scholarly journals Effect of Charging and Discharging Process of PCM with Paraffin and Al2O3 Additive Subjected to Three Point Temperature Locations

2022 ◽  
Vol 23 (2) ◽  
pp. 34-42
Author(s):  
Sunil Kumar K. ◽  
Sumathy Muniamuthu ◽  
A. Mohan ◽  
P. Amirthalingam ◽  
M. Anbu Muthuraja
Keyword(s):  
1980 ◽  
Vol 45 (11) ◽  
pp. 2903-2918 ◽  
Author(s):  
Josef Horák ◽  
Zina Valášková ◽  
František Jiráček

Algorithms have been presented, analyzed and experimentally tested to stabilize the reaction temperature at constant inlet temperature and composition of the feed by controlled dispensing of the catalyst. The information for the control element is the course of the reaction temperature. If the temperature of the reaction mixture is below the set point, the catalyst is being fed into the reactor at a constant rate. If the reaction temperature is higher the catalyst dispenser is blocked; dispensing of the catalyst is not resumed until the set point temperature has been reached again. The amount of catalyst added is a function of the duration of the switching cycle. The effect has been discussed of the form of this function on the course of the switching cycle. The results have been tested experimentally on a laboratory reactor controlled in an unstable steady state.


2013 ◽  
Vol 84 (7) ◽  
pp. 075118 ◽  
Author(s):  
G. A. Mannella ◽  
V. La Carrubba ◽  
V. Brucato

2021 ◽  
pp. 1-16
Author(s):  
Dong Liu ◽  
Yonghui Liu ◽  
Nanjun Lai ◽  
Youjun Ji ◽  
TingHui Hu

Abstract The inflection point temperature of rheology (IPTR) of heavy oil transforming from a non-Newtonian fluid into a Newtonian fluid is a key parameter in the steam huff- and-puff process. It is particularly relevant in terms of optimizing injection parameters, calculating the heating radius, and determining well spaces. However, the current approach exhibits obvious shortcomings, such as the randomness of the selected tangent line and inadaptability for extra-heavy oil with high viscosity. Therefore, this paper presents a novel method for calculating IPTR using viscosity–temperature data. The approach is based on the Arrhenius equation and quantitatively evaluates the IPTR according to the inflection point of the apparent activation energy. The IPTR values of four heavy-oil samples obtained from the Bohai Oilfield in China were quantitatively predicted according to viscosity–temperature data using the proposed method. The method's accuracy was verified by a series of rheological investigations on samples obtained from two heavy-oil wells. Additionally, the new method was used to predict IPTR according to the published viscosity–temperature data of 10 heavy-oil samples from the Shengli Oilfield. Again, a good correspondence was found, and mean absolute and relative errors of 3°C and 4.6%, respectively, were reported. Therefore, the proposed model was confirmed to improve the prediction accuracy of the existing method, and provided a new method for calculating the IPTR of heavy-oil.


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