Energy & Environmental Informatics

ENERGY
& ENVIRONMENTAL
INFORMATICS

Energy and Environmental Analytics

Energy security and climate change are among the biggest challenges facing us today. We are working with both academic and industrial partners on projects looking for ICT based solutions to some of these problems.

The technological challenges that face both issues are not insignificant, from using smart meter data to detect faulty meters or energy theft to managing massive climate simulation ensembles to detect societal impact already underway from climate change.The EEI Research Group plays a key role in finding solutions for these problems and more through building Ecosystem and Energy Services.

Group members:

Professor David Wallom, Associate Professor
Dr Neil Caithness, Senior Researcher
Ramon Granell, Senior Research Associate
Sihan Li, climate prediction .net PDRA
Dr Mamun Rashid, climate prediction .net Research Computing Specialist
Dr Sarah Sparrow, climate prediction .net Applications Coordinator

Modelling retail store energy consumption for improved accuracy of consumption forecasting (WICKED project)

Climate modelling takes immense computational resources. Climateprediction.net, the world's largest climate experiment, uses just standard PCs...

Whether you want to collaborate with us on an energy or climate based project, or just want to find out more, please get in touch!

Current Projects

"Long Term Undulations versus secular change in Chinese Climate" (LOTUS-China) is a three-year project tackling the overarching question "Why is climate changing in China and what are the implications for China's vulnerability to extremes"
The HAPPI project partners with climate modelling groups to undertake a series of experiments specifically designed to quantify the relative risks associated with 1.5°C and 2°C of warming, particularly focussing on extreme weather events.
Under this project we propose, for the first time, to apply a well-established large-ensemble methodology that allows explicit simulation of changing event probabilities to a global seasonal-forecast-resolution model.
Bangladesh is listed as one of the countries most vulnerable to climate change. This scoping project will develop the necessary framework to allow on demand, real-time attribution studies of floods in the Brahmaputra basin.

Past Projects

The Low Carbon ICT project will develop a 'wake-on-LAN' (WoL) service to reduce the University of Oxford’s carbon footprint that results from the operation of its ICT infrastructure.
Existing electricity distribution management systems (DMS) have been designed using operational and algorithmic procedures that are highly centralised.