There are about 200 senior researchers in Oxford Energy. These are listed below and can be filtered using the search bar above. You can also find the relevant contact person for a research theme by using the checkbox and selecting update.
Energy Networks: Power system control and optimisation
Economics, Policy & Politics: Energy market design
Storage and Vectors: Grid energy storage, electric vehicles
Demand and Efficiency: Demand flexibility, smart local energy systems
Economics, Policy & Politics: International climate change negotiations, developing countries, equity
Solar: Modelling of production of organic solar cells from polymer solutions
Storage and Vectors: Modelling of fabrication process for nano-structured materials for batteries
Transport: autonomous cars, intelligent mobility
Solar: Use of carbon nanohybrids, graphene and carbon nanotubes in organic and thin film PV. Development of ThermoPhotoVoltaics, TPV
Storage and Vectors: Battery materials
Transport: Fuel cell catalysts
Wind and Marine: Photovoltaics, materials synthesis, emerging semiconductor materials, thin-film crystallisation, Solar
Nuclear: inertial confinement fusion, ultra-high density fusion fuel assembly, hot spot formation, coherent X-ray source development, particle acceleration using intense lasers, fast electron energy transport and deposition
Earth Resources: catalysis, CO2 hydrogenation to fuels
Bioenergy: biomass conversion
Solar: catalytic water splitting
Transport: Safety and Security Critical Software Systems
Energy Networks: Smart Electricity Tariffs and Load Shifting
Storage and Vectors: Machine Learning Approaches to Battery Management
Solar: Solar Photo-voltaic Prediction
Energy Networks: Dynamic demand response.
Nuclear: Fusion theory, plasma physics
Storage and Transport: Electrolyte and interphase in battery chemistries beyond Li-ion, including:
Storage and Vectors: Electrolytes for supercapacitors
Demand & Efficiency Friction & friction reduction
Storage and Vectors: Lithium batteries
Transport: Electric motors
Solar: Organic and inorganic PV
Transport: Machine learning methods for intelligent, user-centric energy management of EVs as well as autonomous systems in general
Demand & Efficiency: Machine learning methods for intelligent, user-centric energy management and modelling of energy consumption
Earth Resources: gas turbines, steam turbines, power generation
Nuclear: reactor cooling
Emerging Economies: efficient stoves, efficient cooking equipment
Transport: jet engines, rocket engines