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https://doi.org/10.21256/zhaw-23526Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Brenner, Lorenz | - |
| dc.contributor.author | Tillenkamp, Frank | - |
| dc.contributor.author | Ghiaus, Christian | - |
| dc.date.accessioned | 2021-11-22T10:42:55Z | - |
| dc.date.available | 2021-11-22T10:42:55Z | - |
| dc.date.issued | 2021-11 | - |
| dc.identifier.issn | 0140-7007 | de_CH |
| dc.identifier.issn | 1879-2081 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/23526 | - |
| dc.description.abstract | To investigate and optimize a refrigeration system, the behavior at various operating conditions must be known or determined. The performance and improvement possibilities may then be inferred from measurement data and compared with corresponding performance key figures. These values are typically referred to normal conditions and it is usually unknown which ones represent an adequate operation. However, it is relevant for refrigeration plant operators to have reference values for a large range of operation conditions as a baseline for determining the obtainable improvements. The present work proposes the application of steady-state models of refrigeration machines for increasing the range of applicability of the exergy-based optimization potential index method. Four different modeling approaches are evaluated and discussed: equation-fit, physical lumped parameter, refrigeration cycle and artificial neural network based models. The practical usage of the improved evaluation method is shown for the subsystem refrigeration machine on a real field installation as a case study. With the introduced additional limits for the optimization potential index, the interpretability of the results is increased. The distinction between adequate (technical requirements exceeded), acceptable (technical requirements fulfilled) and inadequate (potential for improvement) operation according to the state of the art in technology is straightforward, which is important in practice. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | Elsevier | de_CH |
| dc.relation.ispartof | International Journal of Refrigeration | de_CH |
| dc.rights | http://creativecommons.org/licenses/by/4.0/ | de_CH |
| dc.subject | Optimization potential assessment method | de_CH |
| dc.subject | Modeling | de_CH |
| dc.subject | Refrigeration plant | de_CH |
| dc.subject | Refrigeration machine | de_CH |
| dc.subject | Optimization potential index | de_CH |
| dc.subject.ddc | 620: Ingenieurwesen | de_CH |
| dc.title | Refrigeration machine modeling for exergy-based performance and optimization potential evaluation of chillers in real field plants | de_CH |
| dc.title.alternative | Modélisation de machines frigorifiques pour l’évaluation exergétique de la performance et du potentiel d’optimisation des refroidisseurs dans des installations réelles | de_CH |
| dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Energiesysteme und Fluid-Engineering (IEFE) | de_CH |
| dc.identifier.doi | 10.1016/j.ijrefrig.2021.07.026 | de_CH |
| dc.identifier.doi | 10.21256/zhaw-23526 | - |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 785 | de_CH |
| zhaw.pages.start | 775 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.volume | 131 | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.webfeed | Energiediskurse | de_CH |
| zhaw.webfeed | Erneuerbare Energien | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021_Brenner-etal_Refrigeration-machine-modeling.pdf | 3.88 MB | Adobe PDF |  View/Open |
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Brenner, L., Tillenkamp, F., & Ghiaus, C. (2021). Refrigeration machine modeling for exergy-based performance and optimization potential evaluation of chillers in real field plants. International Journal of Refrigeration, 131, 775–785. https://doi.org/10.1016/j.ijrefrig.2021.07.026
Brenner, L., Tillenkamp, F. and Ghiaus, C. (2021) ‘Refrigeration machine modeling for exergy-based performance and optimization potential evaluation of chillers in real field plants’, International Journal of Refrigeration, 131, pp. 775–785. Available at: https://doi.org/10.1016/j.ijrefrig.2021.07.026.
L. Brenner, F. Tillenkamp, and C. Ghiaus, “Refrigeration machine modeling for exergy-based performance and optimization potential evaluation of chillers in real field plants,” International Journal of Refrigeration, vol. 131, pp. 775–785, Nov. 2021, doi: 10.1016/j.ijrefrig.2021.07.026.
BRENNER, Lorenz, Frank TILLENKAMP und Christian GHIAUS, 2021. Refrigeration machine modeling for exergy-based performance and optimization potential evaluation of chillers in real field plants. International Journal of Refrigeration. November 2021. Bd. 131, S. 775–785. DOI 10.1016/j.ijrefrig.2021.07.026
Brenner, Lorenz, Frank Tillenkamp, and Christian Ghiaus. 2021. “Refrigeration Machine Modeling for Exergy-Based Performance and Optimization Potential Evaluation of Chillers in Real Field Plants.” International Journal of Refrigeration 131 (November): 775–85. https://doi.org/10.1016/j.ijrefrig.2021.07.026.
Brenner, Lorenz, et al. “Refrigeration Machine Modeling for Exergy-Based Performance and Optimization Potential Evaluation of Chillers in Real Field Plants.” International Journal of Refrigeration, vol. 131, Nov. 2021, pp. 775–85, https://doi.org/10.1016/j.ijrefrig.2021.07.026.
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