Process Synthesis by the P-Graph Framework Involving Sustainability

Bertok, Botond; Heckl, István

doi:10.1016/b978-0-12-802032-6.00009-8

Cited by 4 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…P-graphs are bipartite graphs, each comprising nodes for a set of materials (M-type), a set of operating units (O-type), and arcs linking them [29]. M-type nodes can be further divided into raw material, intermediate material, and product material nodes.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Pathways for Nitric Acid Synthesis Using P-Graph Attainable Region Technique (PART)

Sitoh,

Tan,

Tapia

et al. 2023

Processes

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 99%

“…In P-graph Studio is used here to implement the MSG, SSG, and ABB algorithms [20]. In this study, the optimal solution structure will be generated with the ABB algorithm using the procedure adapted from Bertok and Heckl [29] and Tapia et al [31].…”

Section: Methodsmentioning

confidence: 99%

Optimal Pathways for Nitric Acid Synthesis Using P-Graph Attainable Region Technique (PART)

Sitoh,

Tan,

Tapia

et al. 2023

Processes

View full text Add to dashboard Cite

show abstract

“…Process network synthesis involves an algorithm to be followed in other problemsolving operations (Friedler et al, 1992). In solving the process network synthesis efficiently and rigorously, the P-graph framework provides a mathematical approach for solving process synthesis problems and analyzing the resultant flowsheets with the aid of the builtin optimizer (Bertok & Heckl, 2016). The P-graph includes selecting and sizing processing chemical plant predefined parameters such as raw material, operating unit, and conversion rate (Cabezas et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

JST

View full text Add to dashboard Cite

Sugarcane bagasse is a commonly generated item from the food industry in the worldthe amount of sugarcane bagasse production is increasing yearly. In 2017, the reported sugarcane production in Malaysia was 30,000 kg, which resulted in 9,800 kg of sugarcane bagasse. Sugarcane bagasse produces steam as waste management in Malaysia or simply in landfills. This study aims to optimize sugarcane bagasse conversion technologies using process network synthesis. A superstructure of sugarcane bagasse was created via P-Graph, with multiple pathways or processes being considered. Data needed for the sustainability assessment of each pathway was acquired from various journal sources, including conversion fraction, operating and capital cost, greenhouse gas emission, and the selling price of products were implemented into the superstructure. Then, the data from the feasible structure generated would be analyzed using machine learning via Waikato Environment for Knowledge Analysis software. The data sets were analyzed using this software using the selected algorithm as P-graph developed 17 feasible solution structures. All 17 generated solution structures were analyzed using six different classifier algorithms. The multilayer perceptron algorithm had the best and the least error in classifying the data. Hence, the multilayer perceptron algorithm proved that the correlation between products produced from sugarcane bagasse and the profitability of the process was significant. Therefore, the model can be a basis for determining the best process for sugarcane bagasse conversion technologies.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimization of Sugarcane Bagasse Conversion Technologies Using Process Network Synthesis Coupled with Machine Learning

Emparie Tujah,

Ali,

Nik Ibrahim

2023

JST

View full text Add to dashboard Cite

Sugarcane bagasse is a commonly generated item from the food industry in the world—the amount of sugarcane bagasse production is increasing yearly. In 2017, the reported sugarcane production in Malaysia was 30,000 kg, which resulted in 9,800 kg of sugarcane bagasse. Sugarcane bagasse produces steam as waste management in Malaysia or simply in landfills. This study aims to optimize sugarcane bagasse conversion technologies using process network synthesis. A superstructure of sugarcane bagasse was created via P-Graph, with multiple pathways or processes being considered. Data needed for the sustainability assessment of each pathway was acquired from various journal sources, including conversion fraction, operating and capital cost, greenhouse gas emission, and the selling price of products were implemented into the superstructure. Then, the data from the feasible structure generated would be analyzed using machine learning via Waikato Environment for Knowledge Analysis software. The data sets were analyzed using this software using the selected algorithm as P-graph developed 17 feasible solution structures. All 17 generated solution structures were analyzed using six different classifier algorithms. The multilayer perceptron algorithm had the best and the least error in classifying the data. Hence, the multilayer perceptron algorithm proved that the correlation between products produced from sugarcane bagasse and the profitability of the process was significant. Therefore, the model can be a basis for determining the best process for sugarcane bagasse conversion technologies.

show abstract

Process Synthesis by the P-Graph Framework Involving Sustainability

Cited by 4 publications

References 19 publications

Optimal Pathways for Nitric Acid Synthesis Using P-Graph Attainable Region Technique (PART)

Optimal Pathways for Nitric Acid Synthesis Using P-Graph Attainable Region Technique (PART)

Untitled

Optimization of Sugarcane Bagasse Conversion Technologies Using Process Network Synthesis Coupled with Machine Learning

Contact Info

Product

Resources

About