{"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\/sv\/2024\/01\/researchers-use-ai-to-reduce-carbon-capture-energy-consumption-by-a-third\/","title":{"rendered":"Forskare anv\u00e4nder AI f\u00f6r att minska energif\u00f6rbrukningen f\u00f6r koldioxidavskiljning med en tredjedel"},"content":{"rendered":"

I en studie som publicerades i Reaction Chemistry and Engineering av forskare vid University of Surrey anv\u00e4ndes AI f\u00f6r att f\u00f6rb\u00e4ttra koldioxidavskiljningen vid kraftverk, vilket minskade energif\u00f6rbrukningen med \u00f6ver en tredjedel.<\/b><\/p>\n

Den forskning<\/a>under ledning av professor Jin Xuan, \u00e4mnesf\u00f6retr\u00e4dare f\u00f6r h\u00e5llbara processer vid University of Surrey's School of Chemistry and Chemical Engineering, fokuserade p\u00e5 att optimera system f\u00f6r koldioxidavskiljning.\u00a0<\/span><\/p>\n

Den visar upp ett modellsystem baserat p\u00e5 ett riktigt kolkraftverk som anv\u00e4nder AI f\u00f6r att uppn\u00e5 en 16,7% \u00f6kning av koldioxidavskiljningen (CO2) samtidigt som f\u00f6rbrukningen av icke-energi fr\u00e5n Storbritanniens nationella n\u00e4t minskar med 36,3%.<\/span><\/p>\n

Prof. Xuan betonade det nya i detta tillv\u00e4gag\u00e5ngss\u00e4tt, <\/span>som anges i en artikel fr\u00e5n University of Surrey<\/span><\/a>\"Vanligtvis k\u00f6rs system f\u00f6r koldioxidavskiljning konstant, i samma takt - oavsett hur milj\u00f6n f\u00f6r\u00e4ndras utifr\u00e5n. Men vi visade att om man l\u00e4r systemet att forts\u00e4tta g\u00f6ra sm\u00e5 anpassningar kan det ge stora energibesparingar - och samtidigt f\u00e5nga in mer koldioxid.\"<\/span><\/p>\n

Koldioxidavskiljning \u00e4r en viktig process f\u00f6r att minska milj\u00f6p\u00e5verkan fr\u00e5n CO2, den ledande v\u00e4xthusgasen som produceras av de flesta kraftverk.\u00a0<\/span><\/p>\n

Detta uppn\u00e5s vanligtvis genom f\u00f6rst\u00e4rkt vittring, en metod d\u00e4r r\u00f6kgasen bubblas genom vatten som inneh\u00e5ller kalksten, som reagerar med kalciumkarbonat f\u00f6r att bilda ofarligt bikarbonat.\u00a0<\/span><\/p>\n

Processen \u00e4r dock energikr\u00e4vande, eftersom det kr\u00e4vs energi f\u00f6r att pumpa vatten och CO2. Anl\u00e4ggningen f\u00f6r avskiljning av CO2 i studien hade en egen vindturbin f\u00f6r f\u00f6rnybar energi, men i lugnare v\u00e4der, n\u00e4r detta inte r\u00e4ckte till, anv\u00e4ndes energi fr\u00e5n eln\u00e4tet.\u00a0\u00a0<\/span><\/p>\n

Forskargruppens framg\u00e5ngar ligger i att med hj\u00e4lp av AI g\u00f6ra det m\u00f6jligt f\u00f6r modellsystemet att f\u00f6rutse fluktuationer i CO2-produktionen och tillg\u00e5ngen p\u00e5 f\u00f6rnybar energi. Detta gjorde det m\u00f6jligt f\u00f6r systemet att justera vattenpumpningen i enlighet med detta och optimera energianv\u00e4ndningen \u00f6ver tid.<\/span><\/p>\n

\"Maskininl\u00e4rning
Optimering av teknik f\u00f6r avskiljning av koldioxid med maskininl\u00e4rning. K\u00e4llan \u00e4r: Reaktionskemi och teknik<\/a>.<\/figcaption><\/figure>\n

Dr. Lei Xing, lektor i kemi och kemiteknik vid University of Surrey, belyste konsekvenserna av deras resultat och sa: \"\u00c4ven om vi testade v\u00e5r modell p\u00e5 f\u00f6rst\u00e4rkt vittring, g\u00e4ller principerna mer allm\u00e4nt. V\u00e5r modell kan hj\u00e4lpa alla som f\u00f6rs\u00f6ker f\u00e5nga in och lagra mer CO2 med mindre energi - oavsett vilken process de anv\u00e4nder.\"<\/span><\/p>\n

Forskarna hoppas att dessa resultat kan bidra till FN:s m\u00e5l f\u00f6r h\u00e5llbar utveckling, som syftar till att minska belastningen p\u00e5 icke-f\u00f6rnybara energik\u00e4llor och investera i innovativa tekniker f\u00f6r att f\u00e5nga upp koldioxid.\u00a0\u00a0<\/span><\/p>\n

Tidigare i januari i \u00e5r anv\u00e4nde Microsoft AI f\u00f6r att skapa en ny elektrolyt f\u00f6r litiumbatterier som kan minska <\/span>litiuminneh\u00e5ll i batterier av vissa 70%<\/span><\/a>.<\/span><\/p>\n

Mer om studien<\/span><\/h2>\n

Studien syftade till att optimera koldioxidavskiljningen f\u00f6r att minska anv\u00e4ndningen av icke f\u00f6rnybara energik\u00e4llor samtidigt som koldioxidavskiljningen bibeh\u00e5lls eller f\u00f6rb\u00e4ttras.\u00a0<\/span><\/p>\n

AI anv\u00e4ndes f\u00f6r att justera systemet baserat p\u00e5 sm\u00e5 f\u00f6r\u00e4ndringar i st\u00e4llet f\u00f6r att k\u00f6ra kontinuerligt i samma takt.\u00a0<\/span><\/p>\n

S\u00e5 h\u00e4r fungerar det:<\/span><\/p>\n

    \n
  • Skapa modeller f\u00f6r avskiljning av CO2<\/b>: Forskare utvecklade maskininl\u00e4rningsmodeller f\u00f6r att f\u00f6ruts\u00e4ga hur effektivt en reaktor kan f\u00e5nga CO2 och hur mycket energi den skulle anv\u00e4nda. De anv\u00e4nde tv\u00e5 typer av modeller: LSTM (Long Short-Term Memory) och MLP (Multilayer Perceptron).<\/span><\/li>\n
  • Prognoser f\u00f6r nyckelfaktorer med AI<\/b>: De anv\u00e4nde AI f\u00f6r att f\u00f6rutse tv\u00e5 avg\u00f6rande faktorer: hur mycket CO2 som skulle finnas i gasen fr\u00e5n ett kolkraftverk och hur mycket vindkraft som skulle finnas tillg\u00e4nglig f\u00f6r att driva avskiljningsprocessen. Dessa prognoser \u00e4r viktiga f\u00f6r planeringen av avskiljningsprocessen.<\/span><\/li>\n
  • Testning och f\u00f6rb\u00e4ttring av modellerna<\/b>: Teamet testade rigor\u00f6st sina AI-modeller f\u00f6r noggrannhet med hj\u00e4lp av statistiska metoder. De anv\u00e4nde ocks\u00e5 en teknik som kallas conformal prediction f\u00f6r att avg\u00f6ra hur s\u00e4kra de kunde vara p\u00e5 modellens f\u00f6ruts\u00e4gelser.<\/span><\/li>\n
  • Optimera inspelningsprocessen<\/b>: Med hj\u00e4lp av data fr\u00e5n sina AI-modeller anv\u00e4nde forskarna en sofistikerad algoritm f\u00f6r att hitta den b\u00e4sta balansen mellan att f\u00e5nga in mest CO2 och anv\u00e4nda minst m\u00e4ngd icke-f\u00f6rnybar energi.<\/span><\/li>\n
  • Analys av resultaten<\/b>: Resultaten var lovande. De visade att reaktorn i genomsnitt f\u00e5ngade in 16,7% mer CO2 och anv\u00e4nde 36,3% mindre energi fr\u00e5n icke-f\u00f6rnybara k\u00e4llor under en m\u00e5nad.<\/span><\/li>\n<\/ul>\n

    Detta visar p\u00e5 AI:s anv\u00e4ndbarhet inom teknik f\u00f6r att minska energif\u00f6rbrukningen.\u00a0<\/span><\/p>\n

    L\u00e4ttviktiga AI-system som monteras p\u00e5 energif\u00f6rbrukande processer och apparater kan optimera deras funktionalitet f\u00f6r att effektivt minska resursf\u00f6rbrukningen. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

    I en studie som publicerats i Reaction Chemistry and Engineering av forskare vid University of Surrey anv\u00e4ndes AI f\u00f6r att f\u00f6rb\u00e4ttra koldioxidavskiljningen vid kraftverk, vilket minskade energif\u00f6rbrukningen med \u00f6ver en tredjedel. Forskningen, som leddes av professor Jin Xuan, \u00e4mnesf\u00f6retr\u00e4dare f\u00f6r h\u00e5llbara processer vid University of Surreys School of Chemistry and Chemical Engineering, fokuserade p\u00e5 att optimera system f\u00f6r koldioxidavskiljning. Den visar ett modellsystem baserat p\u00e5 ett verkligt kolkraftverk som anv\u00e4nder AI f\u00f6r att uppn\u00e5 en 16,7% \u00f6kning av koldioxidavskiljningen (CO2) samtidigt som icke-energif\u00f6rbrukningen fr\u00e5n Storbritanniens nationella n\u00e4t minskas med 36,3%. Prof. Xuan betonade vikten av att<\/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 rel=\"canonical\" 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