Computing and Systems Engineering

Matching Your Process Constraints Using Dynamic Simulation

Information Technology
Miquel A. Alos, Jose J. Macias-Hernandez, Iban Grau
A rigorous dynamic process simulator can be used to evaluate alternative control strategies for an exothermic reacting process in order to improve its safety and product quality.

Tools to Model Multiphase Separation

Fluids and Solids Handling
Saeid Mokhatab, David Connolly, Timothy Newton
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.

Track Condenser Performance

Heat Transfer
Brad Buecker
An effective monitoring program can extend equipment life, improve operations, and yield substantial energy savings.

Easily Assess Complex Safety Loops

Lawrence  Beckman
Many safety instrumented systems rely on dissimilar redundant field devices, and this can complicate required analyses. These equations will enable field personnel to handle such situations readily.

Formulating Production Planning Models

Information Technology
Jeffrey D. Kelly
Optimize petroleum and petrochemical plant production by understanding the mathematical modeling behind nonlinear planning models.

Optimize Control Room Communications

James E. Lenhart, Karen D. Smith, Brad A. Walker
Faced with more distractions than ever, operators need an environment that is conducive for dealing with abnormal, as well as normal, situations. Effective control room design can help.

Use Spreadsheets to Estimate Modeling Parameters

Computational Methods
Tomas B. Co
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.

Avoid Internet Pitfalls

Information Technology
Tim Headley
When developing your website, take these preventative measures to steer clear of any potential lawsuits.

Understand Thermodynamics to Improve Process Simulations

Computational Methods
Fred C. Justice, P.E., David Hill
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.

Integrate Process Simulation and Process Synthesis

Computational Methods
Michael Lynn McGuire, Murugan Selvan, Zainuddin Abdul Manan, Dominic Chwan Yee Foo
The design of a new process using computer simulations to analyze a process flowsheet based on the onion model can save time, effort and, ultimately, money.

Analyzing APC Performance

To reap the most benefit from an advanced process control (APC) system, users need to know how to analyze and monitor the APC's performance.

Produce Reliable Models with Efficient Meshing

Computational Methods
Ed Fontes, Christian Wollblad, Phil Byrne, Henrik von Schenck
Improve your modeling skills to construct accurate, effective meshes that simulate or optimize a process in less time.

Implementing an EHS Management Information System

Information Technology
Jill Barson Gilbert
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.

Design Reactors via CFD

Reactions and Separations
Elizabeth M. Marshall, Andre Bakker, Ahmad H. Haidari
Using computational fluid dynamics to design commercial-size batch and continuous reactors can eliminate subjective experience and empiricism, leading to better-designed, more-efficient units.

Teach Yourself the Basics of Aspen Plus

January, 2011
Aspen Plus is on of the most popular process simulation software programs used industrially and academically. Though the software is available at many corporations and universities, there are no textbooks which are dedicated to teaching the step-by-step use of the software. This book is designed to...

Computer-Aided Modeling of Reactive Systems

March, 2008
Learn to apply modeling and parameter estimation tools and strategies to chemicalprocesses using your personal computer This book introduces readers to powerful parameter estimation and computational methods for modeling complex chemical reactions and reaction processes. It presents useful...

Chemical Reactor Design and Control

August, 2007
Chemical Reactor Design and Control uses process simulators like Matlab, Aspen Plus, and Aspen Dynamics to study the design of chemical reactors and their dynamic control. There are numerous books that focus on steady-state reactor design. There are no books that consider practical control systems...

Distillation Design and Control Using Aspen Simulation

April, 2006
As the world continues to seek new sources of energy, the distillation process remains one of the most important separation methods in the chemical, petroleum, and energy industries. And as new renewable sources of energy and chemical feedstocks become more universally utilized, the issues of...
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