dehydration process
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2022 ◽  
Vol 5 (1) ◽  
pp. 144-150
Author(s):  
Yung Azani ◽  
Armila Armila ◽  
Rudi Kurniawan Arief

The regeneration process in saturated dehydrator after working to drying the gas in the dehydration unit in the Natural Gas Liquified Extraction (NGLE) plant. This process is through the heating dehydrator process by flowing the regeneration gas into the dehydrator slowly (rump up temperature) until it reaches the heating temperature,and then holding the condition. Its condition is in accordance with the engineering design and followed by a rump down temperature which the dehydrator will be cooled down and ready for the dehydration process. This regeneration process works automatically in accordance with the engineering design which runs following the logic control that has been implemented into the Distributed Control System (DCS) in the Control Room. All order in DCS to obtain gas that has been moisture limited value which is allowed to be extracted. Regeneration gas was taken from the heat exchange between hot oil and regeneration gas in the regeneration gas heater package. This operation happend when the rump up temperature leaks the hot oil in the flange fitting of the regeneration gas heater package, its causes oil spillage (engineering design standart operation procedur). Its analysis case assumed the leakage is caused by thermal shock in the fittings of regeneration gas heater package in 2 % hot oil supply. To eliminate the thermal shock, a simulation of new models engineering design is initial by opening of the hot oil supply to the regeneration gas heater was changes with increasing its opening during stand-by conditions from 2% with a temperature at 45.72°C to 5% with a temperature at 51.61C in the Distributed Control System (DCS) logic control. The results goals with this implementation are no more hot oil leaks occur in the regeneration gas heater package. New models engineering design is stopping hot oil spillage, and maintaining operational continuity without having to spend money on repairing the regeneration gas heater package. process run in new models of engineering design, and this model becomes the new standard operating in start-up and commissioning plant process.


LWT ◽  
2022 ◽  
pp. 113092
Author(s):  
Irene Palacios Romero ◽  
María José Rodríguez Gómez ◽  
Francisco Manuel Sánchez Iñiguez ◽  
Patricia Calvo Magro

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 100
Author(s):  
Marcin Morawski ◽  
Marcin Malec ◽  
Beata Niezgoda-Żelasko

This paper presents a mathematical model of the heat and mass transfer processes for a rotary-spray honey dehydrator with a heat pump and a closed air circuit. An analytical calculation model, based on the energy balance equations of the dehydrator and heat pump, was used to model the transient dehydration process of honey in a dehydrator. The presented article includes a different approach to modelling both the dryer and the heat pump assisting the drying process. The novel quality of this study lies in the use of original equations to determine the heat and mass transfer coefficients between honey and air and using an actual model of a cooling unit to model the honey dehydration process. The experimentally verified calculation algorithm enables an analysis of the effects of air flow rate, mixer rotation speed, and cooling unit power on the efficiency of the drying process. The dehydrator calculation model was used to minimize the drying time by selecting the optimal evaporative temperature values of the cooling unit. For fixed mixer speed and air flow rates, optimal values of evaporation temperatures allow for 8–13% reduction in honey drying time and an increase in the specific moisture extraction rate (SMER) by 4–32%.


2021 ◽  
Vol 12 ◽  
Author(s):  
Di Zhang ◽  
Tao Liu ◽  
Jiangyuan Sheng ◽  
Shan Lv ◽  
Li Ren

Lotus is an aquatic plant that is sensitive to water loss, but its seeds are longevous after seed embryo dehydration and maturation. The great difference between the responses of vegetative organs and seeds to dehydration is related to the special protective mechanism in embryos. In this study, tandem mass tags (TMT)-labeled proteomics and parallel reaction monitoring (PRM) technologies were used to obtain novel insights into the physiological regulatory networks during lotus seed dehydration process. Totally, 60,266 secondary spectra and 32,093 unique peptides were detected. A total of 5,477 proteins and 815 differentially expressed proteins (DEPs) were identified based on TMT data. Of these, 582 DEPs were continuously downregulated and 228 proteins were significantly up-regulated during the whole dehydration process. Bioinformatics and protein-protein interaction network analyses indicated that carbohydrate metabolism (including glycolysis/gluconeogenesis, galactose, starch and sucrose metabolism, pentose phosphate pathway, and cell wall organization), protein processing in ER, DNA repair, and antioxidative events had positive responses to lotus embryo dehydration. On the contrary, energy metabolism (metabolic pathway, photosynthesis, pyruvate metabolism, fatty acid biosynthesis) and secondary metabolism (terpenoid backbone, steroid, flavonoid biosynthesis) gradually become static status during lotus embryo water loss and maturation. Furthermore, non-enzymatic antioxidants and pentose phosphate pathway play major roles in antioxidant protection during dehydration process in lotus embryo. Abscisic acid (ABA) signaling and the accumulation of oligosaccharides, late embryogenesis abundant proteins, and heat shock proteins may be the key factors to ensure the continuous dehydration and storage tolerance of lotus seed embryo. Stress physiology detection showed that H2O2 was the main reactive oxygen species (ROS) component inducing oxidative stress damage, and glutathione and vitamin E acted as the major antioxidant to maintain the REDOX balance of lotus embryo during the dehydration process. These results provide new insights to reveal the physiological regulatory networks of the protective mechanism of embryo dehydration in lotus.


2021 ◽  
Vol 937 (2) ◽  
pp. 022096
Author(s):  
V Filipović ◽  
M Petković ◽  
B Lončar ◽  
M Nićetin ◽  
V Knežević

Abstract Investigation and modeling of osmotic dehydration parameters on antioxidative activity of peach samples in combined dehydration methods of osmotic dehydration and lyophilization are done to produce the final product of preserved and enhanced antioxidative activity. Antioxidative activity of dehydrated peach samples was investigated by measuring DPPH radical scavenging capacity, and response surface methodology for developing mathematical models was applied. The results showed that combined osmodehydration and lyophilization processes have led to the increased antioxidative activity of dehydrated peaches samples. All three investigated osmodehydration process parameters affected the increase of DPPH values, where process time was found to be the most influential parameter. Maximal obtained DPPH value of 18.25% was achieved in osmotic dehydration process of 5 hours, in 80% concentration molasses, at a temperature of 50 °C and successive 5-hour lyophilization process. Developed mathematical model of DPPH response of dehydrated peach samples was statistically significant, while predicted and observed responses had good correlation, allowing good prediction of the peach samples’ antioxidative activity.


Author(s):  
Jinghua Ye ◽  
Chun Zhang ◽  
Taotao Gao ◽  
Huacheng Zhu

Abstract Polyphosphoric acid (PPA) is widely used in inorganic salt production, petrochemical industry, electronic material preparation and other manufacturing industries. Conventional preparation methods of PPA has disadvantages of pollution, high energy consumption and long production time. To address this problem, microwave continuous-flow preparation may be a desirable way due to its advantages of environmentally-friendly, rapidity and high efficiency. Therefore, to explore the process of preparing PPA by microwave continuous-flow method, a continuous-flow microwave reactor was designed for the dehydration process of orthophosphoric acid to prepare PPA in this paper. The microwave-assisted dehydration process was studied in comparison with the conventional dehydration process and the “closed” microwave-assisted dehydration process in terms of energy efficiency, process times and treatment capacity. The effect of input microwave power, reduced pressure and inlet flow velocity of orthophosphoric acid on the performance of the dehydration process was studied. The results showed that the influence of the microwave power on the temperature rise process during dehydration is greater than that of the reduced pressure. Moreover, the inlet flow rate has a great impact on the treatment capacity and product quality of the dehydration process. Bedsides, the comparison with the other two methods showed that microwave heating can effectively shorten the dehydration time, and the continuous-flow treatment can effectively improve the treatment capacity of microwave heating. The perspectives of the process scale-up by continuous-flow microwave heating method is also discussed.


Author(s):  
Lichao Ge ◽  
Xiaoyan Liu ◽  
Hongcui Feng ◽  
Han Jiang ◽  
Can Zhao ◽  
...  

2021 ◽  
Author(s):  
Huizhon LIU ◽  
Keshun YOU

Abstract In order to better improve the efficiency of the concentrate filter press dehydration operation, this paper studies the mechanism and optimization methods of the filter press dehydration process. Machine learning models of RBF-OLS, RBF-GRNN and support vector regression (SVR) are constructed respectively, and Perform laboratory simulation and industrial simulation separately. SVR achieves the best accuracy in industrial simulation, the simulated mean relative error (MRE) of moisture and processing capacity are respectively 1.57% and 3.81%. Finally, a simulation model of the filter press dehydration process established by SVR, and the optimtical simulation results Obtained by optimization method based on control variables. The results show that the machine learning method of SVR and optimization methods based on control variables are applied to industry, which can not only ensure the stability of expected production indicators, but also shorten the filter press dehydration cycle to less than 85% of the original.


Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6177
Author(s):  
Rajib Mukherjee ◽  
Urmila M. Diwekar

Natural gas processing requires the removal of acidic gases and dehydration using absorption, mainly conducted in tri-ethylene glycol (TEG). The dehydration process is accompanied by the emission of volatile organic compounds, including BTEX. In our previous work, multi-objective optimization was undertaken to determine the optimal operating conditions in terms of the process parameters that can mitigate BTEX emission using data-driven metamodeling and metaheuristic optimization. Data obtained from a process simulation conducted using the ProMax® process simulator were used to develop a metamodel with machine learning techniques to reduce the computational time of the iterations in a robust process simulation. The metamodels were created using limited samples and some underlying phenomena must therefore be excluded. This introduces the so-called metamodeling uncertainty. Thus, the performance of the resulting optimized process variables may be compromised by the lack of adequately accounting for the uncertainty introduced by the metamodel. In the present work, the bias of the metamodel uncertainty was addressed for parameter optimization. An algorithmic framework was developed for parameter optimization, given these uncertainties. In this framework, metamodel uncertainties are quantified using real model data to generate distribution functions. We then use the novel Better Optimization of Nonlinear Uncertain Systems (BONUS) algorithm to solve the problem. BTEX mitigation is used as the objective of the optimization. Our algorithm allows the determination of the optimal process condition for BTEX emission mitigation from the TEG dehydration process under metamodel uncertainty. The BONUS algorithm determines optimal process conditions compared to those from the metaheuristic method, resulting in BTEX emission mitigation up to 405.25 ton/yr.


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