Numerical Simulation of an Industrial Absorber for Dehydration of Natural Gas Using Triethylene Glycol

Dagde, Kenneth Kekpugile; Akpa, Jackson Gunorubon

doi:10.1155/2014/693902

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…In this study, the method of Gauss quadrature was applied. The Gauss quadrature [69][70][71] is considered to be one of the best stratified sampling methods that use function values at sampling points with corresponding weights. An example of the application of the Gauss quadrature is the representation of random variables using Hermite polynomials of normally distributed random variables, known as Gauss-Hermite quadrature [72,73].…”

Section: Gaussian Quadrature Samplingmentioning

confidence: 99%

New Sensitivity Indices of a 2D Flood Inundation Model Using Gauss Quadrature Sampling

et al. 2019

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A new method for sensitivity analysis of water depths is presented based on a two-dimensional hydraulic model as a convenient and cost-effective alternative to Monte Carlo simulations. The method involves perturbation of the probability distribution of input variables. A relative sensitivity index is calculated for each variable, using the Gauss quadrature sampling, thus limiting the number of runs of the hydraulic model. The variable-related highest variation of the expected water depths is considered to be the most influential. The proposed method proved particularly efficient, requiring less information to describe model inputs and fewer model executions to calculate the sensitivity index. It was tested over a 45 km long reach of the Richelieu River, Canada. A 2D hydraulic model was used to solve the shallow water equations (SWE). Three input variables were considered: Flow rate, Manning’s coefficient, and topography of a shoal within the considered reach. Four flow scenarios were simulated with discharge rates of 759, 824, 936, and 1113 m 3 / s . The results show that the predicted water depths were most sensitive to the topography of the shoal, whereas the sensitivity indices of Manning’s coefficient and the flow rate were comparatively lower. These results are important for making better hydraulic models, taking into account the sensitivity analysis.

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Section: Gaussian Quadrature Samplingmentioning

confidence: 99%

New Sensitivity Indices of a 2D Flood Inundation Model Using Gauss Quadrature Sampling

et al. 2019

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“…Ibrahim (2022) [14], researched mathematical modelling and simulation of control strategies for stirrer tank reactors. According to the researcher, the concept of control theory is primarily aimed at responding to unsteady state operation by subjecting the control system to severe constraints in its operating space to ensure safe and maximum operation of the system to enhance economic efficiency or viability of the process [15,16]. The CSTR process configuration as applied in the industry is usually complex and incorporated with both process and manipulated variables which exhibit non-linear unsteady-state characteristics thereby necessitating the configuration of controllers in the reactors design.…”

Section: Introductionmentioning

confidence: 99%

Development and assessment of a Manual and Automated PID Controllers for the Optimum Production of Ethylene Glycol in a CSTR

Wosu,

Ezeh,

Elias

2024

Preprint

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Industrially, one of the techniques used to enhance the optimum production of petrochemicals is the configuration of process control units such as gas chromatography (G.C. Analyzer) for concentration and thermocouple for temperature in the production system. This research focused on the application of the principles of mass and energy conservation in the development of dynamic or unsteady state models for predicting the behaviour of the system or process involved in the production of ethylene glycol from a reaction involving oxidation of ethylene to ethylene oxide which further undergoes hydrolysis to produce ethylene glycol in a continuous stirred tank reactor (CSTR). The high mathematical complexities of the mass and energy balance models of the Process as a result of the reaction kinetic scheme of the non-elementary reaction of the process which integrates both linear and non-linear terms into the models were resolved by applying the principles of Taylor’s series expansion, Laplace Transform, partial fraction and matrix appropriately in the development of the dynamic models. Process simulation tool Simulink was utilized in the configuration of closed-loop systems (thermocouple and G. C. Analyzer) at the feed point of the reactor for process variables (temperature and concentration) control during the process using proportional, integral and derivative (PID) as the controller parameters. The results of the process behaviour as shown in the temperature and concentration profiles versus time show that the use of manual tuning of different controller parameters (PID) of (0, 1 and 0), (0, 2 and 3) and (1.5,0.5 and 0) for temperature control and (3,0 and 0), (0,1 and 2) and (4,1 and 2) for concentration. The system experienced a high level of fluctuations and would not attain its stability or steady state even at process time above 16seconds. Whereas, the use of automatic tuning of desired controller gains of (1.361, 1.056 and 0.4109) for KP, KI and KD (PID) for temperature and pressure with tuning of 143.9 times requires a maximum time of 8 seconds for the system to attain stability. Ths study showed that automated tuning of the controller resulted in better performance characteristics for optimum production of ethylene glycol in a non-isotheral continuous stirred tank reactor within the shortest possible time.

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Design modification and comparative analysis of glycol‐based natural gas dehydration plant

Wosu,

Akpa,

Wordu

et al. 2024

Applied Research

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Natural gas production from reservoirs is often associated with water, which poses numerous challenges, such as methane hydrate formation, sludge, corrosion, and flow assurance issues in gas processing plants and sales gas transmission pipelines. To effectively remove water from natural gas, there is a need to design, compare, and modify dehydration plants. This study investigated the performance difference between a conventional Triethylene Glycol (TEG)‐based dehydration system with a cooler at the TEG inlet to the contactor, and a newly proposed TEG‐based dehydration system with a heat exchanger replacing the cooler at the TEG inlet with the contactor. The advanced process simulation software Aspen HYSYS was used to design and compare two dehydration system configurations. The modified design configuration exhibited better performance in terms of energy conservation and water‐removal capability. The material balance of molar flow, mass flow, and volume flow of dry gas produced in the absorber/contactor column showed a higher volume of dry gas produced in the modified system configuration, indicating that it is a better design. The modified design configuration also produced dry gas within the recommended temperature range for underground storage and transmission. There was a significant difference in the percentage difference of 64% between the conventional and modified designs in terms of energy consumption, whereas the percentage differences of 0% and 0.6% showed non‐significant and significant differences between the two plant design configurations. Both plant design configurations showed a significant reduction (from 0.005 mol% to 0.0002 mol%) in the water composition of natural gas after the simulation.This article is protected by copyright. All rights reserved.

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Numerical Simulation of an Industrial Absorber for Dehydration of Natural Gas Using Triethylene Glycol

Cited by 4 publications

References 11 publications

New Sensitivity Indices of a 2D Flood Inundation Model Using Gauss Quadrature Sampling

New Sensitivity Indices of a 2D Flood Inundation Model Using Gauss Quadrature Sampling

Development and assessment of a Manual and Automated PID Controllers for the Optimum Production of Ethylene Glycol in a CSTR

Design modification and comparative analysis of glycol‐based natural gas dehydration plant

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