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.

Are you struggling to effectively organize and analyze your data to troubleshoot bad batches? Multivariate analytics will quickly deliver insights that can increase batch quality, yield and throughput. Manufacturers have already realized 10 percent increase in production and 50 percent reduction in quality variability through the use of such tools. Download this paper now to learn how to get truly meaningful insights from your batch process data for optimal plant performance.

AspenTech的性能工程解决方案有助于提高工程效率和协作。下载此白皮书，了解如何利用并行过程工程和生命周期项目经济学灵活进行投标、项目执行以及将数字项目数据移交给客户。

Multiphase flow through pipes is characterized by the flow regime, liquid hold-up and pressure gradient. Accurate prediction of these flow attributes is necessary for designing and maintaining pipelines and flowlines in the oil and gas industry. Aspen HYSYS provides a number of flow correlations for modeling multiphase pipe flow. To aid the user and provide a basis for comparison, the performance of correlations for different pipeline geometries, fluids, and flow regimes was analyzed. This paper discusses these analyses.

AspenTech® ha inventado un método para integrar modelos de simulación de procesos basados en primeros principios con el conocimiento en operación y algoritmos analíticos de IA. El software resultante de ello es un sistema de modelado híbrido que ofrece un modelo completo y preciso de forma más rápida sin necesidad de una experiencia significativa.

Achieve savings in both engineering hours and CAPEX with modular design through the use of stanadardized designs in re-useable templates.

A AspenTech® desenvolveu um método para integrar modelos fenomenológicos de simulação de processos e o conhecimento do processo com IA e algoritmos de analytics. O resultado é um sistema de modelagem híbrida que oferece um modelo abrangente e preciso mais rapidamente sem exigir uma experiência significativa.

Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. This white paper describes five best practices for driving state-of-the-art reliability management to predict breakdowns months in advance—increasing production and profitability.

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

Learn about the underlying technology and validation results for the Acid Gas - Chemical Solvents Property Package in Aspen HYSYS used for amine solvents in Gas-Liquid Systems, such as MDEA, MEA, DEA, PZ and PZ+MDEA.