White Paper

数字孪生与智能企业

在全球范围内,各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业(尤其是能源和化工企业)的性质。在这种情况下,数字孪生(实物资产及其操作行为的虚拟副本)将发挥关键作用。对于今天我们创建的数字孪生,一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。

White Paper

デジタルツインとスマートエンタープライズ

世界中で、主要な組織が高度なデジタル技術を採用および実装しています。デジタルトランスフォーメーションの旅は、資産集約型産業、特にエネルギーおよび化学薬品ビジネスの性質を変えるでしょう。こうした状況下では、デジタルツイン(物理的な資産の仮想化されたコピーとその運用上の動作)が重要な役割を果たします。今日アスペンテックが描くデジタルツインの重要なコンセプトは、仮想データに対して洞察とアドバイスを提供するAIの力です。本ホワイトペーパーでは、これからのデジタルツイン戦略で重要になる鍵をご覧いただけます。

White Paper

The Digital Twin and the Smart Enterprise

Across the globe, leading organizations are embracing and implementing advanced digital technologies. The digital transformation journey will change the nature of asset intensive industries, particularly the energy and chemicals businesses. In that context, digital twins — virtualized copies of physical assets and their operating behaviors — will play key roles. For the digital twins we create today, a key concept is the power of AI in providing insight and advice against the virtual data. Download this white paper to learn about these essential keys to your digital twin strategy:

White Paper

Digital Twin y la empresa inteligente

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:

White Paper

Manufacturing Cost Competitiveness in Commodity Chemicals: Five Essential Principles for Emerging Market Producers

All chemical facilities have opportunities to reduce manufacturing costs, including newer, state-of-the art plants, older plants and those in between. Leading global producers have demonstrated reduced energy consumption, increased yield and higher reliability by simply improving operational practices through the application of advanced technology.

White Paper

7 Secrets to a Well-Run Plant (for Plant Managers)

In this white paper, plant managers, engineers and supervisors can learn the different ways simulations models can be used throughout the lifecycle of their plant. It focuses on seven areas you can use process simulation software (like Aspen Plus or Aspen HYSYS) for troubleshooting, process monitoring, and real time performance monitoring or real time optimization (RTO).

White Paper

Three Essential Operations in a Plant: Simulation Models Turn Innovative Ideas Into Reality

Whether it’s a pilot plant or a complex petrochemical plant, these facilities rarely run like a well-oiled machine. There are always unknown variable dependencies that are difficult to understand, and there’s substantial room for improvement. In many situations, optimization is not the focus for plants because there are issues with reliability and safety that take precedence. Does this sound familiar? The ability to simplify job tasks and boost efficiency will greatly enhance plant performance but also, make your job easier

White Paper

Column Analysis in Aspen Plus and Aspen HYSYS: Validation with Experimental and Plant Data

With new insight into the hydraulic performance of trays and packing you can make better decisions for more efficient column design, operation support and troubleshooting. This white paper compares the results of the new functionality to KG-TOWER and Sulcol software, as well as experimental data. 

White Paper

Use Advanced Simulation to Improve Processes Involving Solids

Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability. Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.

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