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This, in turn, will support people in decision-making, which speeds up the process and achieves productivity gains.
The importance of whole-life carbon assessments
Whole-life carbon assessments combine carbon measures for day-to-day occupancy with those for embodied emissions from materials and energy used to produce and assemble materials in construction and over the life of an asset.
Using artificial intelligence, the new system will accelerate the creation of whole-life carbon assessments by as much as 85%. The significant time and carbon savings will, in turn, pave the way towards much higher levels of whole-life carbon assessment adoption in construction and help the UK meet its net-zero targets.
Amin Al-Habaibeh, professor of intelligent engineering systems at Nottingham Trent University, said: “This is a great opportunity to implement cutting-edge deep learning AI technology to enhance productivity, improve competitiveness and speed up the evaluation process of building’s carbon footprint.
“This will enable a better material selection and more optimum designs to address climate change. This collaboration with Morgan Sindall and partner organisations will bridge the gap between academic innovation and implementation and will also benefit NTU’s future AI teaching and training in a wide range of disciplines, as sustainability is at the heart of everything we do.”