{"id":9300,"date":"2024-01-17T17:21:49","date_gmt":"2024-01-17T17:21:49","guid":{"rendered":"https:\/\/dailyai.com\/?p=9300"},"modified":"2024-01-17T20:53:30","modified_gmt":"2024-01-17T20:53:30","slug":"researchers-use-ai-to-reduce-carbon-capture-energy-consumption-by-a-third","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2024\/01\/researchers-use-ai-to-reduce-carbon-capture-energy-consumption-by-a-third\/","title":{"rendered":"Des chercheurs utilisent l'IA pour r\u00e9duire d'un tiers la consommation d'\u00e9nergie li\u00e9e \u00e0 la capture du carbone"},"content":{"rendered":"

Une \u00e9tude publi\u00e9e dans Reaction Chemistry and Engineering par des chercheurs de l'universit\u00e9 du Surrey a utilis\u00e9 l'IA pour am\u00e9liorer la capture du carbone dans les centrales \u00e9lectriques, r\u00e9duisant ainsi la consommation d'\u00e9nergie de plus d'un tiers.<\/b><\/p>\n

Les recherche<\/a>Le projet, dirig\u00e9 par le professeur Jin Xuan, titulaire de la chaire sur les processus durables \u00e0 l'\u00e9cole de chimie et de g\u00e9nie chimique de l'universit\u00e9 du Surrey, s'est concentr\u00e9 sur l'optimisation des syst\u00e8mes de capture du carbone.\u00a0<\/span><\/p>\n

Il pr\u00e9sente un syst\u00e8me mod\u00e8le bas\u00e9 sur une v\u00e9ritable centrale \u00e9lectrique au charbon qui utilise l'IA pour augmenter de 16,71 TTP3 la capture du dioxyde de carbone (CO2) tout en r\u00e9duisant simultan\u00e9ment la consommation non \u00e9nerg\u00e9tique du r\u00e9seau national britannique de 36,31 TTP3.<\/span><\/p>\n

Le professeur Xuan a soulign\u00e9 la nouveaut\u00e9 de cette approche, <\/span>dans un article de l'Universit\u00e9 de Surrey.<\/span><\/a>Habituellement, les syst\u00e8mes de capture du carbone fonctionnent en permanence, au m\u00eame rythme, ind\u00e9pendamment de l'\u00e9volution de l'environnement ext\u00e9rieur. Mais nous avons montr\u00e9 qu'en apprenant au syst\u00e8me \u00e0 continuer \u00e0 faire de petites adaptations, on peut r\u00e9aliser d'importantes \u00e9conomies d'\u00e9nergie et capturer plus de carbone en m\u00eame temps.\"<\/span><\/p>\n

La capture du carbone est un processus essentiel pour att\u00e9nuer l'impact environnemental du CO2, le principal gaz \u00e0 effet de serre produit par la plupart des centrales \u00e9lectriques.\u00a0<\/span><\/p>\n

Pour ce faire, on a g\u00e9n\u00e9ralement recours \u00e0 l'alt\u00e9ration climatique am\u00e9lior\u00e9e, une m\u00e9thode qui consiste \u00e0 faire barboter les gaz de combustion dans de l'eau contenant du calcaire, ce qui r\u00e9agit avec le carbonate de calcium pour former du bicarbonate inoffensif.\u00a0<\/span><\/p>\n

Toutefois, ce processus est gourmand en \u00e9nergie, car il faut de l'\u00e9lectricit\u00e9 pour pomper l'eau et le CO2. L'usine de capture du CO2 \u00e9tudi\u00e9e disposait de sa propre \u00e9olienne pour l'\u00e9nergie renouvelable, mais lorsque le temps \u00e9tait plus calme et que cela ne suffisait pas, elle utilisait l'\u00e9nergie du r\u00e9seau.\u00a0\u00a0<\/span><\/p>\n

Les r\u00e9alisations de l'\u00e9quipe de recherche r\u00e9sident dans l'utilisation de l'IA pour permettre au syst\u00e8me mod\u00e8le de pr\u00e9voir les fluctuations de la production de CO2 et de la disponibilit\u00e9 des \u00e9nergies renouvelables. Cela a permis au syst\u00e8me d'ajuster le pompage de l'eau en cons\u00e9quence, optimisant ainsi l'utilisation de l'\u00e9nergie au fil du temps.<\/span><\/p>\n

\"Apprentissage
Optimisation des technologies de capture du carbone gr\u00e2ce \u00e0 l'apprentissage automatique. Source : Chimie et ing\u00e9nierie des r\u00e9actions<\/a>.<\/figcaption><\/figure>\n

Lei Xing, ma\u00eetre de conf\u00e9rences en chimie et en g\u00e9nie chimique \u00e0 l'universit\u00e9 du Surrey, a soulign\u00e9 les implications de ces r\u00e9sultats : \"Bien que nous ayons test\u00e9 notre mod\u00e8le sur l'alt\u00e9ration am\u00e9lior\u00e9e, les principes s'appliquent plus largement. Notre mod\u00e8le pourrait aider tous ceux qui essaient de capturer et de stocker plus de CO2 avec moins d'\u00e9nergie, quel que soit le processus qu'ils utilisent\".<\/span><\/p>\n

Les chercheurs esp\u00e8rent que ces r\u00e9sultats pourront contribuer aux objectifs de d\u00e9veloppement durable des Nations unies, qui visent \u00e0 r\u00e9duire la pression sur les sources d'\u00e9nergie non renouvelables et \u00e0 investir dans des technologies innovantes de capture du carbone.\u00a0\u00a0<\/span><\/p>\n

En janvier dernier, Microsoft a utilis\u00e9 l'IA pour cr\u00e9er un nouvel \u00e9lectrolyte de batterie au lithium capable de r\u00e9duire les \u00e9missions de gaz \u00e0 effet de serre. <\/span>la teneur en lithium des piles par certains 70%<\/span><\/a>.<\/span><\/p>\n

En savoir plus sur l'\u00e9tude<\/span><\/h2>\n

L'\u00e9tude visait \u00e0 optimiser le captage du carbone afin de r\u00e9duire l'utilisation de sources d'\u00e9nergie non renouvelables tout en maintenant ou en am\u00e9liorant le captage du CO2.\u00a0<\/span><\/p>\n

Il utilise l'IA pour ajuster le syst\u00e8me en fonction de petits changements plut\u00f4t que de fonctionner en continu au m\u00eame rythme.\u00a0<\/span><\/p>\n

Voici comment cela fonctionne :<\/span><\/p>\n

    \n
  • Cr\u00e9ation de mod\u00e8les pour le captage du CO2<\/b>: Les chercheurs ont d\u00e9velopp\u00e9 des mod\u00e8les d'apprentissage automatique pour pr\u00e9dire l'efficacit\u00e9 avec laquelle un r\u00e9acteur pourrait capturer le CO2 et la quantit\u00e9 d'\u00e9nergie qu'il consommerait. Ils ont utilis\u00e9 deux types de mod\u00e8les : LSTM (Long Short-Term Memory) et MLP (Multilayer Perceptron).<\/span><\/li>\n
  • Pr\u00e9voir les facteurs cl\u00e9s gr\u00e2ce \u00e0 l'IA<\/b>: Ils ont utilis\u00e9 l'IA pour pr\u00e9dire deux facteurs cruciaux : la quantit\u00e9 de CO2 contenue dans le gaz d'une centrale au charbon et la quantit\u00e9 d'\u00e9nergie \u00e9olienne disponible pour alimenter le processus de capture. Ces pr\u00e9visions sont importantes pour la planification du processus de capture.<\/span><\/li>\n
  • Tester et am\u00e9liorer les mod\u00e8les<\/b>: L'\u00e9quipe a rigoureusement test\u00e9 la pr\u00e9cision de ses mod\u00e8les d'IA \u00e0 l'aide de m\u00e9thodes statistiques. Elle a \u00e9galement utilis\u00e9 une technique appel\u00e9e pr\u00e9diction conforme pour d\u00e9terminer le degr\u00e9 de confiance qu'elle pouvait accorder aux pr\u00e9dictions du mod\u00e8le.<\/span><\/li>\n
  • Optimiser le processus de capture<\/b>: En utilisant les donn\u00e9es de leurs mod\u00e8les d'IA, les chercheurs ont employ\u00e9 un algorithme sophistiqu\u00e9 pour trouver le meilleur \u00e9quilibre entre la capture de la plus grande quantit\u00e9 de CO2 et l'utilisation de la plus petite quantit\u00e9 d'\u00e9nergie non renouvelable.<\/span><\/li>\n
  • Analyse des r\u00e9sultats<\/b>: Les r\u00e9sultats sont prometteurs. Ils ont montr\u00e9 qu'en moyenne, le r\u00e9acteur captait 16,7% de CO2 en plus et consommait 36,3% d'\u00e9nergie non renouvelable en moins sur une p\u00e9riode d'un mois.<\/span><\/li>\n<\/ul>\n

    Cela d\u00e9montre l'utilit\u00e9 de l'IA dans les technologies de r\u00e9duction de la consommation d'\u00e9nergie.\u00a0<\/span><\/p>\n

    Les syst\u00e8mes d'IA l\u00e9gers install\u00e9s sur les processus et les appareils consommateurs d'\u00e9nergie peuvent optimiser leur fonctionnalit\u00e9 afin de r\u00e9duire efficacement la consommation de ressources. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Une \u00e9tude publi\u00e9e dans Reaction Chemistry and Engineering par des chercheurs de l'universit\u00e9 du Surrey a utilis\u00e9 l'IA pour am\u00e9liorer la capture du carbone dans les centrales \u00e9lectriques, r\u00e9duisant ainsi la consommation d'\u00e9nergie de plus d'un tiers. La recherche, dirig\u00e9e par le professeur Jin Xuan, titulaire de la chaire des processus durables \u00e0 l'\u00e9cole de chimie et de g\u00e9nie chimique de l'universit\u00e9 du Surrey, a port\u00e9 sur l'optimisation des syst\u00e8mes de capture du carbone. Elle pr\u00e9sente un syst\u00e8me mod\u00e8le bas\u00e9 sur une v\u00e9ritable centrale \u00e9lectrique au charbon qui utilise l'IA pour augmenter de 16,71 TTP3T la capture du dioxyde de carbone (CO2) tout en r\u00e9duisant simultan\u00e9ment de 36,31 TTP3T la consommation non \u00e9nerg\u00e9tique du r\u00e9seau national du Royaume-Uni. Le professeur Xuan a mis l'accent sur l'importance de l'intelligence artificielle dans la gestion de l'\u00e9nergie.<\/p>","protected":false},"author":2,"featured_media":9301,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[522,262,105],"class_list":["post-9300","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-energy","tag-energy-consumption","tag-machine-learning"],"yoast_head":"\nResearchers use AI to reduce carbon capture energy consumption by a third | DailyAI<\/title>\n<meta name=\"description\" content=\"A study published in Reaction Chemistry and Engineering by researchers at the University of Surrey used AI to enhance carbon capture at power plants, reducing energy consumption by over a third.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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