Computing and Systems Engineering

Use Spreadsheets to Estimate Modeling Parameters

February
2008
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

April
2003
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

December
2011
Computational Methods
David Hill, Fred C. Justice, P.E.
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

October
2005
Computational Methods
Dominic Chwan Yee Foo, Michael Lynn McGuire, Murugan Selvan, Zainuddin Abdul Manan
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

August
2002
Instrumentation
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

August
2010
Computational Methods
Christian Wollblad, Ed Fontes, Henrik von Schenck, Phil Byrne
Improve your modeling skills to construct accurate, effective meshes that simulate or optimize a process in less time.

Implementing an EHS Management Information System

May
2004
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

December
2001
Reactions and Separations
Ahmad H. Haidari, Andre Bakker, Elizabeth M. Marshall
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.

Simulating Aqueous Processes

September
2003
Reactions and Separations
Joel B. Christian
Simulation that includes aqueous modeling can also account for full vapor/liquid/solid equilibria modeling, including redox chemistry.

Uncovering the Realities of Simulation

May
2001
Computational Methods
Andrew  Vieler, Marco S. Satyr, Oscar  Santollani , Rajeev  Agarwal, Yau-Kun Li
Running sophisticated process simulations does not guarantee correct results. You need to understand the thermodynamic assumptions underlying the program and how to ensure proper applications.

Computational Science: Enabling Technology Development

January
2011
On The Horizon
Anthony Cugini, Chris Guenther, Jinghai Li, Madhava Syamlal, Ning Yang, Wei Ge, Wei Wang
Computational science will play a key role in accelerating technology development and in the realization of virtual process engineering.

Dynamic Capacity Modeling of Product Development

July
2004
Information Technology
Brian E. Hartman, Jospeh S. Alford Jr., Prashant B. Kokitkar
Avoid large work queues by proactively anticipating the resource needs of your company using dynamic capacity models.

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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