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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Thermal Engi...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Thermal Engineering
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Dynamic optimisation of adsorber-bed designs ensuring optimal control

Authors: Uwe Bau; Pooya Hoseinpoori; Stefan Graf; Heike Schreiber; Franz Lanzerath; Christian Kirches; André Bardow;

Dynamic optimisation of adsorber-bed designs ensuring optimal control

Abstract

Abstract A model-based method is presented to rigorously assess and compare adsorber-bed designs. Starting from an initial design, a dynamic model is developed. The initial design is then varied using the dynamic model to determine the Pareto frontier regarding two objectives: coefficient of performance (COP) and specific cooling power (SCP). To ensure that we assess the intrinsic properties of the design and not effects of poor control, we use dynamic optimisation to determine optimal controls for each design. The obtained Pareto frontier allows to compare the adsorber-bed designs. The proposed method is exemplified in a case study: for a finned-tube design, we assess two major design choices, namely grain size of the adsorbent pellet and fin number. The proposed method is shown to allow for a rigorous and efficient assessment of adsorber-bed designs.

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    citations
    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).
    22
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
22
Top 10%
Top 10%
Top 10%