 2022. Cognitive Buildings, Multidisciplinary Digital Publishing Institute (MDPI), Basel. https://doi.org/10.3390/books978-3-0365-3951-5
    • Tao F. & Qi Q., 2019. Make more digital twins, Nature, 573 (7775) 490-491. https://doi.org/10.1038/d41586-019-02849-1
    • Thelen A., Zhang X., Fink O., Lu Y., Ghosh S., Youn B. D., Todd M. D., Mahadevan S., Hu C. & Hu Z., 2023. A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives, Structural and Multidisciplinary Optimization, 66 (1) 1. https://doi.org/10.1007/s00158-022-03410-x
    • Vasiliu-Feltes I., 2023. Impact of Digital Twins in Smart Cities Development, IGI Global, Hershey, PA. https://doi.org/10.4018/978-1-6684-3833-6
    • Vering C., Mehrfeld P., Nürenberg M., Coakley D., Lauster M. & Müller D., 2019. Unlocking potentials of building energy systems' operational efficiency: application of digital twin design for HVAC systems, In Proceedings of the 16th IBPSA Conference, Rome, Italy, Sept. 2-4, 2019, p. 1304-1310. https://doi.org/10.26868/25222708.2019.210257
    • Viola J. & Chen Y. Q., 2023. Digital-twin-enabled Smart Control Engineering: A Framework and Case Studies, Springer,  Cham. https://doi.org/10.1007/978-3-031-22140-8
    • Vohra M. (ed.), 2023. Digital Twin Technology: Fundamentals and Applications, Wiley-Scrivener, Hoboken, NJ. https://doi.org/10.1002/9781119842316
    • Wang K.-J., Lee Y.-H. & Angelica S., 2021. Digital twin design for real-time monitoring - a case study of die cutting machine, International Journal of Production Research, 59 (21) 6471-6485. https://doi.org/10.1080/00207543.2020.1817999
    • Wang Z., Gupta R., Han K., Wang H., Ganlath A., Ammar N. & Tiwari P., 2022. Mobility digital twin: concept, architecture, case study, and future challenges, IEEE Internet of Things Journal, 9 (18) 17452-17467. https://doi.org/10.1109/JIOT.2022.3156028
    • White G., Zink A., Codecá L. & Clarke S., 2021. A digital twin smart city for citizen feedback, Cities, 110: 103064. https://doi.org/10.1016/j.cities.2020.103064
    • Xie H., Xin M., Lu C. & Xu J., 2023. Knowledge map and forecast of digital twin in the construction industry: State-of-the-art review using scientometric analysis, Journal of Cleaner Production, 383: 135231. https://doi.org/10.1016/j.jclepro.2022.135231
    • Xie M. C. & Pan W., 2020. Opportunities and challenges of digital twin applications in modular integrated construction, In Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC 2020), Waterloo, Vol. 37, p. 278-284.
    • Xie X., Lu Q., Parlikad A. K. & Schooling J. M., 2020. Digital twin enabled asset anomaly detection for building facility management, IFAC-PapersOnLine, 53. https://doi.org/10.17863/CAM.51737
    • Xie X., Merino J., Moretti N., Pauwels P., Chang J. Y. & Parlikad A., 2023. Digital twin enabled fault detection and diagnosis process for building HVAC systems, Automation in Construction, 146: 104695. https://doi.org/10.1016/j.autcon.2022.104695
    • Xie X., Moretti N., Merino J., Chang J. Y., Pauwels P. & Parlikad A. K., 2022. Enabling building digital twin: Ontology-based information management framework for multi-source data integration, IOP Conference Series: Earth and Environmental Science, 1101 (9) 092010. https://doi.org/10.1088/1755-1315/1101/9/092010
    • Yu G., Zhang S., Hu M. & Wang Y. K., 2020. Prediction of highway tunnel pavement performance based on digital twin and multiple time series stacking, Advances in Civil Engineering, 2020: 8824135. https://doi.org/10.1155/2020/8824135
    • Zaballos A., Briones A., Massa A., Centelles P. & Caballero V., 2020. A smart campus’ digital twin for sustainable comfort monitoring, Sustainability, 12 (21) 9196. http://dx.doi.org/10.3390/su12219196
    • Zhang L., Zhou L. & Horn B. K. P., 2021. Building a right digital twin with model engineering, Journal of Manufacturing Systems, 59: 151-164. https://doi.org/10.1016/j.jmsy.2021.02.009
    • Zhang L., Chen X., Zhou W., Cheng T., Chen L., Guo Z., Han B. & Lu L., 2020. Digital twins for additive manufacturing: a state-of-the-art review, Applied Sciences, 10 (23) 8350. http://dx.doi.org/10.3390/app10238350
    • Zhao L., Zhang H., Wang Q., Sun B., Liu W., Qu K. & Shen X., 2022. Digital twin evaluation of environment and health of public toilet ventilation design based on building information modeling, Buildings, 12 (4) 470. https://doi.org/10.3390/buildings12040470
    • Zhao R., Chen Z. & Xue F., 2023. A blockchain 3.0 paradigm for digital twins in construction project management, Automation in Construction, 145: 104645. https://doi.org/10.1016/j.autcon.2022.104645
    • Zhou J., Zhang S. & Gu M., 2022. Revisiting digital twins: Origins, fundamentals, and practices, Frontiers of Engineering Management, 9 (4) 668-676. https://doi.org/10.1007/s42524-022-0216-2
    Videos

    Web Links:

    • a






    | Created: Dec 2023 | Update: 1 Sep 2024 |