The Dow Chemical Company has been leveraging Aspen Plant SchedulerTM to improve customer service and maximize asset utilization for over 20 years. Dow’s internal center of excellence has found Aspen Plant Scheduler to be well suited to address the complex schedule requirements of many of its manufacturing sites. In this presentation, Dow will review how Aspen Plant Scheduler is enabling it to make better scheduling decisions for both its Coatings and Polyurethanes Businesses, optimizing raw material, production and loading rack scheduling against complex constraints and varying demand. Dow has deployed Aspen Plant Scheduler to over 50 plants and has plans to for additional global rollouts. Come hear how Dow Chemical leverages Aspen Plant Scheduler to improve its scheduling capability in support of changing market and customer expectations.

Aspen Polymersを活用しフリーラジカル共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、バッチサイクルの短縮検討が可能となります。

Crude distillation units (CDUs) are one of the most critical units to a refinery’s profitability. This is a unique opportunity to learn directly from renowned expert Dr. Prakash Karpe (retired from leading U.S. refiner Phillips 66). Dr. Karpe has over 35-plus years of experience and has perfected the skill of leveraging advanced process simulation technology to implement practical improvements to refinery operation — saving millions of dollars. Learn how you can use Aspen HYSYS to improve your CDU operations and bring savings to your refinery.

Aspen Polymersを活用しフリーラジカル共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、バッチサイクルの短縮検討が可能となります。

Watch a webinar on why asset performance management (APM) is useful for both reducing downtime as well as increasing productivity and profitability.

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.