{"id":45462,"date":"2024-03-19T11:00:02","date_gmt":"2024-03-19T11:00:02","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=45462"},"modified":"2024-03-19T11:00:02","modified_gmt":"2024-03-19T11:00:02","slug":"ai-technology-cut-carbon-emissions-across-key-sectors","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/ai-technology-cut-carbon-emissions-across-key-sectors\/45462\/","title":{"rendered":"AI technology to cut carbon emissions across key sectors"},"content":{"rendered":"<h2>The UK Government is to help innovators at the cutting edge of AI technology to use their work to cut carbon emissions across key sectors.<\/h2>\n<p>The eight new projects set to receive funding use AI technology to help consumers and businesses improve their energy efficiency and cut energy costs.<\/p>\n<p>They will receive a share of \u00a31.73m to develop and scale up AI technology to support the UK\u2019s transition to clean energy.<\/p>\n<p>The funding is part of the government\u2019s <a href=\"https:\/\/www.gov.uk\/government\/publications\/artificial-intelligence-for-decarbonisation-innovation-programme\" target=\"_blank\" rel=\"noopener\">Artificial Intelligence for Decarbonisation Innovation Programme<\/a>. This supports the development of AI technology in the UK\u2019s energy transition.<\/p>\n<p>The programme is part of the \u00a31bn Net Zero Innovation Portfolio, cementing the UK\u2019s leadership in AI and decarbonisation.<\/p>\n<p>Minister for AI Viscount Camrose said: \u201cAI is the defining technology of our generation and the UK is harnessing its enormous potential to improve public services, ramp up productivity and tackle shared global challenges, particularly climate change.<\/p>\n<p>\u201cThis funding backs brilliant British innovation to drive forward new AI solutions which will help us reach our net zero ambitions.\u201d<\/p>\n<h3>The winning projects<\/h3>\n<p>The funding will support projects to address decarbonisation challenges in three sectors:<\/p>\n<ul>\n<li>The generation, demand, transmission, and distribution of electricity<\/li>\n<li>Transport decarbonisation<\/li>\n<li>Land use for renewables<\/li>\n<\/ul>\n<h3>AI technology to accelerate decarbonisation across electricity generation and demand<\/h3>\n<p>The winning projects that will deal with generation, demand, transmission, and distribution of electricity, include:<\/p>\n<h4>University of Nottingham<\/h4>\n<p>The university is receiving \u00a3263,378 to improve the accuracy of weather forecasting for solar energy and manage renewables for the electricity grid.<\/p>\n<p>The team will use ground-based cameras and satellite images to analyse cloud cover and movement, forecasting <a href=\"https:\/\/www.innovationnewsnetwork.com\/solar-energy\/\">solar energy<\/a> production.<\/p>\n<figure id=\"attachment_45470\" aria-describedby=\"caption-attachment-45470\" style=\"width: 1038px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-45470\" src=\"https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-300x169.jpg\" alt=\"solar panels \" width=\"1038\" height=\"585\" srcset=\"https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-300x169.jpg 300w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-1024x576.jpg 1024w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-768x432.jpg 768w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-1536x864.jpg 1536w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-696x392.jpg 696w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-1068x601.jpg 1068w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-100x56.jpg 100w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-200x113.jpg 200w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-400x225.jpg 400w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-800x450.jpg 800w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864-747x420.jpg 747w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2024\/03\/shutterstock_PriceM_253876864.jpg 1920w\" sizes=\"(max-width: 1038px) 100vw, 1038px\" \/><figcaption id=\"caption-attachment-45470\" class=\"wp-caption-text\">\u00a9 shutterstock\/PriceM<\/figcaption><\/figure>\n<h4>Clio Ventures, London<\/h4>\n<p>The team is receiving \u00a3133,368 to use AI technology to help financial institutions validate key projects eligible for green finance funding.<\/p>\n<h4>CarbonLaces Ltd, London<\/h4>\n<p>Receiving \u00a3342,999 to develop a smart technology that learns and adjusts electricity use in homes.<\/p>\n<p>This will help to improve grid efficiency and help users reduce energy costs.<\/p>\n<h4>Optimise-AI, Cardiff<\/h4>\n<p>The organisation will receive \u00a3125,100 to help businesses and industry use AI to optimise energy efficiency in their buildings.<\/p>\n<p>The team will develop a system that optimises energy usage by calibrating it with Internet of Things sensor readings.<\/p>\n<h3>AI technology to optimise energy use in decarbonised transportation<\/h3>\n<h4>Flexible Power Systems Ltd, Kent<\/h4>\n<p>Flexible Power Systems are receiving \u00a3209,360 to use AI technology to optimise electric fleet operations and charging schedules, based on analysing traffic and charger locations.<\/p>\n<p>This will help to reduce costs and cut emissions from transport.<\/p>\n<h3>AI to optimise and identify land use for renewable energy generation<\/h3>\n<p>The projects that will use AI technology to identify land use for renewable generation include:<\/p>\n<h4>EDF Energy R&amp;D UK Centre Ltd, London<\/h4>\n<p>The project will receive \u00a323,586 to use AI technology to determine how to position wind turbines to reduce the space needed for an offshore windfarm without reducing energy output.<\/p>\n<h4>OnGen Ltd, Edinburgh<\/h4>\n<p>The team are receiving \u00a3326,371 to build AI software to recommend what low-carbon technologies could be used for buildings.<\/p>\n<p>The funding will help consumers improve their energy efficiency and reduce bills.<\/p>\n<h4>Open Power, London<\/h4>\n<p>The team will use \u00a3313,700 in funding to develop an AI system that will streamline selling electricity back to the grid.<\/p>\n<p>The work will improve the efficiency of the process and enable a faster rate of return.<\/p>\n<h3>Previous UK funding for AI use in decarbonisation<\/h3>\n<p>The funding announcement follows previous investments provided through the scheme. This included \u00a31m awarded to eight winners and \u00a3500,000 awarded last year to set up to UK\u2019s Artificial Intelligence for Decarbonisation\u2019s Virtual Centre for Excellence (ADViCE).<\/p>\n<p>The centre aims to understand and address barriers that prevent companies from using AI to decarbonise, bringing together AI developers, investors, local government, and academics.<\/p>\n<p>Professor Adam Sobey, Programme Director of Data Centric Engineering at The Alan Turing Institute, said: \u201cThese projects will allow the UK to reduce emissions from operations and embedded carbon in production, helping the nation meet challenging climate change targets.<\/p>\n<p>\u201cWe look forward to working with these innovative new projects through the AI for Decarbonisation Virtual innovation Centre of Excellence.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The UK Government is to back innovators at the cutting edge of AI technology to use their work to cut carbon emissions across key sectors.<\/p>\n","protected":false},"author":18,"featured_media":45469,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[830],"tags":[570,628],"acf":[],"yoast_head":"\n<title>AI technology to cut carbon emissions across key sectors<\/title>\n<meta name=\"description\" content=\"The UK Government is to back innovators at the cutting edge of AI technology to use their work to cut carbon emissions across key sectors.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.innovationnewsnetwork.com\/ai-technology-cut-carbon-emissions-across-key-sectors\/45462\/\" \/>\n<meta property=\"og:locale\" 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