Prospects and challenges for chemical process synthesis with P-graph
P-graph framework was developed to solve Process Network Synthesis (PNS) problems in plant design. It provides a powerful engineering toolbox based on the constituent Maximal Structure Generation (MSG), Solution Structure Generation (SSG) and Accelerated Branch-and-Bound (ABB) algorithms. During the...
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oai:animorepository.dlsu.edu.ph:faculty_research-45752021-09-16T08:17:42Z Prospects and challenges for chemical process synthesis with P-graph Friedler, Ferenc Aviso, Kathleen B. Bertok, Botond Foo, Dominic CY Tan, Raymond Girard R. P-graph framework was developed to solve Process Network Synthesis (PNS) problems in plant design. It provides a powerful engineering toolbox based on the constituent Maximal Structure Generation (MSG), Solution Structure Generation (SSG) and Accelerated Branch-and-Bound (ABB) algorithms. During the four decades of its development, the P-graph framework has proven to be capable of solving various engineering applications framed as PNS problems. This review paper gives a survey of the development of the P-graph framework, with emphasis on its enhancements and the diversification of applications in process engineering. Research gaps and promising directions for P-graph research are then discussed. © 2019 Elsevier Ltd The 2019-12-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/3573 info:doi/10.1016/j.coche.2019.08.007 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4575/type/native/viewcontent/j.coche.2019.08.007 Faculty Research Work Animo Repository Chemical processes Production engineering Plant layout Chemical Engineering |
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Chemical processes Production engineering Plant layout Chemical Engineering Friedler, Ferenc Aviso, Kathleen B. Bertok, Botond Foo, Dominic CY Tan, Raymond Girard R. Prospects and challenges for chemical process synthesis with P-graph |
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P-graph framework was developed to solve Process Network Synthesis (PNS) problems in plant design. It provides a powerful engineering toolbox based on the constituent Maximal Structure Generation (MSG), Solution Structure Generation (SSG) and Accelerated Branch-and-Bound (ABB) algorithms. During the four decades of its development, the P-graph framework has proven to be capable of solving various engineering applications framed as PNS problems. This review paper gives a survey of the development of the P-graph framework, with emphasis on its enhancements and the diversification of applications in process engineering. Research gaps and promising directions for P-graph research are then discussed. © 2019 Elsevier Ltd The |
format |
text |
author |
Friedler, Ferenc Aviso, Kathleen B. Bertok, Botond Foo, Dominic CY Tan, Raymond Girard R. |
author_facet |
Friedler, Ferenc Aviso, Kathleen B. Bertok, Botond Foo, Dominic CY Tan, Raymond Girard R. |
author_sort |
Friedler, Ferenc |
title |
Prospects and challenges for chemical process synthesis with P-graph |
title_short |
Prospects and challenges for chemical process synthesis with P-graph |
title_full |
Prospects and challenges for chemical process synthesis with P-graph |
title_fullStr |
Prospects and challenges for chemical process synthesis with P-graph |
title_full_unstemmed |
Prospects and challenges for chemical process synthesis with P-graph |
title_sort |
prospects and challenges for chemical process synthesis with p-graph |
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Animo Repository |
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2019 |
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https://animorepository.dlsu.edu.ph/faculty_research/3573 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4575/type/native/viewcontent/j.coche.2019.08.007 |
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