Climate models use mathematical equations to represent interactions between and within the ocean, land, ice, and atmosphere — providing a means to understand the climate system and predict future climate changes. They are becoming increasingly...
Today's CFD Programs are more powerful and easier to use than ever, thanks to improved mesh-generation strategies, computational methodologies, user interfaces and enhanced graphics capabilities. Cover photo courtesy of Acusim and Intelligent Light.
This article focuses on the regulatory drivers for alarm management, summarizes key practices, and challenges automation vendors to devise new ways to help customers implement more-effective alarm systems.
Use this structured approach, which combines preliminary experimental data with predictive methods and heuristics, to quickly generate and screen process alternatives at the early stages of a new venture.
By employing the latest virtualization solutions for process control systems, chemical plants can reduce PC hardware requirements, simplify system management, and lower the total cost of ownership, as well as improve site availability, reliability,...
In silicocatalyst optimization is the ultimate application of computers in catalysis. This article provides an overview of the basic concepts of predictive modeling and describes how this technique can be used in catalyst and reaction design.
Computer-based environmental compliance training offers a number of advantages. This article discusses the benefits of computer-based training, outlines its most important components, and provides tips for structuring and writing a course.
Computational fluid dynamics has moved from mainframes to PCs and laptops. Newer and better software lets you conduct analyses not possible before, and regular engineers, not just experts, can now carry out CFD.
The flow fields in multiphase separators are often extremely complicated, making it difficult to model such systems. Computational fluid dynamics (CFD) and visual dynamic modeling (VDM) can be used together to overcome some of the challenges.
Dynamic process modeling based on non-uniformly sampled data and multiple sampling runs, even for nonlinear systems, can be performed using spreadsheet implementations of the weighted-least-squares (WLSQ) and Runge-Kutta WLSQ methods.
Selecting a thermodynamic model is an important step in process simulation — one that many engineers overlook. This overview of applied thermodynamics can help you choose the right model for your process.
Information technology issues are just as important as business and environmental, health and safety considerations. Follow these ten tips to deply an effective EMIS with a positive return on investment.
Asset owners who integrate the process engineering, operations and business lifecycles of their facilities can improve return-on-capital by up to 4%. Use this virtual-asset model (VAM) to optimize your business assets.