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dc.contributor.authorBrestovič, Tomáš
dc.contributor.authorČarnogurská, Mária
dc.contributor.authorPříhoda, Miroslav
dc.contributor.authorLukáč, Peter
dc.contributor.authorLázár, Marián
dc.contributor.authorJasminská, Natália
dc.contributor.authorDobáková, Romana
dc.date.accessioned2018-07-02T11:11:45Z
dc.date.available2018-07-02T11:11:45Z
dc.date.issued2018
dc.identifier.citationApplied Sciences. 2018, vol. 8, issue 4, art. no. 625.cs
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10084/130384
dc.description.abstractThe present article describes the diagnostics of a compressor that is compressing a mixture of H-2 and N-2 on the basis of the results that were obtained by operational measurements of the flow rates and temperatures at selected compressor sites, as well as of the acoustic pressure levels during the full loading thereof. The obtained data were subsequently used to determine the limit conditions of the compressor operations in terms of the cooling capacity. A thermodynamic analysis of the compression of the H-2/N-2 gas mixture was carried out with subsequent heat and energy flow calculation and the determination of the minimum cooling water flow rate that is required to ensure the continuous compressor operations.cs
dc.format.extent20026078 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesApplied Sciencescs
dc.relation.urihttps://doi.org/10.3390/app8040625cs
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectcompressorcs
dc.subjectdiagnosticscs
dc.subjectoperating experimentcs
dc.subjectminimum cooling capacitycs
dc.titleDiagnostics of hydrogen-containing mixture compression by a two-stage piston compressor with cooling demand predictioncs
dc.typearticlecs
dc.identifier.doi10.3390/app8040625
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume8cs
dc.description.issue4cs
dc.description.firstpageart. no. 625cs
dc.identifier.wos000434996400152


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© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.