Refining and chemical companies are tasked with finding ways to bridge the gap between planned and actual plant performance to improve profit margins. Dynamic optimization technology addresses these challenges by vertically integrating planning, scheduling and advanced process control (APC) in a closed loop. Join AspenTech experts for a demonstration of Aspen GDOT and learn how it enables you to:

What is a digital twin? Why is it an essential building block for your organization’s initiatives, such as sustainability, operational excellence and improved margins? Leading energy and chemical companies are leveraging digital twin technology to model the behavior and performance of assets to improve their bottom line. In this on-demand webinar AspenTech’s Market Strategy Director and industry expert Ron Beck shares how digital twin technology provides the following benefits:

Capitalizing on innovation to optimize the petrochemical industry

Aspen Plusのバッチ乾燥機モデルについて紹介します。バッチ乾燥シミュレーションを行うことで、運転操作の最適化が可能になります。

Self Optimizing Plant Industrial AI Self Learning Self Adapting Self Maintaining Asset Lifecycle Accelerate Digital Transformation Hybrid Modelling

Aspen Plusのバッチろ過モデルについて紹介します。BatchOpモデルは反応、晶析、濾過のバッチモデルであり、晶析から濾過の一貫としたプロセスの検討を行うことができます。

Digitalization is an imperative in today’s volatile environment where a new generation of younger, inexperienced operators bring increased risk. The process industries, in particular, need new ways to help operators navigate the growing complexity that comes with the job. Innovations in process modeling, 3D visualization and digital twin deployment enable operators to practice their skills digitally in identifying and responding to potential issues, mitigating risk and optimizing performance.

Dynamic simulation benefits across the plant lifecycle

Managing refineries with greater speed and ease of use

現実プラントで測定できるプロセスの値は、連続プラントにおいても常に変動しているため、Aspen PlusやHYSYSのシミュレーションの挙動と一致させるのは容易ではありません。このセッションでは、シミュレーションの挙動を現実プラントと一致させるためのPlant Data機能 (プラントヒストリアンからのタグデータインポート、データコンディショニング、定常状態判定など)についてご紹介します。Plant Data機能は、プロセス性能の経時的なモニタリングにも活用でき、例えば長期的に変動する熱交換器の汚れや反応器の触媒活性のモニタリングに役立ちます。