Aspen Polymersを活用し逐次重合モデルを構築できます。実験データから反応速度パラメータを回帰し、バッチ/連続重合シミュレーションでポリマー物性を予測します。 モデルを活用することで、実験回数の削減、運転条件の最適化検討が可能となります。

How are you using technology to implement the changes needed to stay competitive? Though market uncertainties remain, one thing is clear: the ability to integrate the production of chemical intermediates into the refining process will be a profit driver in the coming years.

本ウェビナーではAspen Plus V12で搭載された新機能について紹介します。物性ではNISTの3成分系データ参照機能、2成分パラメータの網羅性の確認、Data Regressionの改善があります。モデルでは、反応器の形状ベースの伝熱オプションの追加、反応速度の表示、カスタム反応モデルの拡張、晶析に凝集モデルが追加されました。Aspen Knowledge™が追加され、関連するモデル等の文書や例題へのアクセス、eLearningの利用などユーザーサポート機能が充実しました。また、Aspen Hybrid Models™やAspen Multi-Case™の新製品も利用可能となりました。

Las compañías de refinación y de la Industria química tienen la tarea de cerrar la brecha entre el desempeño planeado y el real de la planta con el objetivo de mejorar los márgenes de ganancia. La tecnología de optimización dinámica aborda estos desafíos al integrar verticalmente la planeación, la programación y el control avanzado de procesos (APC) en lazo cerrado. Reúnase con la experta de AspenTech, Angélica Tequia, para una demostración en vivo y aprenda cómo Aspen GDOT le permite:

Early returns from an ARC Advisory Group survey indicate 45% of respondents require 6 months or more to scale APM solutions across similar sites, while 54% can scale APM across different assets at the same site—but only with tremendous effort and resources. Today’s asset performance management (APM) solutions drive big increases in reliability and profitability, but how well can you scale those benefits across multiple assets, or even multiple sites? Join us to learn how some of today’s industry leaders are using AI and machine learning—combined with their existing data and resources—to overcome skillset or usability hurdles and rapidly scale APM solutions across their organizations.

BLOWDOWN Technology, developed by Dr. Graham Saville and Professor Stephen Richardson of Imperial College London, is now available in Aspen HYSYS, creating the optimal tool for completing depressurization projects. Join technical experts from AspenTech and BLOWDOWN Technology consultants to discover how this technology can ensure the accurate design of depressurization systems that’s vital for safe operations.

Today, enterprises are challenged with ensuring quick business transitions to keep up with changing demands in a volatile and uncertain markets.

Manufacturing companies in all industries are utilizing manufacturing execution systems (MES) to reduce cost and increase productivity in real-time and drive operational excellence. During this webinar, you’ll learn best practices for centralized performance monitoring to improve plant productivity. Learn how to elevate the most important opportunities to add value across an enterprise, increase output and quality with real-time data analysis and process improvements, and successfully deploy MES solutions in the cloud.

During this webinar, attendees will learn how Glanbia met their mission to be one of the world’s top producing nutrition companies in this modern facility by investing in new, powerful tools to support the Food and Beverage industry, ensuring on-time, on-spec delivery of products. With real-time, comprehensive visibility delivered by Aspen Technology software and OrbisMES expertise, Glanbia met high-standards with sustained production.

Process manufacturers are besieged with all kinds of data. The increasing volume and detail of information captured by enterprises is a strong indication that leaders in every sector must deal with the implications of big data. Modern analytics in aspenONE Process Explorer deliver new capabilities that enable deeper and richer analyses and provide speedy access to the information needed to keep production running smoothly.