Anantpinijwatna, Amata

Preferred name

Alternative Name

Anantpinijwatna, A.

Main Affiliation

School of Engineering

amata.an@kmitl.ac.th

Now showing 1 - 8 of 8

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Modeling of Non-Isothermal Adsorption Process in a Silica Gel Desiccant Packed Bed
(2018-01-01)
Murathatunyaluk, Siripan
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Srichanvichit, Koranut
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Anantpinijwatna, Amata
;
Kitchaiya, Prakob
This study investigated a numerical simulation of a column packed bed using silica gel. This bed is either stationary or steadily rotating, leading to different operation-regeneration schemes. Although models of these systems have already been developed and fitted with available data, they require large number of costly and time-consuming experiment to be applicable. Therefore, the development of a fundamental predictive mathematical model is necessary. The present model is a one-dimensional numerical solution of the conservation equations for heat, water vapor, and adsorbed water inside the silica gel desiccant under the constraint of local equilibrium between the two phases, which is characterized by fundamental sorption isotherms. The system of a non-isothermal adiabatic under constant pressure containing heat and mass transfer phenomena between vapor and solid phases are considered. The numerical results show good agreement with a maximum root of mean square of errors of 6.6% and 9.6% for exit air temperature and humidity, respectively
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Complete design case study for pulp and paper industry
(2022-01-01)
Anantpinijwatna, Amata
;
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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Coke Formation Model in Crude Oil Furnace for Maintenance Scheduling
(2018-01-01)
Anantpinijwatna, Amata
A crude oil distillation unit (CDU) is one of the most important unit in petroleum industry. Its main function is to separate the crude oil into many kinds of petroleum products. Generally, the CDU's design includes the crude oil preheater, which are either cabin or vertical cylindrical furnace, for adjusting the crude feed properties and increasing feed temperature. Carbon coking inside the furnace during the preheating process leads to accumulating of the coke, deteriorating of the product quality, increasing of the pressure drop across the furnace, and increasing of the energy consumption. The de-coking process is normally executed on demand based on the measured heat loss or performed every fixed period of time. However, due to the different rate of coke formation of various crude oil grades, as well as the difference in cost of product, process operation, and maintenance operation; both on-demand and fixed maintenance practices are not optimal method for de-coking. Model of the coking rate and accumulation inside of the furnace could be a useful tool for scheduling the decoking. The model includes the balance equations for the heat generated, the heat transfer in forms of convection and radiation, the changes of the temperature and the amount of crude oil and coke, the constitutive equations for the coke formation and accumulation, and the conditional equations for optimization of the de-coking schedule. The model parameters are fitted to the data provided by the refinery in Thailand with absolute average deviation below 3%; the operation and maintenance costs are also estimated from the financial activity report of the similar sources. It is found that with different sources of crude oil, the optimal furnace maintenance schedules are different. The improvements, in term of cost per maintenance, are found to be 15 - 34% depending on the operation scenario. Although, the initial results look promising and the initial goal is accomplished, the application of the model toward multiple crude oil feed for better operation is under development.
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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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Process model validation and analysis for intensification of an industrial scale process
(2019-01-01)
Chinda, Renata
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Ponsatorn, Rotjana
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Anantpinijwatna, A.
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Pessoa, Fernando P.
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Woodley, John M.
Adopting reliable process models is one of the main requisites for wide spread use of process models in industry for design, control, operation and troubleshooting purposes. Validating a model against operational conditions is a plausible way to guarantee assurance and reproducibility of model outputs. Economic and sustainability analysis together with process intensification (PI) can provide feasible solutions for industrial hot-spot identification and removal. In this work, an industrial scale urea plant was modelled and simulated in a commercial process simulator. More than thirty different industrial process parameters were statistically analysed and used to perform the model validation. Economic and sustainability analyses were performed and the main hot-spots were identified. Process intensification at phenomena-level was employed to obtain more sustainable intensified process flowsheets. The results show that economic and environmental factors can be improved to reliable extent since the process model is closely replicating the reality in the base case and it fits well with industrial data.
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Novel method for properties prediction of pure organic compounds using machine learning
(2021-01-01)
Chorbngam, Nattasinee
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Chawuthai, Rathachai
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Anantpinijwatna, Amata
In classical thermodynamic, the estimation method of pure compounds properties was based on Newtonian physics, which required experimental data. It is proven to be inadequate for the growing demand of the novel chemical synthesis. There were several studies on the prediction of the pure compound properties based on QSPR methods. However, the conventional group-contribution based methods predictive capability was limited by the available measured data. Therefore, this study aims to approach the property prediction with a novel statistical-based method. The proposed method is derived using supervised machine learning algorithms. The experimental data used to train and validate the models were collected from the published literature. These data set are composed of the alkanes, alkenes, and alkynes derivatives containing 1-12 carbon atoms. The results show the improved accuracy of the model prediction compare to the conventional method in terms of root mean square error (RMSE) and mean absolute percentage error (MAPE).
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Development of sustainable integrated biorefinery networks in pulp and paper industries
(2021-01-01)
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
With the objective to obtain more sustainable production processes, the biorefinery network is integrated with traditional pulp and paper industries. A systematic framework with computer-aided tools consisting of synthesis, design and innovation stages has been applied to determine the biorefinery-integrated pulping process. An integrated network of succinic acid production and black liquor gasification for dimethyl ether (DME) production linked to an existing Soda pulping process is identified as the best option for increased profit, which also reduces pollutant emissions through integration of innovative CO<inf>2</inf> capture and utilization (CCU) steps to form the biorefinery-integrated-Soda-pulping network (BIS). This paper aims at also designing a sustainable biorefinery-integrated-Kraft-pulping network (BIK). Three integration scenarios are considered for further study: (I) the production of gasification-based dimethyl ether (DME); (II) the coproduction of DME and succinic acid (SA); and (III) the co-production of DME and SA coupled with CCU. The best scenario is found to be Scenario II, which exhibits the best economic performance with 74% increase in profit compared to the conventional process. Scenario III achieves the highest energy efficiency at 39% and improved environmental performance, a 65% reduction of CO<inf>2</inf> emission compared to the conventional process, with only 0.7% profit reduction. The BIK option shows improved performance in terms of economic and environmental improvements compared to the BIS network, confirming that the integrated biorefinery network can transform the conventional Kraft pulping process to a more sustainable process with increased profit.
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Overview of biorefinery
(2022-01-01)
Thongchul, Nuttha
;
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.

Anantpinijwatna, Amata

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