Process Network Design and Optimisation Using P-graph: The Success, the Challenges and Potential Roadmap
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F17%3APU127113" target="_blank" >RIV/00216305:26210/17:PU127113 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3303/CET1761256" target="_blank" >http://dx.doi.org/10.3303/CET1761256</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3303/CET1761256" target="_blank" >10.3303/CET1761256</a>
Alternative languages
Result language
angličtina
Original language name
Process Network Design and Optimisation Using P-graph: The Success, the Challenges and Potential Roadmap
Original language description
The P-graph framework is a combinatorial approach to synthesising and optimising process networks. It is very efficient in handling problems with high combinatorial complexity and has shown great superiority in reducing the related computational burden. Over the years, it has proven its efficiency in solving topologically and combinatorically challenging problems. Many successful applications to scientific and real-life problems have been produced, demonstrating the benefit potential. The application areas range from the initial chemical process synthesis to identifying the mechanisms of chemical and biochemical reactions, supply chains optimisation, regional resource planning, crisis management, evacuation planning and business process modelling. There have been tools of several generations implementing the P-graph framework, with a simple user interface, but featuring serious data input requirement. The P-graph framework also allows sensitivity analysis and produces usually a set of recommended solutions as opposed to the usual single output from straight applications of MP. The current contribution makes a critical overview of the achievements from applying the P-graph framework and the main issues to be dealt with. Based on that, a set of recommendations is made on the necessary future development of the implementations regarding modelling capability, data and algorithmic interfaces, representation of the modelled networks, as well as complexity management.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20402 - Chemical process engineering
Result continuities
Project
<a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Chemical Engineering: General Chemical Engineering
ISBN
978-88-95608-51-8
ISSN
1974-9791
e-ISSN
—
Number of pages
6
Pages from-to
1549-1554
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Tianjin
Event date
Aug 21, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—