Prof Xi Jiang
PhD, CEng, FIMechE, AFIChemE
Research Overview
Renewable energy, Alternative and renewable fuel, Big data analytics, Biomass and bioenergy, Machine learning, Modelling and simulation, Molecular dynamics simulation, Thermal management
Interests
The research of Prof Jiang’s group has been centred on Thermofluid Modelling/Simulation for Sustainable Energy Utilisation. The Applications include: Cleaner combustion utilisation of alternative and sustainable fuels; Combustion under extreme conditions; Geological carbon storage; Internal combustion engines and gas turbine combustors; Thermal management of batteries and computers/servers; Waste utilisation and management. The Modelling/Simulation techniques include: Big data analytics for energy utilisation applications; “Digital Twin” for marine engine decarbonisation / digitalisation; High-performance computing (HPC) for thermofluid applications; Large-eddy simulation / direct numerical simulation for fluid flow, heat transfer and combustion; Machine learning (with applications to fuel property and combustion emission predictions); Molecular dynamics simulation; (Multi-scale) modelling of flow in porous media; (Simplified) engineering modelling approach: 1D modelling of heat transfer applications. His research has been funded by EPSRC, EU, Royal Society and the industry.