{"id":85963,"date":"2020-11-30T11:39:16","date_gmt":"2020-11-30T11:39:16","guid":{"rendered":"https:\/\/www.pbctoday.co.uk\/news\/?p=85963"},"modified":"2021-12-01T13:17:06","modified_gmt":"2021-12-01T13:17:06","slug":"embodied-carbon-ai-software","status":"publish","type":"post","link":"https:\/\/www.pbctoday.co.uk\/news\/energy-news\/embodied-carbon-ai-software\/85963\/","title":{"rendered":"AI software to help construction industry reduce embodied carbon"},"content":{"rendered":"

Computer scientists at the University of the West of England<\/a> (UWE Bristol) are developing software that uses artificial intelligence (AI) to help construction companies reduce the amount of embodied carbon in their projects<\/h2>\n

UWE Bristol\u2019s Big Data Laboratory is leading the two-year project, which began in November, in collaboration with Winvic Construction<\/a> and Costain<\/a>, as well as working with Edgetrix<\/a>, a start-up that specialises in cloud and AI solutions.<\/p>\n

Together they are developing a programme that radically speeds up the process of determining how to reduce embodied carbon<\/a> at the planning stages.<\/p>\n

Embodied carbon is the amount of energy (measured in\u00a0CO2) consumed during the project\u2019s construction phase and includes emissions from material extraction or manufacturing, transport of materials, among others.<\/p>\n

The \u00a3800,000 project is funded by Innovate UK<\/a>, the UK\u2019s innovation agency that works with organisations to drive the science and technology innovations that will grow the UK economy.<\/p>\n

\u2018Alternative materials quicker\u2019<\/h3>\n

Dr Lukman Akanbi, who is leading the project and works at UWE Bristol, said: \u201cWe are going to collect embodied carbon data from previous projects and machine learning<\/a> models will be developed to learn the patterns from this data. The system will then be able to come up with alternative materials quicker.<\/p>\n

\u201cFor a large scale project for example, instead of taking 5-10 hours to work out alternatives, it could initially take only one to two hours and further down the road, once more data is gathered, just a few minutes.\u201d<\/p>\n

The work, which started in November, will initially use Winvic and Costain\u2019s commercial premises as test sites for the AI solution. The plan is then to roll out the software to building designers and others working in the construction industry.<\/p>\n

Dr Akanbi, added: \u201cThe objective is to make the system available to building designers and enable them to use it as part of their existing design systems, such as Autodesk Revit. This way they can implement embodied carbon<\/a> analysis incrementally throughout construction projects\u2019 delivery.<\/p>\n

\u201cUWE Bristol is a university that\u2019s environmentally aware and is aiming to be carbon neutral by 2030, so it\u2019s great that we are taking a lead in a project that is looking to help achieve similar aims.\u201d<\/p>\n

\n<\/div>","protected":false},"excerpt":{"rendered":"

Computer scientists at the University of the West of England (UWE Bristol) are developing software that uses artificial intelligence (AI) to help construction companies reduce the amount of embodied carbon in their 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