アスペンテックは、第一原理に基づくプロセスシミュレーションモデルと専門知識をAIおよびアナリティクスアルゴリズムと統合するための手法を考案しました。その結果生まれたアプリケーションソフトウェアは、第一原理モデリングだけ、あるいはAIだけの場合よりも多くのことを達成できるハイブリッドモデリングシステムです。

It is critical for combined cycle power plants to control costs and increase efficiency. In order to accomplish these goals, these plants must make every effort to avoid costly shutdowns, including implementing the newest innovative technologies. This white paper details how combined cycle power plants can leverage the lessons learned from other industries to capture more value from capital equipment, thereby improving operations overall.

Aspen Unified reúne planejamento e programação em um só ambiente para melhorar a tomada de decisões e obter margens mais altas. Descubra como você pode automatizar tarefas rotineiras, como reconciliar com dados reais da planta, visualizar resultados, criar conjuntos de casos e criar o primeiro cronograma viável, economizando centenas de horas de trabalho por ano.

Watch this video for an introduction of how Aspen Plant Scheduler and Aspen Mtell work together to predict and minimize the impact of downtime

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.

Column Analysis in Aspen Plus allows you to view the whole column, identify any hydraulic issues, understand the operating range, and communicate your findings. See the impact of modifications in packing and trays, and cost as you make changes.

AspenTech's RAM analysis software, Aspen Fidelis Reliability, is pivotal when considering reliability, maintainability , and availability of your equipment, process or system.

Compares the traditional method of tuning a controller to Smart Tune which allows users to directly specify operational objectives. Breaks down how the new algorithm works through animations and summarizes the benefits: reduce efforts and complexity, quickly adapt controller to changing economic conditions, process changes or model updates, easily simulate, troubleshoot and modify controller strategy online and increase operator acceptance and controller uptime.   

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.

The energy industry has been hit hard by current global economic interruptions: rapid drops in demand, a changing mix of preferred products, plummeting crude prices, difficulty staffing essential production sites and fragile supply lines. Energy companies are re-examining their digital capabilities and increasing their focus on digitalization as an essential strategy.