Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

下载白皮书了解如何为化工厂建模，以提高绩效：

아스펜테크는 퍼스트 프린시플(first principles), 즉 보존 법칙 기반의 공정 시뮬레이션 모델, 전문 지식(domain expertise)을 인공지능 (AI) 및 분석 알고리즘과 통합하는 방법을 개발했습니다. 이를 통해 완성된 하이브리드 모델링 (hybrid modeling) 솔루션을 활용하여 광범위한 데이터 세트를 분석하는 모델을 생성하는 것은 물론, 고도의 전문지식 없이도 정확한 모델을 신속하게 만들 수 있습니다.

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

Read this new white paper to find out how digital technologies can now guide improvements at all stages of an asset lifecycle – from unit design and operations optimization to maintenance programs.

See how you can use Aspen Technology solutions to develop a refinery wide process model that would enable refinery process engineers to evaluate the economic impact of operational changes and help planners achieve a more accurate assessment of profit margins.

En todo el mundo, las organizaciones lideres están adaptando e implementado tecnologías digitales avanzadas. La travesía de transformación digital cambiará la naturaleza de las industrias intensivas de activos, particularmente los negocios de energía y químicos. En ese contexto, Digital Twin — (copias virtuales de activos físicos y sus comportamientos operativos) tendrán papeles clave. Para los gemelos digitales que creemos hoy, un concepto clave es la inteligencia artificial que proporciona información y asesoramiento sobre los datos virtuales. Descargue este White Paper para conocer sobre estas claves esenciales en su estrategia de digital twin:

Asset Performance Management (APM) technology, predictive and prescriptive analytics, and artificial intelligence (AI) can play an important role for the food and beverage processing industry. In fact, no other industry is better suited for an approach that provides more lead time for critical maintenance decisions.

Industrial organizations require historical and real-time data for AI and analytics on the cloud to keep the business running efficiently.

Today’s industries face mounting challenges in assuring the best operational performance of assets, both mechanical and process. Managing asset performance is the key element of controlling the operational risk that varying situations can present.