A statistical thermodynamic model for prediction of vapor pressure of mixed liquid desiccants near saturated solubility. (15th May 2019)
- Record Type:
- Journal Article
- Title:
- A statistical thermodynamic model for prediction of vapor pressure of mixed liquid desiccants near saturated solubility. (15th May 2019)
- Main Title:
- A statistical thermodynamic model for prediction of vapor pressure of mixed liquid desiccants near saturated solubility
- Authors:
- Che, Chunwen
Yin, Yonggao - Abstract:
- Abstract: Because the weight of interactions in liquid desiccants varies with solute type and concentration, it is difficult for existing typical models to accurately quantify the interactions in mixed liquid desiccants near saturated solubility. A statistical thermodynamic model is proposed to predict the vapor pressure of mixed liquid desiccant solutions near saturated solubility by re-quantifying the weight of interactions between all species in solution. The model considers that charge interaction and non-charge interaction are still dominant, and charge-dipole interaction between ions and solvent molecules increases with the increase of solute concentration. Rigorous expressions are given to calculate the interactions: ion-ion charge interaction is described by modifying the Fowler-Guggenheim theory, charge-dipole interaction is expressed by combining the McMillan-Mayer theory with the Debye-Hückel theory, and non-charge interaction is calculated based on the extended UNIQUAC equation. The prediction accuracy comparison between the new model and two typical models shows that the new model has better accuracy, and the superiority of the model increases with the increase of solute concentration and temperature. The model can be recommended for the liquid desiccant solutions consisting of Li +, Ca 2+, Cl − or Br − with concentration ranging from infinite dilution to near saturation and temperature ranging from 283.15 to 353.15 K. Highlights: A new statistical modelAbstract: Because the weight of interactions in liquid desiccants varies with solute type and concentration, it is difficult for existing typical models to accurately quantify the interactions in mixed liquid desiccants near saturated solubility. A statistical thermodynamic model is proposed to predict the vapor pressure of mixed liquid desiccant solutions near saturated solubility by re-quantifying the weight of interactions between all species in solution. The model considers that charge interaction and non-charge interaction are still dominant, and charge-dipole interaction between ions and solvent molecules increases with the increase of solute concentration. Rigorous expressions are given to calculate the interactions: ion-ion charge interaction is described by modifying the Fowler-Guggenheim theory, charge-dipole interaction is expressed by combining the McMillan-Mayer theory with the Debye-Hückel theory, and non-charge interaction is calculated based on the extended UNIQUAC equation. The prediction accuracy comparison between the new model and two typical models shows that the new model has better accuracy, and the superiority of the model increases with the increase of solute concentration and temperature. The model can be recommended for the liquid desiccant solutions consisting of Li +, Ca 2+, Cl − or Br − with concentration ranging from infinite dilution to near saturation and temperature ranging from 283.15 to 353.15 K. Highlights: A new statistical model re-quantifies the weight of interactions in liquid desiccants. Vapor pressures of single and mixed desiccants near saturated solubility are predicted. The developed model improves accuracy significantly in high temperature and concentration. … (more)
- Is Part Of:
- Energy. Volume 175(2019)
- Journal:
- Energy
- Issue:
- Volume 175(2019)
- Issue Display:
- Volume 175, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 175
- Issue:
- 2019
- Issue Sort Value:
- 2019-0175-2019-0000
- Page Start:
- 798
- Page End:
- 809
- Publication Date:
- 2019-05-15
- Subjects:
- Liquid desiccant near saturated solubility -- Vapor pressure -- Prediction -- Statistical thermodynamic model
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2019.03.115 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10119.xml