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Novel method for predicting the cracks of oxide scales during high temperature oxidation of metals and alloys by using machine learning
(2025-12-01)
Chawuthai, Rathachai
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Promchan, Teeratat
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Rojsanga, Jularak
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Chandra-ambhorn, Somrerk
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Nilsonthi, Thanasak
Material degradation is one of the main problems in various high-temperature processes, directly resulting in the failure of the material. Crack and protective oxide film spallation caused either by mechanical stress development in the oxidation process or thermal stress due to a mismatch of the thermal expansions of the formed oxide and alloy are common forms of failure in high-temperature processes. Typically, the Pilling-Bedworth ratio (PBR) is employed to predict crack and spallation of the oxide by determining the volume changes of oxide and alloy because of its simplicity. However, this approach provides poor crack and spallation predictions. Hence, machine learning was adopted in the present work to predict oxide formation and spallation in the temperature range of 600-1,200 °C. The inputs for the present developed model were alloy compositions, oxide formed during oxidation, and oxidation conditions and periods. Furthermore, the predicted results of the present developed machine learning model were compared to those obtained by the PBR method. The present results revealed that the accuracy of the oxide spallation prediction of the present model was better than that of the PBR method. The random forest with 15 estimators was the best machine learning model. Finally, it can be concluded that the machine learning model is essential for accurate material failure prediction.
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Comparative CFD modeling of foam and conventional pellet catalysts in glycerol steam reforming
(2025-07-15)
Simasatitkul, Lida
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Phitchayakorn, Chattharika
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Amornraksa, Suksun
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Anantpinijwatna, Amata
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Assabumrungrat, Suttichai
A novel approach to glycerol valorization via steam reforming was investigated through computational fluid dynamics (CFD) modelling. The performance characteristics of conventional pellet catalysts were compared with foam catalysts in a 6-inch diameter packed bed reactor. A two-dimensional pseudo-homogeneous steady-state model was employed to evaluate catalyst configurations ranging from 10 to 30 pores per inch (PPI). The foam catalyst structures exhibited superior performance across key metrics, achieving maximum hydrogen yield (60 %) at one-third of the reactor length whilst reducing pressure drop by 95 % compared to conventional pellets. Within the foam configurations, the 10PPI variant demonstrated optimal performance characteristics, with an 80 % reduction in normalized pressure drop compared to 30PPI, whilst maintaining comparable product yields. The enhanced performance was attributed to the open-cell architecture, which facilitated improved mass transfer and reduced diffusion limitations. These findings suggest that foam catalysts represent a promising alternative to conventional pellet configurations for glycerol steam reforming processes.
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Integration of Genetic Algorithm with Machine Learning for Properties Prediction
(2025-01-01)
Chawuthai, Rathachai
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Murathathunyaluk, Siripan
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Amornratthamrong, Nalin
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Arunchaipong, Run
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Anantpinijwatna, Amata
Numerous studies have demonstrated that machine learning (ML) provides more accurate estimations of properties for oxygenated organic derivatives compared to the conventional Quantitative Structure-Property Relationship (QSPR) method. Consequently, ML’s predictive capabilities have been extended to encompass a broader range of properties, including Partition Coefficient, Boiling Point, and Solubility, among others, for oxygenated hydrocarbon derivatives. Algorithms such as Linear Regression, Support Vector Machine, Random Forest, and Gaussian Process are selected through trial-and-error to identify the most suitable approach. The models are trained and validated using experimental data from published literature. Despite the accuracy of these property predictions, they have limited practical utility in industry, where specific property ranges are essential for processes. To address this, Genetic Algorithms (GA) are employed to design chemical compounds that meet industrial requirements. Integrating GA with ML could yield alternative chemical compounds, enhancing overall production processes by increasing economic potential, sustainability, and reducing environmental impact.
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Process Improvement and Economic and Environmental Evaluation of Bio-Hydrogenated Diesel Production from Refined Bleached Deodorized Palm Oil
(2025-01-01)
Anantpinijwatna, Amata
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Simasatitkul, Lida
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Yooyen, Kanokporn
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Amornraksa, Suksun
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Assabumrungrat, Suttichai
The co-production of BHD with other renewable fuels (i.e., using a novel process involving carbon dioxide utilization to achieve the global sustainability goal) is presented. The three configurations of BHD production from refined bleached deodorized palm oil (RBDPO), including (1) the conventional BHD process with hydrogen recovery (BHD process), (2) the BHD process coupled with the Fischer–Tropsch process (BHD-FT process), and (3) the BHD process coupled with the bio-jet fuel and methanol processes (BHD-BIOJET-MEOH process) are investigated using the process model developed in Aspen Plus. The effect of the operating parameters is studied, and the condition of each process offering the highest BHD yield is proposed. Then, the pinch analysis and heat exchanger network (HEN) design of each proposed process are performed to find the highest energy-efficient configuration. The economic and environmental analysis is later performed to investigate the sustainability performance of each configuration. The conventional BHD process requires less hydrogen and consumes less energy than the others. The BHD-BIOJET-MEOH process is the most economically feasible, offering the highest net present value (NPV) of USD 7.93 million and the shortest payback period of 3 years and 1 month. However, it offers the highest carbon footprint of 0.820 kgCO<inf>2</inf> eq./kg of BHD, and it presented the highest potential environmental impact (PEI) in all categories.
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Overview of biorefinery
(2022-01-01)
Thongchul, Nuttha
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Charoensuppanimit, Pongtorn
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Anantpinijwatna, Amata
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Gani, Rafiqul
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Assabumrungrat, Suttichai
A strong reliance on fossil resources gives rise to a depletion of nonrenewable resources and negative or harmful environmental impacts. Circumvention of this energy-environment nexus has been proposed through the application of the concept of biorefinery. In this concept, biomass, an alternative renewable feedstock containing C-rich chemicals, is utilized as a replacement of the fossil-based feedstock to produce bioenergy and bio-based chemicals. Originally, biorefinery was perceived as a platform of biomass processing, which would produce primarily fuels and chemicals. To date, biorefinery harnesses a variety of sustainable and synergetic technologies that converts biomass into a wide range of profitable products such as food-and-feed for the future, biopharmaceuticals, and nutraceuticals. Due to variability of feedstock and newly emerged technologies, classifications of biorefinery are diverse and depend on the basis (e.g., source of a biomass, the generation of a feedstock, etc.) taken in consideration. A comprehensive view of biorefinery requires the consideration of processing of biomass from different origins via diversified technology platforms. Since the concept of biorefinery also concerns social aspects and location-specific technologies, various aspects of stakeholders including academia, industry, economy, and society need also to be considered. Collaboration among the various actors is facilitated if necessary key information is easily accessible. Therefore, an overview of biorefinery should cover key information related to biorefinery, such as nature of biomass, current situation, available technologies, process design methods, associated tools, and analyses of processing routes along with case studies. In this chapter, the indices representing the key information related to biorefinery are arranged alphabetically and tabulated to enhance a good understanding of the concept of biorefinery.
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Perspectives, challenges and future directions
(2022-01-01)
Thongchul, Nuttha
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Charoensuppanimit, Pongtorn
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Anantpinijwatna, Amata
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Gani, Rafiqul
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Assabumrungrat, Suttichai
As discussed extensively in this book, biorefinery is perceived as a promising platform for the sustainable conversion of biomass into a variety of value-added products. As a result of attempts to replace a nonrenewable feedstock with renewable biomass, the technological advances in biorefineries have been immense in recent years. However, the commercialization of biorefineries currently face challenges from various directions, such as the availability of feedstock, the competitiveness of bio-based products, the processing technologies and unit operations, as well as methods and associated computer-aided tools for the synthesis and design of biorefinery processes. To facilitate readers’ insight, crucial elements are summarized in this chapter for each issue in terms of the current situation, the challenges, and the anticipated future developments.
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Complete design case study for pulp and paper industry
(2022-01-01)
Anantpinijwatna, Amata
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Charoensuppanimit, Pongtorn
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Mongkhonsiri, Ghochapon
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Gani, Rafiqul
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Assabumrungrat, Suttichai
Pulp and paper industry is a traditional biorefinery system that produces low margin paper products at low innovation development. It needs business transformation to enhance profitability along with efficient material and energy consumption through process development of high-value bioproducts. In response to climate change concerns and declining petroleum resources, the concept of biorefinery has developed using biochemical and thermochemical technologies. To develop biorefinery together with the conventional pulp and paper industry, integrated biorefinery in the existing pulp mill has been designed as a long-term sustainable solution. A systematic framework is needed to synthesize and design promising integrated systems from numerous alternatives. A three-level methodology, involving Level-1 Base Case Design, Level-2 Optimization and Analysis, and Level-3 Innovation, is proposed as an effective approach to determine optimal technologies suitable for the transformation of the traditional system through superstructure optimization, process analysis, and process improvement in terms of economic and environmental issues. To achieve a sustainable development of the integrated biorefinery system, innovative alternatives are discovered to satisfy improvement targets. Computer-aided tools are employed to support systematic data collection, mathematical model formulation, and complicated problem solving. Case studies of synthesis, design and innovation tasks illustrating the application of the framework to obtain promising integrated pulp mill-biorefinery alternatives are presented.
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Techno-economic analysis of co-production of bio-hydrogenated diesel from palm oil and methanol
(2021-09-15)
Phichitsurathaworn, Nitipat
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Simasatitkul, Lida
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Amornraksa, Suksun
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Anantpinijwatna, Amata
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Charoensuppanimit, Pongtorn
A bio-hydrogenated diesel (BHD) or green diesel is produced from refined bleached deodorized palm oil (RBDPO) via a heterogeneous catalytic reaction which requires high hydrogen to oil volumetric ratio for a complete conversion of oil. In this regard, a hydrogen recovery process is required to reduce a high amount of hydrogen loss in a gas by-product. This work proposes coupling the conventional BHD process with a production of methanol, a valuable co-product, and performs its techno-economic evaluation in comparison with the stand-alone BHD process. The results showed that the BHD process coupled with the methanol synthesis can recover by 46.3% of discharged hydrogen and reduce 14% of carbon dioxide and carbon monoxide emissions from the production process. Furthermore, methanol synthesis could improve the internal rate of return (IRR) by 23.2%, shorten the payback period by 2.81 years, and increase the net present value (NPV) by 54.41 million USD relative to the BHD process. Finally, environment potential impact of both processes are analyzed. The most significant on the environment is hydro-processing stage and both processes provide same environmental results.
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Water influence on the kinetics of transesterification using CaO catalyst to produce biodiesel
(2021-07-15)
Anantapinitwatna, Ajala
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Ngaosuwan, Kanokwan
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Kiatkittipong, Worapon
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Wongsawaeng, Doonyapong
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Anantpinijwatna, Amata
This research investigated the water influence on biodiesel production via transesterification, and especially on their kinetic parameters. The initial rate of transesterification was increased with increasing amount of water (0–5 wt%). On the contrary, the initial rate was significantly reduced for the water concentration of 8–15 wt%. Moreover, when the biodiesel yield reached the maximum value of 30–40%, saponification as a side reaction became more significant with the presence of the emulsion phase, resulting in a remarkable decrease in biodiesel yield. The simple kinetic model including the rate constant and apparent activation energy revealed that transesterification containing 5 wt% water gave the higher rate constant compared to the case with the absence of water. However, the simple model could not describe the case with high water content. The water effect should be accounted for in the reaction rate in the adsorption term. The modified Langmuir-Hinshelwood kinetic model including the effects of water contamination was originally proposed. Our finding suggested that despite the small amount of water content in transesterification using CaO catalyst giving rise in the initial rate, the water contamination in feedstocks for biodiesel production should be avoided because of the notable presence of saponification.
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Novel biorefinery-Integrated-Kraft-pulping network for sustainable development
(2021-06-01)
Mongkhonsiri, Ghochapon
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Anantpinijwatna, Amata
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Charoensuppanimit, Pongtorn
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Arpornwichanop, Amornchai
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Gani, Rafiqul
Integration of the biorefinery concept to the existing Kraft-pulping process is undertaken to achieve a more sustainable development. This paper aims at developing a novel biorefinery-integrated-Kraft-pulping network with improved profitability, energy self-sufficiency and minimum CO<inf>2</inf> emission by employing technologies consisting of biofuel and biochemical productions, biomass gasification together with CO<inf>2</inf> capture and utilization. Three scenarios, including (I) the production of gasification-based dimethyl ether (DME); (II) the co-production of DME and succinic acid; and (III) the co-production of DME and succinic acid coupled with the CO<inf>2</inf> utilization, have been investigated. Among all scenarios, Scenario II exhibits the best economic performances as highlighted by the 74% increase of profit compared to the conventional process. Scenario III achieves the highest energy efficiency at 39% and an improved environmental performance due to the 65% reduction of CO<inf>2</inf> emission compared to the conventional process with only 0.7% profit reduction. Comparing to the biorefinery-integrated-Soda-pulping networks proposed by the previous work, the biorefinery-integrated-Kraft-pulping networks show higher performance on both economic and environmental improvements. Thereby confirming that the integration of the biorefinery network can improve the sustainability and enhance the economic benefit of the Kraft-pulping process beyond the conventional process.

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