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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Main Authors: | , , , , |
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Format: | text |
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Animo Repository
2019
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Online Access: | 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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Institution: | De La Salle University |
Summary: | 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 |
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