Change search
ReferencesLink to record
Permanent link

Direct link
Computational User Support Tool for Decision Making Processes
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Electrical Power Engineering.
2013 (English)MasteroppgaveStudent thesis
Abstract [en]

A computational tool to perform calculations for the Decision-Support Problem (DSP) Technique is developed to aid decision-makers in evaluating technologies suited for design problems. The DSP Technique is presented in a step-by-step manner and an object-oriented analysis is performed to convert the steps of the DSP Technique to a computer system. The object-oriented analysis uses Unified Modeling Language (UML) to identify and visualize the system structure. From the object-oriented analysis, the DSP computational tool is developed in C++. A prototype user interface is created in Objective-C as an application for iPhone on the iOS platform to guide the user through the steps of the DSP Technique. The program is tested in two selected cases. The first case is the selection of a cryogenic separation process for CO2 removal from a natural gas field initially containing 30 mol% CO2. The Controlled Freeze Zone process is selected as the most suited process after performing the DSP Technique to evaluate the available solutions. In the second case, the DSP Technique is performed to evaluate solutions for a liquefaction process for an offshore production vessel for LNG (Liquefied Natural Gas) production. The results from the computational tool does not provide a clear solution for the most suited liquefaction process, due to small differences in merits between the feasible alternatives. From testing the computational tool for the selected cases, it is concluded that, by letting a computer perform calculations for the DSP Technique, the method becomes more efficient and less time consuming. The program performs as expected and provides the user with correct results from the input given.

Place, publisher, year, edition, pages
Institutt for energi- og prosessteknikk , 2013. , 133 p.
URN: urn:nbn:no:ntnu:diva-22659Local ID: ntnudaim:10061OAI: diva2:651209
Available from: 2013-09-24 Created: 2013-09-24 Last updated: 2013-09-24Bibliographically approved

Open Access in DiVA

fulltext(2776 kB)307 downloads
File information
File name FULLTEXT01.pdfFile size 2776 kBChecksum SHA-512
Type fulltextMimetype application/pdf
cover(184 kB)29 downloads
File information
File name COVER01.pdfFile size 184 kBChecksum SHA-512
Type coverMimetype application/pdf

By organisation
Department of Electrical Power Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 307 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 83 hits
ReferencesLink to record
Permanent link

Direct link