Computing and Systems Engineering

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.

Uncovering the Realities of Simulation, Part 2

June
2001
Computational Methods
Andrew  Vieler, Marco S. Satyro, Rajeev  Agarwal, Yau-Kun Li,  Oscar  Santollani
Simulation software is a commonly used design tool, thanks mainly to its availability on the desktop. However, one has to understand thermodynamic basics before accepting the desktop's final answer.

Understand Temperature Change in Process Stream Mixing

September
2006
Heat Transfer
Anil K. Mehrotra, Dharmendra Tiwary
The isobaric and adiabatic mixing of process streams can yield an outlet stream temperature that is either in between, higher than, or lower than the inlet stream temperatures. This article uses simulation to explore temperature-change scenarios in...

Can We Believe the Simulation Results?

October
2002
Reactions and Separations
Henry Z. Kister
Be careful of these key issues that may generate differences between a distillation-tower simulation and its actual performance. Simulations do not always square with nuts-and-bolts reality.

Correlate Data Effectively

February
2011
Computational Methods
Faruk Civan
Follow these nine simple rules to avoid common pitfalls and get better results.

Integrate EHS for Better Process Design

February
2002
Process Development
Lisa Bendixen
Get a jump on process development by addressing environmental, health and safety (EHS) issues together early in the design and development cycle. The result will be a better process and lower costs.

Realizing the Promise of Wireless

May
2009
Instrumentation
Bob Karschnia, Peter Zornio
Innovation drives the growth of wireless technology, as successful applications demonstrate cost savings, reliability, safety, and ease of use.

Profiting From Your Pumping System

September
2003
Fluids and Solids Handling
Aimee McKane  , Vestal Tutterow,  Don Casada
Identify ways to minimize the lifecycle costs of your pumping system

Validate Your Engineering Software!

July
2001
Instrumentation
Michael  Tanzio
You really can't guarantee that applications work correctly unless you take specific steps to validate the software.

Efficient Technology Evaluation

February
2007
Critical Issues
Francesco Citro, Reuel Shinnar
To stay competitive in today's economic climate, rapid and effective assessments of new technologies is a must. Requiring a minimal amount of data, this powerful method can effectively evaluate new ideas and research programs at an early stage...

Implementing an IACS Patch-Management Program

May
2011
Information Technology
Kevin Staggs
Maintain state of the art industrial automation and control systems (IACS) by using these steps to support an effective patch management program and implement it with minimum risk.

Understand Flow Patterns in Glass-Lined Reactors

November
2004
Reactions and Separations
Christopher J. Ramsey, David S. Dickey, Keith E. Johnson , Kevin J. Bittorf
Physical modeling and computer simulation provide insights into the performance of a glass-lined reactor.

Step into the Virtual Plant

February
2002
Instrumentation
Gregory K McMillan, Mark S Sowell III, Michael M Mansy
The ability to warehouse process and control system knowledge offers a vast potential for improved operations by sharing a common source of information and avoiding data duplication.

Efficiently Solve Complex Calculations

October
2003
Information Technology
Mordechai Shacham, Neima Brauner ,  Michael B. Cutlip
Reduce the chances of computational errors by following this technique, which combines the use of a standard spreadsheet with a numerical software package.

Integrate Compressor Performance Maps into Process Simulation

June
2011
Computational Methods
Grant Stephenson
Transforming the performance maps to a reduced coordinate system that is independent of suction conditions and rotational speeds allows these curves to be accurately incorporated into a process simulator.

Realize Greater Benefits from CFD

March
2001
Fluids and Solids Handling
Ahmad H. Haidari, Andre  Bakker,  Lanre M. Oshinowo
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.

Modeling Production-Chain Information

February
2005
Information Technology
Jeffrey D. Kelly
Data alone is not information. Use this model to transform data into vital information for decision making.

Simplify Experimental Design

January
2010
Computational Methods
Joseph F. Louvar
Save time and money by using this approach to fractional-factorial design of experiments (DOE) for studies involving six or seven variables. <br>

Matching Your Process Constraints Using Dynamic Simulation

December
2003
Information Technology
Iban Grau, Jose J. Macias-Hernandez, Miquel A. Alos
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

June
2007
Fluids and Solids Handling
David Connolly, Saeid Mokhatab, 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

February
2003
Heat Transfer
Brad Buecker
An effective monitoring program can extend equipment life, improve operations, and yield substantial energy savings.

Easily Assess Complex Safety Loops

March
2001
Instrumentation
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

January
2004
Information Technology
Jeffrey D. Kelly
Optimize petroleum and petrochemical plant production by understanding the mathematical modeling behind nonlinear planning models.

Optimize Control Room Communications

October
2001
Instrumentation
Brad A. Walker, James E. Lenhart, Karen D. Smith
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

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.

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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