{"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\/es\/success-stories\/smartops-ai-desal-optimization\/","title":{"rendered":"SmartOps AI - Optimizaci\u00f3n de la desalinizaci\u00f3n"},"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\tdescargar 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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EL APRENDIZAJE AUTOM\u00c1TICO AHORRA ENERG\u00cdA EN GRANDES SWRO SITAS EN ORIENTE MEDIO<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Turing, una empresa de Gradiant, fue capaz de utilizar el aprendizaje autom\u00e1tico para\naplicar su tecnolog\u00eda patentada SmartOps para ahorrar hasta un 5% de energ\u00eda, que son\ncientos de miles de d\u00f3lares, en una gran planta\nde \u00f3smosis inversa de agua de mar en Oriente Medio, respetando\nestrictos l\u00edmites de dise\u00f1o. Se aplic\u00f3 un protocolo internacional de medici\u00f3n\ny verificaci\u00f3n del rendimiento para confirmar los resultados de las pruebas.<\/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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Datos principales<\/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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Ubicaci\u00f3n<\/strong>: Oriente Pr\u00f3ximo<\/p>

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

Soluci\u00f3n<\/strong>: Desalinizaci\u00f3n del agua de mar<\/p>

Industria<\/strong>: Municipios e infraestructuras<\/p>

Fuente de agua de alimentaci\u00f3n<\/strong>: Agua de mar<\/p>

Tecnolog\u00eda<\/strong>: Inteligencia Artificial SmartOps<\/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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Configuraci\u00f3n del sistema<\/strong>: 25 + 1 trenes, rueda Pelton<\/p>

Capacidad del sistema<\/strong>: >200.000 m3\/d\u00eda<\/p>

Fecha<\/strong>: 2021<\/p>

Modelo de entrega<\/strong>: Software como servicio (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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El desaf\u00edo<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Nuestro cliente, ENGIE, una multinacional francesa del sector el\u00e9ctrico, se enfrentaba al problema del elevado consumo de energ\u00eda en una planta de desalinizaci\u00f3n por \u00f3smosis inversa de agua de mar (SWRO) a gran escala situada en Oriente Medio. La desalinizaci\u00f3n de agua de mar consume mucha energ\u00eda por varias razones. La desalinizaci\u00f3n suele requerir una cantidad significativa de energ\u00eda para bombear el agua de mar, presurizarla y hacerla pasar por sistemas de filtraci\u00f3n o membranas para eliminar la sal. El coste de la energ\u00eda contribuye en gran medida al gasto total de la desalinizaci\u00f3n. La optimizaci\u00f3n del rendimiento de m\u00faltiples trenes de \u00f3smosis inversa (OI) tambi\u00e9n supone un reto de enormes proporciones para los operadores, ya que es pr\u00e1cticamente imposible determinar los mejores par\u00e1metros de funcionamiento y la frecuencia de sustituci\u00f3n de las membranas para maximizar el ahorro de energ\u00eda.<\/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 soluci\u00f3n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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La tecnolog\u00eda SmartOps de Gradiant es una potente plataforma de software que utiliza el aprendizaje autom\u00e1tico para optimizar el rendimiento de las plantas y gestionar los activos de forma eficiente. La tecnolog\u00eda tiene en cuenta diversos par\u00e1metros de entrada y salida, garantizando que las instalaciones cumplan las normas de dise\u00f1o operativo y las limitaciones mec\u00e1nicas, al tiempo que se reduce el consumo de energ\u00eda y se mantienen los objetivos de calidad y producci\u00f3n del agua. Es especialmente eficaz para optimizar el flujo de agua en trenes de \u00f3smosis inversa con distintas eficiencias.<\/p>

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Al aprovechar el poder de los algoritmos de IA de aprendizaje autom\u00e1tico, SmartOps puede mejorar y predecir las operaciones de la planta, lo que lleva a mejoras inmediatas en la productividad, ahorro de costes y reducci\u00f3n de las huellas de carbono y agua.<\/p>

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Una auditor\u00eda de datos hist\u00f3ricos demostr\u00f3 que la tecnolog\u00eda digital SmartOps pod\u00eda conseguir un ahorro energ\u00e9tico de hasta un 5%, con una tasa de recuperaci\u00f3n m\u00e1xima del 48% para una planta que utilizaba una rueda Pelton y una v\u00e1lvula de control de alimentaci\u00f3n manual.<\/p>

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Para verificar este ahorro energ\u00e9tico Turing, de la corporaci\u00f3n Gradiant, emple\u00f3 un modelo de simulaci\u00f3n basado en el Protocolo Internacional de Medici\u00f3n y Verificaci\u00f3n del Rendimiento (IPMVP\u00ae) de la ISO para predecir cu\u00e1l habr\u00eda sido el consumo de energ\u00eda en condiciones est\u00e1ndar. Esto confirm\u00f3 el ahorro energ\u00e9tico con el cliente.<\/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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Beneficios<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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El aprendizaje autom\u00e1tico cambia las reglas del juego para los propietarios y operadores de plantas, ayud\u00e1ndoles a controlar eficazmente los sistemas y a tomar decisiones basadas en datos. Las sencillas recomendaciones diarias de configuraci\u00f3n permiten a los operadores introducir f\u00e1cilmente los valores \u00f3ptimos, para que puedan centrarse en suministrar agua de alta calidad a los 600.000 usuarios finales de las instalaciones de ENGIE. Para conseguir este ahorro no es necesario invertir en equipos o hardware adicionales.<\/p>

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La instalaci\u00f3n a gran escala (SWRO) de ENGIE sigue siendo l\u00edder en la adopci\u00f3n de tecnolog\u00eda de aprendizaje autom\u00e1tico. Su \u00e9xito se ha convertido en un modelo para muchas plantas de todo el mundo, permiti\u00e9ndoles replicar estos beneficios. La integraci\u00f3n del aprendizaje autom\u00e1tico no solo ahorr\u00f3 mucha energ\u00eda, sino que tambi\u00e9n mejor\u00f3 el control del sistema y la toma de decisiones basada en datos, lo que benefici\u00f3 tanto a los operadores como a los gestores de la planta.<\/p>

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La tecnolog\u00eda SmartOps Digital de Gradiant sigue revolucionando el sector de la desalinizaci\u00f3n de agua de mar, abriendo el camino para que otras plantas de todo el mundo ahorren energ\u00eda y obtengan ventajas similares.<\/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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Datos impactantes<\/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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Ahorro de energ\u00eda<\/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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M\u00e1ximo<\/p>

Tasa de recuperaci\u00f3n<\/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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Capacidad diaria del sistema<\/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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Diferencial<\/p>

Aumento de la presi\u00f3n<\/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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Tiempo de actividad<\/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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Toneladas Co<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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  Ahorrado cada a\u00f1o<\/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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Aviso legal<\/strong><\/p>

Este documento es s\u00f3lo para informaci\u00f3n general. No se ofrece ni se implica garant\u00eda alguna y Gradiant no est\u00e1 obligada ni es responsable de la informaci\u00f3n aqu\u00ed contenida. El Cliente es el \u00fanico responsable de determinar si la informaci\u00f3n contenida en este documento es apropiada para el uso del Cliente, incluyendo, sin limitaci\u00f3n, las condiciones reales del emplazamiento, geogr\u00e1ficas y de la planta, las especificaciones, los requisitos, la eliminaci\u00f3n, las leyes y los reglamentos aplicables. Este documento es propiedad intelectual de Gradiant, incluyendo pero no limitado a cualquier patente o marca registrada contenida en este documento. La distribuci\u00f3n de este documento no es y no implica ninguna transferencia de la propiedad intelectual de Gradiant.<\/p>

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Gradiant, el logotipo de Gradiant y todas las marcas comerciales y de servicio marcadas con \u2122 o \u00ae son propiedad de filiales de Gradiant Corporation, a menos que se indique lo contrario. 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\/es\/historias-de-exito\/smartops-ai-desal-optimization\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SmartOps AI \u2013 Desal Optimization - 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