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https://doi.org/10.2139/ssrn.6...
Article . 2026 . Peer-reviewed
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https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
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TUHH Open Research - Research Data TUHH
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
TUHH Open Research (TORE)
Preprint . 2026
License: CC BY NC ND
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Analysis of Entropy Generation Mechanisms in a Desiccant Wheel

Authors: Segura Schreiber, Jan; Makhova, Evgenia; Speerforck, Arne;

Analysis of Entropy Generation Mechanisms in a Desiccant Wheel

Abstract

This work presents a novel detailed analysis of entropy generation mechanisms in a desiccant wheel (DW) by the the direct method, enabling differentiation of entropy sources by type and location. A detailed model of the desiccant-based system, implemented in Modelica, is used to compute entropy generation from various phenomena. Furthermore, a novel idealized dehumidification process is proposed and compared to simulation results. Results show that irreversible heat transfer dominates entropy generation (ca. 40 % in the reference case), followed by mass transfer, dissipation, and mixing. Through parametric variation of regeneration temperature and wheel rotational speed, optimal operating points that minimize entropy generation are identified. It is demonstrated that entropy generation can be minimized by reaching an operating point with minimal temperature spread at the wheel outlet surface. Comparison with the ideal process reveals that a significant portion of the system's exergy requirements stems from irreversibilities within the DW itself, rather than from losses in discharged air streams.

Country
Germany
Keywords

desiccant wheel, ideal dehumidification, Entropy, second law, modelica, Technology::621: Applied Physics, Natural Sciences and Mathematics::518: Numerical Analysis, Technology::628: Sanitary; Municipal

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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