Process network synthesis: Difference between revisions

Revision as of 12:19, 4 May 2016

Revision as of 14:33, 8 September 2017

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==Applications==

At [[Pannon University]] software the tools PNS Editor and PNS Studio were programmed to generate maximum structure of processes. This software includes the p-graph method and MSG, SSG and ABB [[branch and bound]] algorithms to detect optimum structures within the maximum available process flows.<ref>{{cite journal|last1=Friedler|first1=F.|last2=Varga|first2=J.B.|last3=Feher|first3=E.|last4=Fan|first4=L.T.|title=Combinatorially Accelerated Branch-and-Bound Method for Solving the MIP Model of Process Network Synthesis|journal=Computational Methods and Applications|date=1996|volume=7|pages=609-626|doi=10.1007/978-1-4613-3437-8_35|url=httphttps://link.springer.com/chapter/10.1007%2F978-1-4613-3437-8_35}}</ref>

PNS is used in different applications where it can be used to find optimum process structures like:

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* Optimum energy technology networks for regional and urban energy systems: In case of regional and urban energy planning the financially most feasible solution for resource systems is selected as target value. With this setting material- and energy flows, energy demand and cost of technologies are considered and the optimum technology network can be found. Simultaneously the robustness of technologies due to price changes and limitations in resource availability can be identified.<ref>{{cite journal|last1=Narodoslawsky|first1=M.|last2=Niederl|first2=A.|last3=Halasz|first3=L.|title=Utilising renewable resources economically: new challenges and chances for process development|journal=Journal of Cleaner Production|date=2008|volume=16|issue=2|pages=164-170|doi=10.1016/j.jclepro.2006.08.023|url=http://www.sciencedirect.com/science/article/pii/S0959652606003349}}</ref><ref>{{cite journal|last1=Niemetz|first1=N.|last2=Kettl|first2=K.H.|last3=Eder|first3=M.|last4=Narodoslawsky|first4=M.|title=RegiOpt Conceptual Planner - Identifying possible energy network solutions for regions|journal=Chemical Engineering Transactions|date=2012|volume=29|doi=10.3303/CET1229087|url=http://www.aidic.it/cet/12/29/087.pdf}}</ref><ref>{{cite journal|last1=Lam|first1=H.L.|last2=Varbanov|first2=P.|last3=Klemeš|first3=J.|title=Regional Renewable Energy and Resource Planning|journal=Applied Energy|date=2011|volume=88|issue=2|pages=545-550|doi=10.1016/j.apenergy.2010.05.019|url=http://www.sciencedirect.com/science/article/pii/S0306261910002047}}</ref><ref>{{cite journal|last1=Maier|first1=S.|last2=Narodoslawsky|first2=M.|title=Optimal Renewable Energy Systems for Smart Cities|journal=Computer Aided Chemical Engineering|volume=33|pages=1849-1854|doi=10.1016/B978-0-444-63455-9.50143-4|url=http://www.sciencedirect.com/science/article/pii/B9780444634559501434}}</ref>

* Evacuation routes in buildings: The aim is to find optimal routes to evacuate buildings depending on specific side parameters.<ref>{{cite journal|last1=Garcia-Ojeda|first1=J.C.|last2=Bertok|first2=B.|last3=Friedler|first3=F.|title=Planning Evacuation Routes with the P-graph Framework|journal=Chemical Engineering Transactions|date=2012|volume=29|doi=10.3303/CET1229256|url=http://www.aidic.it/cet/12/29/256.pdf}}</ref>

* Transportation routes: In this research area transportation routes with minimum cost and lowest environmental impact can be identified.<ref>{{cite journal|last1=Barany|first1=M.|last2=Botond|first2=B.|last3=Kovacs|first3=Z.|last4=Friedler|first4=F.|title=Solving vehicle assignment problems by process-network synthesis to minimize cost and environmental impact of transportation|journal=Clean Technologies and Environmental Policy|date=2011|volume=13|doi=10.1007/s10098-011-0348-2|url=httphttps://dx.doi.org/10.1007/s10098-011-0348-2}}</ref>

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