Background
Assessing the wave of green technologies requires modelling and simulation of energy system configurations and capabilities to optimise and control novel system/process topologies and their holistic impact on the energy network infrastructure and carbon emissions.
Associated Outputs
Dr Janie Ling-Chin
Principal Investigator
Department of Engineering, Durham University
Project Team
Department of Engineering, Durham University:
Prof Anthony Paul Roskilly
Dr Yousaf Khalid
Dr Andrew Smallbone
Dr Ugochukwu Ngwaka
Centre for Sustainable Engineering, Teesside University:
Dr Huda Dawood
Prof Nashwan Dawood
Faisal Siddiqui
Ruben Pinedo-Cuenca
Aim
Support local efforts to decarbonise all industrial clusters, starting with Teesside industrial cluster.
More Detail
Decarbonising industrial clusters will require a paradigm shift in the supply and utilisation of energy and a switch to alternative energy vectors, e.g. hydrogen, BECCS and increased electrification underpinned by intermittent renewable energy re-balanced with energy storage. These transformations require a deeper understanding of integrated energy systems, a long-term strategic vision and a place-based planning capability. Current energy systems modelling is generally based on simplistic and non-dynamic assumptions which greatly limits their ability to inform decision-making and thus hinders effective decarbonisation. Alternatively, multi-energy-vector engineering models are more robust but have shown limited success in scale-up when applied to large and complex energy systems, like industrial clusters.
This project will develop a “best of both-worlds” planning tool; a simpler solution which accounts for uncertainties and is more scalable for the analysis of multi-vector energy flows. The model will be initiated using real-world data from the Teesside Cluster but built into a flexible response surface methodology (RSM) framework as a case-study. The complexity will be made appropriate by populating the RSMs with more physical, multi-dimensional representations of cluster energy system components. The tool will be used to explore high-level planning scenarios and help support local efforts for decarbonising all the industrial clusters.
Four key sites:
Seal Sands
Teesworks
Billingham
Wilton International
Multi-Vector Energy System
Integrated networks
Generators
Storage units
Consumers
Meet the Team
Roskilly
Prof Anthony Paul Roskilly
Department of Engineering, Durham University
Khalid
Yousaf Khalid
Department of Engineering, Durham University
Smallbone
Dr Andrew Smallbone
Department of Engineering, Durham University
Ngwaka
Dr Ugochukwu Ngwaka
Department of Engineering, Durham University
Nashwan
Prof Nashwan Dawood
Centre for Sustainable Engineering, Teesside University
HudaDawood
Dr Huda Dawood
Centre for Sustainable Engineering, Teesside University
Pinedo
Dr Ruben Pinedo-Cuenca
Centre for Sustainable Engineering, Teesside University
Siddiqui
Dr Faisal Siddiqui
Centre for Sustainable Engineering, Teesside University
Roskilly
Prof Anthony Paul Roskilly
Department of Engineering, Durham University
Khalid
Yousaf Khalid
Department of Engineering, Durham University
Smallbone
Dr Andrew Smallbone
Department of Engineering, Durham University
Ngwaka
Dr Ugochukwu Ngwaka
Department of Engineering, Durham University
Nashwan
Prof Nashwan Dawood
Centre for Sustainable Engineering, Teesside University
HudaDawood
Dr Huda Dawood
Centre for Sustainable Engineering, Teesside University
Pinedo
Dr Ruben Pinedo-Cuenca
Centre for Sustainable Engineering, Teesside University
Siddiqui
Dr Faisal Siddiqui
Centre for Sustainable Engineering, Teesside University
Case Study/Progress
Wilton International in Teesside Industrial Cluster offer the UK’s largest private wire network with plug in and play utility supply capabilities and import/export energy to the National Grid. Four energy generation units utilising three fuel types are located in the Wilton cluster.
Planned Developments
- 2 x 850 MW Tees Combined Cycle Power Plant
- 300 MW Whitetail Clean Energy with carbon capture technology plus carbon capture for existing Biomass and Energy from Waste Power Plants as part of Net Zero Teesside (NZT)
- Tees Green Hydrogen: Wind farm (1.5 GW) and solar farm (50 MW) by EDF Renewables and Hynamics to power the hydrogen electrolyser for green hydrogen production
- Energy Storage Systems
- Europe’s largest battery, 360 MW
- Nitrogen storage, 2.4 MNm 3 underground salt caverns on Wilton International site
Planned Outputs
The tool will model and simulate the multi-vector energy system networks on the Wilton site as described above and assess the impact of the planned interventions for achieving net-zero. The key tool features are listed below:
- Energy systems operation and control using hybrid power and steam generation (gas/steam turbine, biomass, energy from waste etc.) and heat networks (gas & electric) to match supply and demand
- Assessing the impact of additional developments of electrical/gas supply and storage with Industry based renewables (PV, wind, hydrogen etc.)
- Integration with other energy networks in the cluster, local energy demand (domestic/non-domestic), Distribution Network Operators (DNO), and the National Grid
- Techno-Economic-Carbon (TEC) analysis to assess the impact of decarbonisation measures
- Reconfiguration of various energy systems network topologies to model and simulate other industrial sites
