Synthetic naphtha recovery from water streams: Vapour‐liquid–liquid equilibrium (<scp>VLLE</scp>) studies in a dynamic <scp>VL</scp>‐cell unit with high intensity mixing

Escobedo, Salvador; Kong, Jeonghoon; Lopez-Zamora, Sandra; Lasa, Hugo de

doi:10.1002/cjce.24120

Cited by 5 publications

(23 citation statements)

References 36 publications

(30 reference statements)

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“…As shown in Table 1, n-Octane has properties similar to those of naphtha, which is one of the primary solvents used in bitumen processing. in previous works [10,11]. Furthermore, and regarding n-octane-water blends, there is already a significant body of data in the technical literature, as shown in Table 2.…”

Section: Specific Strategymentioning

confidence: 94%

“…The Chemical Reactor Engineering Center (CREC) recently developed a CREC VL Cell which allows the measurements of VLL equilibrium (Figure 1) using a "dynamic method", with the temperature of the cell increasing progressively, using thermal ramp of 1.22 • C/min. As a result, every run provides a large amount of vapor-liquid equilibrium data (10 Hz), with the vapor pressure data being recorded at various temperatures, every 0.01 s. Additional explanations about the cell operation are reported in [10,11]. Data obtained from this dynamic method has been validated with static measurements [10,11].…”

Section: Crec Vapor Liquid Equilibrium Cellmentioning

confidence: 99%

“…From an experimental point of view, phase thermodynamic equilibrium is usually measured in experimental setups that provide a limited number of data points in manageable times. Phase equilibrium measurements for dilute hydrocarbon/water systems were made in a specially designed CREC-VL Cell were reported [10,11]. Unlike earlier experimental techniques, the implemented CREC VL Cell is operated in the dynamic mode with a temperature ramp [10,11], recording up to 10 points per second of P mix values.…”

Section: Introductionmentioning

confidence: 99%

“…Phase equilibrium measurements for dilute hydrocarbon/water systems were made in a specially designed CREC-VL Cell were reported [10,11]. Unlike earlier experimental techniques, the implemented CREC VL Cell is operated in the dynamic mode with a temperature ramp [10,11], recording up to 10 points per second of P mix values. This can be considered as "big data" in the context of these experiments.…”

Section: Introductionmentioning

confidence: 99%

“…Given the above, the objectives of this work are as follows: (i) to establish the problems faced with estimating the number of phases in highly diluted octane/water mixtures when using HYSYS V9 and Aspen Plus V9, and (ii) to develop a methodology to predict the correct number of phases, using experimental data obtained in a new CREC VL Cell [10,11].…”

Section: Introductionmentioning

confidence: 99%

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Thermodynamics and Machine Learning Based Approaches for Vapor–Liquid–Liquid Phase Equilibria in n-Octane/Water, as a Naphtha–Water Surrogate in Water Blends

et al. 2021

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The prediction of phase equilibria for hydrocarbon/water blends in separators, is a subject of considerable importance for chemical processes. Despite its relevance, there are still pending questions. Among them, is the prediction of the correct number of phases. While a stability analysis using the Gibbs Free Energy of mixing and the NRTL model, provide a good understanding with calculation issues, when using HYSYS V9 and Aspen Plus V9 software, this shows that significant phase equilibrium uncertainties still exist. To clarify these matters, n-octane and water blends, are good surrogates of naphtha/water mixtures. Runs were developed in a CREC vapor–liquid (VL_ Cell operated with octane–water mixtures under dynamic conditions and used to establish the two-phase (liquid–vapor) and three phase (liquid–liquid–vapor) domains. Results obtained demonstrate that the two phase region (full solubility in the liquid phase) of n-octane in water at 100 °C is in the 10-4 mol fraction range, and it is larger than the 10-5 mol fraction predicted by Aspen Plus and the 10-7 mol fraction reported in the technical literature. Furthermore, and to provide an effective and accurate method for predicting the number of phases, a machine learning (ML) technique was implemented and successfully demonstrated, in the present study.

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Section: Specific Strategymentioning

confidence: 94%

Section: Crec Vapor Liquid Equilibrium Cellmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Thermodynamics and Machine Learning Based Approaches for Vapor–Liquid–Liquid Phase Equilibria in n-Octane/Water, as a Naphtha–Water Surrogate in Water Blends

et al. 2021

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Phase equilibrium inn-octane/water separation units: vapor pressures, vapor and liquid molar fractions

Kong

Escobedo

Lopez-Zamora

et al. 2021

International Journal of Chemical Reactor Engineering

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The present study reports result from research into vapor–liquid–liquid phase equilibrium for n-octane highly diluted in water and water highly diluted in n-octane blends, using a dynamic method implemented in a constant volume CREC-VL-Cell. In the CREC-VL-Cell, a very high level of mixing is achieved, allowing for dispersions to be formed in the liquid phase and good mixing in the gas phase. This VL-Cell and its auxiliary equipment provide an increasing temperature ramp in the 30–110 °C range. It is found that the CREC-VL-Cell is of special value, for studying immiscible or partially miscible blends, such as is the case of n-octane in water. With the data obtained, which includes vapor pressures and temperatures, data analyses involving mass and molar balances, allow establishing overall liquid and vapor molar fractions. The recorded vapor pressures together with the calculated liquid and vapor molar fractions offer valuable data for VL thermodynamic model discrimination. For instance, it can be shown that vapor pressures, vapor and liquid molar fractions, as calculated with the Aspen-Hysys Peng Robinson Equation of State (Hysys-Aspen PR-EoS) provide only a first approximation of the experimental data, with significant discrepancies in the prediction of an n-octane disengagement temperatures. Thus, the determination of combined measured vapor pressures and calculated overall liquid molar fractions in the CREC-VL-Cell, offers a valuable and accurate procedure for thermodynamic model validation and discrimination.

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Advanced Design of Integrated Heat Recovery and Supply System Using Heated Water Storage for Textile Dyeing Process

et al. 2022

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Heat recovery from a high-temperature wastewater is the major concern in the conventional textile industry. However, limited space in the textile plant is an important constraint for the process enhancement. Therefore, an easily applicable heat recovery system with a small amount of additional equipment to the existing dyeing process is required. To meet the needs from the industry, this study suggests an integrated heat recovery and supply system consisting of single heat exchanger and single storage tank using freshwater as a thermal carrier to utilize the reusable heat in the wastewater. Freshwater is stored in a tank after direct heat exchange with wastewater and is supplied to the next dyeing process. Three different designs of the integrated system were compared based on the lower limit of the wastewater temperature: above 50 °C, 40 °C, and 30 °C for Cases 1, 2, and 3, respectively. The energy and energy flow analyses showed Case 2 to be well balanced between the quality and quantity of the recovered heat, and there was no heat loss via drainage. The heat demand for Case 2 was 795.5 kW, which was the lowest among all cases. Furthermore, an economic analysis showed that the total cost for Case 2 was reduced by 63.2% compared with the base case. Despite the use of an additional heat exchanger and water storage tank, the proposed system was more economical because of the reduced operating costs. Finally, a detailed analysis was conducted by determining the more efficient temperature for heat recovery and supply.

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Synthetic naphtha recovery from water streams: Vapour‐liquid–liquid equilibrium (VLLE) studies in a dynamic VL‐cell unit with high intensity mixing

Cited by 5 publications

References 36 publications

Thermodynamics and Machine Learning Based Approaches for Vapor–Liquid–Liquid Phase Equilibria in n-Octane/Water, as a Naphtha–Water Surrogate in Water Blends

Thermodynamics and Machine Learning Based Approaches for Vapor–Liquid–Liquid Phase Equilibria in n-Octane/Water, as a Naphtha–Water Surrogate in Water Blends

Phase equilibrium inn-octane/water separation units: vapor pressures, vapor and liquid molar fractions

Advanced Design of Integrated Heat Recovery and Supply System Using Heated Water Storage for Textile Dyeing Process

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