{"id":14657,"date":"2025-04-10T14:59:02","date_gmt":"2025-04-10T14:59:02","guid":{"rendered":"https:\/\/dailyai.com\/?p=14657"},"modified":"2026-10-25T14:50:36","modified_gmt":"2026-10-25T14:50:36","slug":"power-hungry-ai-will-devour-japan-sized-energy-supply-by-2030","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nl\/2025\/04\/power-hungry-ai-will-devour-japan-sized-energy-supply-by-2030\/","title":{"rendered":"Energieverslindende AI zal tegen 2030 een energievoorraad ter grootte van Japan opslokken."},"content":{"rendered":"

AI zet de elektriciteitsnetten wereldwijd nu al onder druk, maar volgens een nieuw rapport staan we nog maar aan het begin.\u00a0<\/strong><\/p>\n

Volgens de prognoses zullen AI-datacenters in 2030 bijna net zoveel elektriciteit verbruiken als heel Japan nu. laatste voorspellingen<\/a> van het Internationaal Energieagentschap (IEA).<\/span><\/p>\n

De datacenters van vandaag verbruiken al ongeveer 1,5% van de wereldwijde elektriciteit<\/a> \u2013 dat is ongeveer 415 terawattuur per jaar. Het IEA verwacht dat dit tegen 2030 meer dan zal verdubbelen tot bijna 950 TWh, wat neerkomt op bijna 3% aan wereldwijde elektriciteit.<\/span><\/p>\n

De gespecialiseerde hardware waarop AI-systemen draaien, is de werkelijke verbruiker. De elektriciteitsvraag voor deze "versnelde servers" zal tot 2030 met maar liefst 301 ton per jaar stijgen, terwijl de vraag naar elektriciteit voor conventionele servers met een meer bescheiden 91 ton per jaar toeneemt.<\/span><\/p>\n

Sommige datacenters die al in aanbouw zijn, zullen evenveel stroom verbruiken als 2 miljoen gemiddelde huishoudens, terwijl andere, die al voor de toekomst zijn aangekondigd, naar verwachting 5 miljoen of meer zullen verbruiken.\u00a0<\/span><\/p>\n

\"IEA\"
Sommige datacenters verbruiken mogelijk meer dan 4 miljoen huishoudens. Bron: IEA.<\/figcaption><\/figure>\n

Een zeer ongelijke verdeling<\/b><\/h2>\n

Volgens het IEA zullen Amerikaanse datacenters in 2030 ongeveer 1200 kilowattuur (kWh) per persoon verbruiken \u2013 dat is ruwweg 10% van wat een heel Amerikaans huishouden in een jaar verbruikt, en \"een orde van grootte hoger dan in welke andere regio ter wereld dan ook\". <\/span>Afrika zal ondertussen nauwelijks 2 kWh per persoon halen.<\/span><\/p>\n

Regionaal gezien zijn sommige gebieden de gevolgen al merkbaar. In Ierland verbruiken datacenters maar liefst 20% van de nationale elektriciteit. Zes Amerikaanse staten besteden meer dan 10% van hun stroom aan datacenters, met Virginia als koploper met 25%.<\/span><\/p>\n

Kan schone energie de vraag bijhouden?<\/b><\/h2>\n

Ondanks de vrees dat de grote vraag naar AI de klimaatdoelstellingen effectief zou kunnen ondermijnen, is het IEA van mening dat deze zorgen "overdreven" zijn.\u201c\u00a0<\/span><\/p>\n

Naar verwachting zal bijna de helft van de extra elektriciteit die tot 2030 nodig is voor datacenters afkomstig zijn van hernieuwbare bronnen, hoewel fossiele brandstoffen nog steeds een belangrijke rol zullen spelen.<\/span><\/p>\n

De energiemix verschilt enorm per regio. In China wordt bijna 70% aan datacenters momenteel aangedreven door steenkool. In de VS is aardgas de belangrijkste energiebron met 40%, gevolgd door hernieuwbare energiebronnen met 24%.<\/span><\/p>\n

\"IEA\"
Hernieuwbare energiebronnen zullen een belangrijke rol spelen in de ontwikkeling van AI. Bron: IEA.<\/figcaption><\/figure>\n

Vooruitkijkend, kleine modulaire kernreactoren (SMR's)<\/a> Dit zou van cruciaal belang kunnen worden om te voorzien in de energiebehoefte van AI na 2030.<\/span><\/p>\n

Technologiebedrijven zoals OpenAI zijn al van plan om meer dan 20 gigawatt aan SMR-capaciteit te financieren \u2013 een teken dat ze nadenken over energiezekerheid op de lange termijn. Microsoft wil zelfs de SMR-technologie nieuw leven inblazen. de gesloten kerncentrale Three Mile Island<\/a>.\u00a0<\/span><\/p>\n

Effici\u00ebntie versus expansie<\/b><\/h2>\n

Het IEA speculeert over verschillende mogelijke toekomstscenario's voor het energieverbruik van AI. <\/span>In hun \"Lift-Off\"-scenario, dat uitgaat van een wijdverspreide en versnelde adoptie van AI, zou het wereldwijde elektriciteitsverbruik van datacenters in 2035 de 1700 TWh kunnen overschrijden \u2013 bijna 45% hoger dan hun basisprojectie.<\/span><\/p>\n

\"IEA-lancering\"
Het "Lift-Off"-scenario van het IEA wijst op een enorm energieverbruik. Bron: IEA.<\/figcaption><\/figure>\n

Hun alternatieve scenario, \"High Efficiency\", suggereert dat verbeteringen in software, hardware en infrastructuur de elektriciteitsbehoefte met meer dan 15% zouden kunnen verminderen, terwijl dezelfde AI-capaciteit en -prestaties behouden blijven. <\/span>Mocht AI echter op problemen of tegenwind stuiten, dan zou het energieverbruik aanzienlijk lager kunnen uitvallen.\u00a0<\/span><\/p>\n

De belangrijkste conclusie van het IEA is dat het komende decennium de zorgvuldige balans tussen rekenkracht en energie-effici\u00ebntie van AI op de proef zal stellen.<\/p>\n

Of de technologie-industrie dit raadsel kan oplossen, heeft mogelijk niet alleen gevolgen voor de toekomst van AI, maar ook voor de rol die het speelt bij het aanpakken, in plaats van verergeren, van de wereldwijde klimaatcrisis.<\/p>","protected":false},"excerpt":{"rendered":"

AI legt nu al een enorme druk op de elektriciteitsnetten wereldwijd, maar volgens een nieuw rapport staan we nog maar aan het begin. Tegen 2030 zullen AI-datacenters bijna net zoveel elektriciteit verbruiken als heel Japan nu, volgens de laatste prognoses van het Internationaal Energieagentschap (IEA). De huidige datacenters verbruiken al ongeveer 1,5% van de wereldwijde elektriciteit \u2013 dat is ongeveer 415 terawattuur per jaar. Het IEA verwacht dat dit tegen 2030 meer dan zal verdubbelen tot bijna 950 TWh, wat neerkomt op bijna 3% van de wereldwijde elektriciteit. De gespecialiseerde hardware die AI-systemen aanstuurt, is de werkelijke verbruiker.<\/p>","protected":false},"author":2,"featured_media":15533,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[],"class_list":["post-14657","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry"],"yoast_head":"\nPower-hungry AI will devour Japan-sized energy supply by 2030 | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nl\/2025\/04\/power-hungry-ai-will-devour-japan-sized-energy-supply-by-2030\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Power-hungry AI will devour Japan-sized energy supply by 2030 | DailyAI\" \/>\n<meta property=\"og:description\" content=\"AI is already straining power grids around the world, but according to a new report, we\u2019re only just getting started.\u00a0 By 2030, AI data centers will devour almost as much electricity as the entire country of Japan consumes today, according to the latest forecasts from the International Energy Agency (IEA). 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