Express Method for Assessing Optimality of Industrial Heat Exchangers for Adsorption Heat Transformation Full article
| Journal |
Fluids
ISSN: 2311-5521 |
||
|---|---|---|---|
| Output data | Year: 2023, Volume: 8, Number: 1, Article number : 14, Pages count : 16 DOI: 10.3390/fluids8010014 | ||
| Tags | air-to-water radiator; heat transfer; wind tunnel; adsorption heat transformation; Nusselt numbers correlations; finned flat tube heat exchanger; global heat transfer coefficient | ||
| Authors |
|
||
| Affiliations |
|
Funding (1)
| 1 | Russian Science Foundation | 21-79-10183 |
Abstract:
In this work, four radiators with different core geometries were tested using a wind tunnel. The values of the global heat transfer coefficient (UA = 5 ÷ 65 W/K) were measured depending on the flow of air and water. The obtained UA values correlate well with the data of sorption experiments described in the literature. The found correlations between the Nusselt and Reynolds numbers made it possible to propose an algorithm for ranging commercial air radiators for the use in adsorption heat transformers. It is shown that the use of a wind tunnel can serve as an effective tool for express assessment of the prospects of using air radiators for adsorption heat conversion without destroying radiators or their direct testing in a complex adsorption installation requiring vacuum maintenance.
Cite:
Grekova A.
, Krivosheeva I.
, Solovyeva M.
, Tokarev M.
Express Method for Assessing Optimality of Industrial Heat Exchangers for Adsorption Heat Transformation
Fluids. 2023. V.8. N1. 14 :1-16. DOI: 10.3390/fluids8010014 WOS Scopus РИНЦ OpenAlex
Express Method for Assessing Optimality of Industrial Heat Exchangers for Adsorption Heat Transformation
Fluids. 2023. V.8. N1. 14 :1-16. DOI: 10.3390/fluids8010014 WOS Scopus РИНЦ OpenAlex
Dates:
| Submitted: | Dec 7, 2022 |
| Accepted: | Dec 27, 2022 |
| Published online: | Dec 30, 2022 |
| Published print: | Jan 1, 2023 |
Identifiers:
| Web of science: | WOS:000915147000001 |
| Scopus: | 2-s2.0-85146807487 |
| Elibrary: | 54787094 |
| OpenAlex: | W4313518575 |