{"id":2918,"date":"2024-01-16T10:20:57","date_gmt":"2024-01-16T02:20:57","guid":{"rendered":"https:\/\/www.1ai.net\/?p=2918"},"modified":"2024-01-16T10:21:16","modified_gmt":"2024-01-16T02:21:16","slug":"%e7%a0%94%e7%a9%b6%e8%a1%a8%e6%98%8eai%e5%8f%af%e4%bb%a5%e5%b8%ae%e5%8a%a9%e5%8f%91%e7%94%b5%e5%8e%82%e6%8d%95%e8%8e%b7%e4%ba%8c%e6%b0%a7%e5%8c%96%e7%a2%b3%ef%bc%8c%e5%87%8f%e5%b0%9136%e7%94%b5","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/2918.html","title":{"rendered":"AI can help power plants capture carbon dioxide, reducing electricity consumption by 36%, study shows"},"content":{"rendered":"

Recently, scientists at the University of Surrey in the UK have been able to achieve this throughArtificial Intelligence<\/a>The technology has successfully adapted the coal-fired power plant system to achieve significant results in capturing more carbon dioxide (CO2) while reducing electricity consumption by 36.3%.<\/p>\n

The key to this study is that the scientists usedmodel prediction<\/a>The control method allows the system to make real-time adjustments in response to changes in the external environment. Compared to conventional carbon capture systems, the model can reduce water pumping when CO2 supply is reduced or renewable energy supply is insufficient, thereby achieving greater energy savings while capturing carbon emissions.<\/p>\n

\"202305291455514920_3\"<\/p>\n

Source Note: The image is generated by AI.<\/p>\n

Typically, carbon capture systems remain in a steady state of operation, unaffected by the external environment. However, this study shows that by teaching the system to make small adjustments, significant energy savings can be realized and more CO2 can be captured simultaneously.<\/p>\n

Burning fuel in coal-fired power plants produces large amounts of CO2, a greenhouse gas that adversely affects climate change. To address this issue, scientists have used limestone-containing water to pass through exhaust gases in a process known as 'enhanced weathering', which captures CO2 and converts it into harmless bicarbonate.<\/p>\n

Although the study modeled enhanced weathering as an example, the team notes that this principle is equally applicable to other processes for capturing and storing CO2. They expect this discovery to have wider application in industry and to make a greater contribution to the achievement of the United Nations Sustainable Development Goals.<\/p>\n

In the field of environmental protection and energy, innovations in science and technology will continue to play a key role in providing strong support for achieving clean energy and carbon neutrality goals. This research not only brings new ideas to the field of carbon capture, but also provides valuable experience for the future development of sustainable energy.<\/p>","protected":false},"excerpt":{"rendered":"

Recently, scientists at the University of Surrey in the UK have successfully adapted a coal-fired power plant system through artificial intelligence techniques, achieving the remarkable result of capturing more carbon dioxide (CO2) while reducing electricity consumption by 36.31 TP3T. The key to this research was the scientists' use of model predictive control, which allowed the system to make real-time adjustments in response to changes in the external environment. Compared to conventional carbon capture systems, the model can reduce water pumping when CO2 supply decreases or renewable energy is in short supply, resulting in greater energy savings while capturing carbon emissions. Source Note: Image generated by AI, image licensed by Midjourney Normally, carbon capture systems remain in a steady state of operation, unaffected by the external environment. However, this study shows that by<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[146],"tags":[204,936],"collection":[],"class_list":["post-2918","post","type-post","status-publish","format-standard","hentry","category-news","tag-204","tag-936"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/2918","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=2918"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/2918\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=2918"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=2918"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=2918"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=2918"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}