Abstract
The thermal conductivity of saline water is a vital thermophysical property for heat transfer applications, including thermal-based desalination and water treatment technologies. This chapter introduces multicomponent models, correlation, and data used to estimate thermal conductivity at different salinity, temperature, and pressure conditions. Also, the estimated thermal conductivity values from the correlations and methods are compared and assessed against the experimental data of seawater. A new multicomponent model for thermal conductivity is suggested with good accuracy. The chapter suggests some correlations and methods based on their accuracy and operating conditions. Furthermore, the codes used for the investigated methods to predict the thermal conductivity of saline water are provided.
| Original language | English |
|---|---|
| Title of host publication | Springer Water |
| Publisher | Springer Nature |
| Pages | 229-244 |
| Number of pages | 16 |
| DOIs | |
| State | Published - 2023 |
Publication series
| Name | Springer Water |
|---|---|
| Volume | Part F1299 |
| ISSN (Print) | 2364-6934 |
| ISSN (Electronic) | 2364-8198 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Correlations
- Heat transfer
- Methods
- Multicomponent
- Saline water
- Thermal conductivity
ASJC Scopus subject areas
- Oceanography
- Aquatic Science
- Environmental Science (miscellaneous)
- Water Science and Technology
- Earth and Planetary Sciences (miscellaneous)