Anantpinijwatna, Amata

Preferred name

Alternative Name

Anantpinijwatna, A.

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School of Engineering

amata.an@kmitl.ac.th

Now showing 1 - 10 of 12

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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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Novel Soft Sensor for Measuring and Controlling Product Recovery in a High-Purity, Multicomponent, Side-Draw Distillation Column
(2019-10-30)
A. Udugama, Isuru
;
Alvarez Camps, Martina
;
Taube, Michael A.
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Thawita, Chatchayarat
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Anantpinijwatna, Amata
The use of soft sensors for monitoring purposes is an established practice in the process industry. In this study, the focus has been on developing a soft sensor that can be used to monitor the product recovery rate of double-ended, high-purity distillation columns with a side-draw. To this end, this study specifically focuses on developing a cost-effective and accurate soft sensor for an industrial methanol distillation unit where a side-draw is used to meet the parts per million level impurity specifications. The novel soft sensor is based on the unique characteristics of the mass balance in this type of column, and uses the density measurement at the side-draw together with the flow rates of the side-draw and product draw to calculate the product recovery rate. The developed soft sensor was validated against real plant data as well as on a process simulation of an industrial methanol distillation column. The soft sensor demonstrated the ability to predict product recovery to an accuracy of 0.05% and showed good dynamic performance. The proposed soft sensor was next used as a process variable in the development of a supervisory scheme and a model-predictive control scheme, which were able to operate the process at product recovery rates of 99.5% while honoring critical product and bottoms product specifications.
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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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Mathematical optimization of the anti-corrosive rice husk ash enhanced reinforced concrete under marine environment
(2018-01-01)
Wongpromrat, W.
;
Anantpinijwatna, A.
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The kinetic model and temperature effect of Caulerpa Lentillifera drying process
(2018-10-29)
Anantpinijwatna, Amata
;
Nuntamongkol, Sitanan
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Tudkesorn, Benjamaporn
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Sukchoy, Orawan
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Deetae, Pawinee
The drying mechanism of the seaweed, Caulerpa Lentillifera, at different temperature were studied. This involved the modelling of the drying kinetic and the studied of the effect of the relative humidity. Five empirical drying kinetic models of Newton, Page, Modified Page, Logarithmic, and Henderson-Pabis were fitted to the experimental data with the kinetic parameters following the modified Arrhenius equation. The decency of the fit of different model was statistically evaluated. Moreover, the milestones for optimization of the drying procedure towards the energy preservation and the valuable constituent saving have been set through the modelling of the drying process energy consumption and the studied of the effect of drying temperature to the seaweed physical appearance. This work should be an interesting starting point for the further study, analysis, and improvement of the Caulerpa Lentillifera drying process.
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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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Mathematical optimization of the anti-corrosive rice husk ash enhanced concrete under marine environment
(2018-01-01)
Wongpromrat, Patthranit
;
Anantpinijwatna, Amata
Chloride induced steel corrosion causes safety and stability problems to the reinforced concrete structure located closed to or under marine environment. The corrosive steel rust could potentially lead to surface swelling altering the external appearance, generating the concrete cracking, lowering the elasticity, reducing tensile strength, and thus leading to the deterioration of the concrete structure. Recent studies present an innovative method for inhibiting chloride corrosion by the addition of fibres into concrete to improve its toughness and tensile properties. By the addition of high fineness rice husk ash (RHA), the RHA would function as chloride adsorbent, preventing the chloride penetration through the concrete into the steel foundation. However, the addition of the RHA also affects the compressive strength, the workability, the consistency, and the slump of the concrete structure, limiting the mixed amount of the RHA that could be added in the concrete. A linear optimization model of the anti-corrosive RHA enhanced concrete has been formulated with the objective to minimize the effect of the chloride corrosion of the steel; whereas, the amount of the mixed RHA is limited by the critical concrete strength in term of modulus elasticity. In this study, the mass transfer coefficient, adsorption coefficient, and the Langmuir equilibrium isotherm are taken from the literatures. The chloride concentration is assumed to be 3.5 % w/v of the total chloride ion in salt water. The model has been validated with the measured data collected from open literatures. The optimum ratio between the RHA and cement mixture is discovered to be based on the void fraction of the concrete mixture. The optimum ratio is found to be around 10 % at the void fraction 0.8 and increasing to 25 % at the void fraction 1.2.
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A reaction database for small molecule pharmaceutical processes integrated with process information
(2017-12-01)
Papadakis, Emmanouil
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Anantpinijwatna, Amata
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Woodley, John M.
;
Gani, Rafiqul
This article describes the development of a reaction database with the objective to collect data for multiphase reactions involved in small molecule pharmaceutical processes with a search engine to retrieve necessary data in investigations of reaction-separation schemes, such as the role of organic solvents in reaction performance improvement. The focus of this reaction database is to provide a data rich environment with process information available to assist during the early stage synthesis of pharmaceutical products. The database is structured in terms of reaction classification of reaction types; compounds participating in the reaction; use of organic solvents and their function; information for single step and multistep reactions; target products; reaction conditions and reaction data. Information for reactor scale-up together with information for the separation and other relevant information for each reaction and reference are also available in the database. Additionally, the retrieved information obtained from the database can be evaluated in terms of sustainability using well-known "green" metrics published in the scientific literature. The application of the database is illustrated through the synthesis of ibuprofen, for which data on different reaction pathways have been retrieved from the database and compared using "green" chemistry metrics.
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Experimental and Modelling Analysis of Liquid-Liquid Formation in Alcohol-mixed Gasoline Fuel
(2019-01-01)
Wongpromrat, Patthranit
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Rukquan, Muntira
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Anantpinijwatna, Amata
To tackle the environmental and sustainability problems, substituting gasoline, partially or solitary with bio-based alcohols becomes global practice. Bioethanol and biomethanol are being blended with gasoline in the ratio between 5-100 % by volume varying on the region. Various studies show positive impact of utilizing the blended fuel environmentally, while the others report the adequate efficiency of the blended fuel compare to the conventional gasoline; however, there were nearly no report on the failure or the shorten lifespan of the engine parts such as a high pressure pump (HPP) or an injector. It has been reported that water residue in the blended-bioethanol and biomethanol could cause the formation of the second liquid phase, leading to the chemical ageing reaction, which resulted in the corrosion of the HPP. To understand and prevent the damage, a quaternary behaviour of the blended gasoline-ethanol-methanol-water at the HPP operating condition is needed. In this work, an experimental study of the quaternary behaviour of the blended fuels has been conducted, the experimental data have been matching with the simulated results for better predictive of the mixture behaviour at different conditions. These results could potentially lead to limit or eliminate the HPP-corrosive problem.
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The application of an incorporated rate-equilibrium model for the production of pyrethroid compound process
(2018-01-01)
Anantpinijwatna, Amata
The pyrethroid-class compound has been produced in multiphase reactor which contains immiscible liquid phases. The reactants, products, and catalysts are partitioned within. These conditions allow novel synthesis paths, higher yields, and faster reactions, as well as facilitate production separation. A systematic modelling framework of three modules has been developed to describe phase equilibria, reactions, mass transfer, and material balances of such processes. The resulting mathematical model contains a few rate parameters to be regressed to a minimum of time-dependent data. In addition to describing the behaviour of such systems, predictions can be made of the effectiveness in rates and ultimate amounts of product formation with different feed scheme for further optimizing of this complex system operation.

Anantpinijwatna, Amata

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