Resource Efficiency as an environmental performance metric for industry: Exergetic analysis of a clinker manufacturing plant
A Spatiotemporal Environmental Sustainability Assessment Model for Deep and Large-scale Open-pit Copper Mines
Value addition for who? Challenges to local participation in downstream critical mineral ventures in Zambia
Introducing Mat-dp model tools
Machine learning for gap-filling in greenhouse gas emissions databases
With the easing of travel restrictions post-COVID-19 pandemic, in-person academic conferences have regained momentum, and last month several members of Resource Efficiency attended the 14th ISIE-SEM conference in...
On Monday, the Refficiency collective piled into two cars to head up to Holkham on the Norfolk coastline for a team day out.
To kick off the academic year, several members of the Refficiency Collective travelled to Vienna for the 14th ISIE Socio-economic metabolism conference.
For World Statistics Day 2022, we are celebrating by sharing some important and some lighthearted statistics from the Resource Efficiency Collective.
Disaster risk reduction requires collaboration from across disciplines and cultures. Luke Cullen developed a machine learning framework for disaster response.
To meet climate mitigation targets whilst also increasing wellbeing, deploying low-carbon electricity systems developing countries is critical.
We are delighted to announce that Jonathan Cullen has recently been made Professor of Sustainable Engineering at the University of Cambridge!
New report from Systemiq outlines how to create a planet positive chemical industry which facilitates global sustainability.
