Digital Environment for Collaborative Intelligent De-carbonisation (DECIDe)

Digital Environment for Collaborative Intelligent De-carbonisation (DECIDe)

Newcastle University 

With support from HS2 and MTR Corporation 


This project proposes a collaborative, system-level modelling environment for decarbonisation and power optimisation relevant to high speed. This environment is underpinned by two key approaches: the multi-model approach to providing fully integrated models based on diverse model types for subcomponents; and the model marketplace approach which provides an accessible, secure environment for stakeholders to share and integrate data. This environment will support cost-effective, integrated modelling to identify decarbonisation benefits in a manner that encourages stakeholder engagement, including new entrants to the rail domain. This feasibility project is targeted at the needs of HS2, but is expected to have applicability across the whole rail system.




Robert Palacin, Newcastle University

How would you describe your project in one Tweet (i.e. 280 characters)?
"Newcastle University is leading the Digital Environment for Collaborative Intelligent De-carbonisation (DECIDe) project. DECIDe will test the feasibility of an open multi-modelling marketplace to help the rail sector decarbonise through flexible, dynamic system modelling."

What are the benefits for industry, within in the context of the wider decarbonisation landscape?  
"DECIDe will enable (1) modelling solutions to complex decarbonisation systems problems. Collaborative modelling de-risks the design and procurement process, reducing costs and shortening development time (2) a flexible environment applicable to design, development, supplier evaluation and product/ system assurance. This enables exploration of new configurations of innovation, not just in terms of technology, but the assessment of new forms of operational practice, and of new business models (3) a digital marketplace of rail modelling services for industry-wide benefit. This will deliver value to HS2 decarbonisation efforts and potentially other decarbonisation efforts across the rail sector."

Multi-modelling is a concept used in other transport modes to tackle various challenges: what does it consist of? What are its advantages, and why have you proposed it for this project?  
"Multi-modelling is an approach that allows multiple dynamic models to be run in parallel. It uses the FMI (Functional Mockup Interface) standard, supported by an appropriate tool chain (INTO-CPS). By linking and running dynamic models together, system behaviours can be observed and so systems can be designed for optimum power usage or to optimise for decarbonisation. Using FMI means that rather than having to build complex bespoke systems models, different component models from different domains can be integrated together in a cost-effective manner, and in a way that protects IP."

Team members
Job title and organisation
Dr Roberto  Palacin

Rail Systems Group Lead and Degree Program Director
Mechanical & Systems Engineering
Newcastle University

  • Rail systems
  • Power
  • Decarbonisation
  • Urban rail
  • Human-systems integration
Dr David  Golightly

Senior Research  Associate
Future Mobility Group
Newcastle University

  • Human factors
  • Ergonomics
  • Rail operations
  • Future mobility
  • Passenger experience
Dr Carl Gamble

Research  Associate
School of Computing
Newcastle University

  • Modelling
  • Cyber-physical systems

Dr Ken Pierce
School of Computing
Newcastle University

  • Cyber-physical systems
  • Modelling and simulation
  • Collaborative modelling
  • Verification

Reports and Research in Brief