Dr Jonathan Nixon is an Associate Professor at Coventry University specialising in renewable energy, systems modelling, and artificial intelligence (AI). His research develops AI-driven methods to improve the performance, reliability, and resilience of clean energy technologies.
A major strand of his work focuses on wind energy in cold climates. He has developed approaches for icing prediction, anti-icing strategies, and adaptive turbine operation, integrating machine learning and optimisation to improve turbine performance. He leads a Royal Society international exchange programme with Université Laval and Nergica (Canada) on intelligent wind turbines and represents the UK on the International Energy Agency Task 54 (Cold Climate Wind). His earlier work included a British Council-funded collaboration with the China Aerodynamics Research and Development Center (CARDC), addressing the multidisciplinary issues of turbines in cold environments.
Beyond his wind energy research, Dr Nixon applies AI-based modelling and optimisation to a wide range of renewable energy challenges. He has contributed to major projects across Europe, Asia, Africa, and North America, with funding from the British Academy, Innovate UK, EPSRC, UNICEF, and the British Council. His work on energy access in refugee camps in Rwanda and displaced communities in Nepal has included deploying solar microgrids, smart street lighting, and digital monitoring systems. He also led the Solar Energy Transitions (SET) project, advancing the design of solar-battery e-cooking systems in sub- Saharan Africa, and is working with UNICEF on smart climate-resilient water pumping solutions.
These initiatives demonstrate how advanced modelling and AI tools can be applied across technologies and geographies—from improving cold-climate wind turbine performance to delivering community focused energy access solutions in some of the world’s most challenging environments.