{"id":9192,"date":"2023-10-25T06:48:00","date_gmt":"2023-10-25T06:48:00","guid":{"rendered":"https:\/\/www.gradiant.com\/?post_type=success-stories&p=9192"},"modified":"2026-04-03T16:11:44","modified_gmt":"2026-04-03T20:11:44","slug":"smartops-ai-desal-optimization","status":"publish","type":"success-stories","link":"https:\/\/www.gradiant.com\/fr\/success-stories\/smartops-ai-desal-optimization\/","title":{"rendered":"SmartOps AI - Optimisation du dessalement"},"content":{"rendered":"
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SmartOps AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<\/path><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\tt\u00e9l\u00e9charger le pdf<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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L'APPRENTISSAGE AUTOMATIQUE PERMET D'\u00c9CONOMISER DE L'\u00c9NERGIE\nPOUR LES GRANDES ENTREPRISES DU MOYEN-ORIENT<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Gr\u00e2ce \u00e0 l'apprentissage automatique, Turing, une filiale de Gradiant, a r\u00e9ussi \u00e0 mettre en \u0153uvre sa technologie brevet\u00e9e SmartOps pour r\u00e9duire jusqu'\u00e0 5% d'\u00e9nergie, ce qui \u00e9quivaut \u00e0 des centaines de milliers de dollars, dans une usine d'osmose invers\u00e9e d'eau de mer au Moyen-Orient, tout en respectant les normes strictes de conception. Un protocole international de mesure\net de v\u00e9rification des performances a \u00e9t\u00e9 appliqu\u00e9 pour confirmer les r\u00e9sultats des essais.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Faits marquants<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Localisation<\/strong>: Moyen-Orient<\/p>

Utilisateur final<\/strong>: ENGIE<\/p>

Solution<\/strong>: Dessalement de l'eau de mer<\/p>

L'industrie<\/strong>: Municipalit\u00e9s et infrastructures<\/p>

Source d'eau d'alimentation<\/strong>: Eau de mer<\/p>

Technologie<\/strong>: SmartOps AI<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Configuration du syst\u00e8me<\/strong>: 25 + 1 trains, roue Pelton<\/p>

Capacit\u00e9 du syst\u00e8me<\/strong>: >200 000 m3\/jour<\/p>

Date en ligne<\/strong>: 2021<\/p>

Mod\u00e8le de livraison<\/strong>: Logiciel en tant que service (SaaS)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Le d\u00e9fi<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Notre client, ENGIE, une multinationale fran\u00e7aise du secteur de l'\u00e9lectricit\u00e9, a d\u00fb faire face \u00e0 une consommation d'\u00e9nergie \u00e9lev\u00e9e dans une grande usine de dessalement d'eau de mer par osmose inverse (SWRO) au Moyen-Orient. Le dessalement de l'eau de mer consomme beaucoup d'\u00e9nergie pour plusieurs raisons. Le dessalement n\u00e9cessite g\u00e9n\u00e9ralement une quantit\u00e9 importante d'\u00e9nergie pour pomper l'eau de mer, la pressuriser et la faire passer par des syst\u00e8mes de filtration ou de membranes afin d'en retirer le sel. Le co\u00fbt de l'\u00e9nergie est un \u00e9l\u00e9ment important du co\u00fbt global du dessalement. L'optimisation des performances de plusieurs trains d'osmose inverse (OI) repr\u00e9sente \u00e9galement un d\u00e9fi de taille pour les op\u00e9rateurs, car il est pratiquement impossible de d\u00e9terminer les meilleurs param\u00e8tres de fonctionnement et la fr\u00e9quence de remplacement des membranes pour maximiser les \u00e9conomies d'\u00e9nergie.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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La solution<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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La technologie SmartOps de Gradiant est une plateforme logicielle puissante qui utilise l'apprentissage automatique pour optimiser les performances des installations et g\u00e9rer efficacement les actifs. La technologie prend en compte divers param\u00e8tres d'entr\u00e9e et de sortie, garantissant que les installations respectent les normes de conception op\u00e9rationnelle et les limites m\u00e9caniques, tout en r\u00e9duisant la consommation d'\u00e9nergie et en maintenant la qualit\u00e9 de l'eau et les objectifs de production. Elle est particuli\u00e8rement efficace pour optimiser le flux d'eau dans les trains d'osmose inverse dont l'efficacit\u00e9 varie.<\/p>

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En exploitant la puissance des algorithmes d'apprentissage automatique de l'IA, SmartOps peut am\u00e9liorer et pr\u00e9voir les op\u00e9rations de l'usine, ce qui entra\u00eene des am\u00e9liorations imm\u00e9diates de la productivit\u00e9, des \u00e9conomies de co\u00fbts et une r\u00e9duction des empreintes carbone et eau.<\/p>

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Un audit des donn\u00e9es historiques a montr\u00e9 que la technologie num\u00e9rique SmartOps pouvait permettre de r\u00e9aliser des \u00e9conomies d'\u00e9nergie allant jusqu'\u00e0 5%, avec un taux de r\u00e9cup\u00e9ration maximal de 48% pour une usine utilisant une roue Pelton et une vanne de contr\u00f4le d'alimentation manuelle.<\/p>

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Pour v\u00e9rifier ces \u00e9conomies d'\u00e9nergie, Gradiant's Turing a utilis\u00e9 un mod\u00e8le de simulation bas\u00e9 sur le protocole international de mesure et de v\u00e9rification des performances (IPMVP\u00ae) de l'ISO pour pr\u00e9dire ce que la consommation d'\u00e9nergie aurait \u00e9t\u00e9 dans des conditions standard. Cela a permis de confirmer les \u00e9conomies d'\u00e9nergie avec le client.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Les avantages<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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L'apprentissage automatique change la donne pour les propri\u00e9taires et les exploitants d'usines, en les aidant \u00e0 contr\u00f4ler efficacement les syst\u00e8mes et \u00e0 prendre des d\u00e9cisions bas\u00e9es sur des donn\u00e9es. Des recommandations quotidiennes simples pour les r\u00e9glages permettent aux op\u00e9rateurs de saisir facilement les meilleures valeurs, afin qu'ils puissent se concentrer sur la fourniture d'une eau de haute qualit\u00e9 aux 600 000 utilisateurs finaux de l'installation d'ENGIE. La r\u00e9alisation de ces \u00e9conomies ne n\u00e9cessite aucun investissement suppl\u00e9mentaire en termes d'\u00e9quipement ou de mat\u00e9riel.<\/p>

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L'installation \u00e0 grande \u00e9chelle (SWRO) d'ENGIE reste un leader dans l'adoption de la technologie d'apprentissage automatique. Son succ\u00e8s est devenu un mod\u00e8le pour de nombreuses usines dans le monde, leur permettant de reproduire ces avantages. L'int\u00e9gration de l'apprentissage automatique a non seulement permis d'\u00e9conomiser beaucoup d'\u00e9nergie, mais aussi d'am\u00e9liorer le contr\u00f4le du syst\u00e8me et la prise de d\u00e9cision fond\u00e9e sur les donn\u00e9es, ce qui a profit\u00e9 aux op\u00e9rateurs et aux gestionnaires de l'usine.<\/p>

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La technologie SmartOps Digital de Gradiant continue de r\u00e9volutionner l'industrie du dessalement de l'eau de mer, ouvrant la voie \u00e0 d'autres usines dans le monde pour \u00e9conomiser de l'\u00e9nergie et obtenir des avantages similaires.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Statistiques d'impact<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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5%<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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\u00c9conomies d'\u00e9nergie<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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48%<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Maximum<\/p>

Taux de r\u00e9cup\u00e9ration<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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>200,000 m<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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3<\/sup><\/p>\t\t\t\t<\/div>\n\t\t\t\t

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Capacit\u00e9 journali\u00e8re du syst\u00e8me<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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<5%<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Diff\u00e9rentiel<\/p>

Augmentation de la pression<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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99.95%<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Temps de fonctionnement<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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12M<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Tonnes Co<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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  Sauv\u00e9s chaque ann\u00e9e<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Avis de non-responsabilit\u00e9<\/strong><\/p>

Ce document est destin\u00e9 \u00e0 des fins d'information g\u00e9n\u00e9rale uniquement. Aucune garantie n'est donn\u00e9e ou impliqu\u00e9e et Gradiant n'est pas li\u00e9 ou responsable des informations contenues dans ce document. Le client a la responsabilit\u00e9 exclusive de d\u00e9terminer si les informations contenues dans ce document sont appropri\u00e9es \u00e0 l'utilisation qu'il en fait, y compris, mais sans s'y limiter, les conditions r\u00e9elles du site, de la zone g\u00e9ographique et de l'usine, les sp\u00e9cifications, les exigences, l'\u00e9limination, les lois et r\u00e8glements applicables. Ce document est la propri\u00e9t\u00e9 intellectuelle de Gradiant, y compris, mais sans s'y limiter, tout brevet ou marque commerciale contenu dans ce document. La distribution de ce document n'est pas et n'implique pas le transfert de la propri\u00e9t\u00e9 intellectuelle de Gradiant.<\/p>

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\u00a0<\/p>

Gradiant, le logo Gradiant et toutes les marques de commerce et de service d\u00e9sign\u00e9es par \u2122 ou \u00ae sont la propri\u00e9t\u00e9 de soci\u00e9t\u00e9s affili\u00e9es \u00e0 Gradiant Corporation, sauf indication contraire. 2023 Gradiant.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

SmartOps AI download pdf MACHINE LEARNING SAVES ENERGY FOR LARGE SWRO IN THE MIDDLE EAST Turing, a Gradiant company, was able to use machine learning to apply its patented SmartOps technology to save up to 5% energy, the equivalent of hundreds of thousands of dollars, at a large seawater reverse osmosis plant in the Middle […]<\/p>\n","protected":false},"featured_media":9464,"template":"","class_list":["post-9192","success-stories","type-success-stories","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nSmartOps AI \u2013 Desal Optimization - Gradiant<\/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:\/\/www.gradiant.com\/fr\/exemples-de-reussites\/smartops-ai-desal-optimization\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SmartOps AI \u2013 Desal Optimization - 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