LAPSE:2024.0137
Published Article
LAPSE:2024.0137
Optimal Pathways for Nitric Acid Synthesis Using P-Graph Attainable Region Technique (PART)
Yiann Sitoh, Viggy Wee Gee Tan, John Frederick D. Tapia, Raymond R. Tan, Dominic C. Y. Foo
January 12, 2024
Developing a chemical reaction network is considered the first and most crucial step of process synthesis. Many methods have been employed for process synthesis, such as the attainable region (AR) theory. AR states that a region of all possible configurations can be defined with all the potential products and reactants. The second method is process network synthesis (PNS), a technique used to optimise a flowsheet based on the feasible materials and energy flow. P-graph is an algorithmic framework for PNS problems. P-graph attainable region technique (PART) is introduced here as an integration of both AR and P-graph to generate optimal reaction pathways for a given process. A descriptive AR plot is also developed to represent all the possible solution structures or reaction pathways. A case study of a conventional nitric acid synthesis process was used to demonstrate this technique.
Keywords
attainable region, chemical reaction network, nitric acid synthesis, P-graph, process network synthesis
Subject
Suggested Citation
Sitoh Y, Tan VWG, Tapia JFD, Tan RR, Foo DCY. Optimal Pathways for Nitric Acid Synthesis Using P-Graph Attainable Region Technique (PART). (2024). LAPSE:2024.0137
Author Affiliations
Sitoh Y: Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Broga Road, Semenyih 43500, Malaysia
Tan VWG: Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Broga Road, Semenyih 43500, Malaysia
Tapia JFD: Department of Chemical Engineering, De La Salle University, 2401 Taft Avenue, Malate, Manila 0922, Philippines [ORCID]
Tan RR: Department of Chemical Engineering, De La Salle University, 2401 Taft Avenue, Malate, Manila 0922, Philippines [ORCID]
Foo DCY: Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Broga Road, Semenyih 43500, Malaysia [ORCID]
Journal Name
Processes
Volume
11
Issue
9
First Page
2684
Year
2023
Publication Date
2023-09-07
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11092684, Publication Type: Journal Article
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LAPSE:2024.0137
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doi:10.3390/pr11092684
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Jan 12, 2024
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CC BY 4.0
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[v1] (Original Submission)
Jan 12, 2024
 
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Jan 12, 2024
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https://psecommunity.org/LAPSE:2024.0137
 
Original Submitter
Calvin Tsay
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