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Digital Twin for resilience and sustainability assessment of port facility

Mingyu Zhu*, Carlos Calderon, Alistair Ford, Craig Robson, Jiayi Jin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)
18 Downloads (Pure)

Abstract

This paper addresses key gaps in Digital Twin research for port operations. It first develops an integrated Digital Twin model for dry bulk terminals, focusing on biomass handling, an area largely overlooked in existing studies. Second, it introduces Building Information Modeling (BIM) to offer a holistic perspective on port sustainability, particularly in relation to energy use and building-related emissions. Third, it tackles the challenge of limited high-resolution data by employing synthetic data and heuristic search methods to calibrate the Digital Twin in the absence of extensive IoT infrastructure. A novel, generic framework is proposed to support resilience and sustainability assessments across various cargo types and terminal facilities. This framework is demonstrated through a working Digital Twin for biomass operations at the Port of Tyne. The study contributes to advancing port Digital Twin technologies and offers new insights for future research in bulk cargo logistics and sustainable port development.
Original languageEnglish
Pages (from-to)1-34
Number of pages34
JournalSustainable and Resilient Infrastructure
Early online date3 Jul 2025
DOIs
Publication statusPublished - 3 Jul 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Digital twin
  • port electrification
  • port resilience to demand flow
  • simulation-optimisation
  • sustainable port energy planning

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