Federated Digital Twin for Decarbonising Transport Systems in the UK PhD

The UK’s goal of achieving net-zero emissions in transport by 2050 poses a significant challenge related to interoperability, human-centred design, data management, and new business models.

This PhD project will leverage the capabilities of a digital twinning approach to address these challenges by investigating a federated digital twin focusing on integrating emerging digital technologies, mitigating risks, and optimising operations. By recognising the transport system as a complex adaptive system and continuously monitoring its social, techno-economic, and environmental factors, the project aims to design a federated digital twin demonstrator and a robust framework for planning, implementing, and managing sustainable transport solutions.

The UK is making significant strides toward decarbonising its transport system, targeting net-zero emissions by 2050. This involves phasing out petrol and diesel vehicles by 2030 and transitioning entirely to zero-emission vehicles by 2035. The government is investing in crucial infrastructure, including expanding electric vehicle charging networks and developing hydrogen fuel technology. Public transport systems are also being revamped, with increased funding for electric buses and greener rail networks to reduce carbon footprints and enhance air quality. These measures are part of a broader strategy to reduce the environmental impact of transportation, enhance air quality, and ensure sustainable mobility for future generations.

The application of digital twin technology in the UK transport system is pivotal in achieving decarbonisation and meeting net-zero targets. Digital twins are virtual replicas of physical assets and systems, enabling the design of radically different transport systems incorporating new technologies and energy inputs. Starting with a digital model, planners can create detailed simulations of proposed transport systems, experimenting with various configurations and technologies such as electric and hydrogen-powered vehicles or sustainable fuel for aviation. This phase allows for comprehensive scenario analysis, accommodating changing transport demands and assessing the environmental impacts of each design. Digital twinning (i.e. digital models, shadows, twins) can significantly assist in addressing the decarbonisation challenges in transport by recognising the transport system as a complex adaptive system that integrates social, techno-economic, and environmental factors.

For further information please contact: 

Name: Dr Maryam Farsi

Email: maryam.farsi@cranfield.ac.uk 

If you are eligible to apply for this studentship, please complete the online application form.

This vacancy may be filled before the closing date so early application is strongly encouraged.