Identification of representative operating conditions of HVAC systems in passenger rail vehicles based on sampling virtual train trips

Christian Luger, Johann Kallinovsky, René Rieberer

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
Number of pages11
JournalAdvanced Engineering Informatics
Volume30
DOIs
Publication statusPublished - 2016

Keywords

    Fields of Expertise

    • Mobility & Production

    Cite this

    Identification of representative operating conditions of HVAC systems in passenger rail vehicles based on sampling virtual train trips. / Luger, Christian; Kallinovsky, Johann; Rieberer, René.

    In: Advanced Engineering Informatics, Vol. 30, 2016.

    Research output: Contribution to journalArticleResearchpeer-review

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    title = "Identification of representative operating conditions of HVAC systems in passenger rail vehicles based on sampling virtual train trips",
    keywords = "Rail vehicle thermal loads, Rail HVAC load cycles, Representative operating conditions, Monte-Carlo-based data sampling, General transit feed specification",
    author = "Christian Luger and Johann Kallinovsky and Ren{\'e} Rieberer",
    year = "2016",
    doi = "http://dx.doi.org/10.1016/j.aei.2016.02.006",
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    volume = "30",
    journal = "Advanced Engineering Informatics",
    issn = "1474-0346",
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    AU - Luger, Christian

    AU - Kallinovsky, Johann

    AU - Rieberer, René

    PY - 2016

    Y1 - 2016

    KW - Rail vehicle thermal loads

    KW - Rail HVAC load cycles

    KW - Representative operating conditions

    KW - Monte-Carlo-based data sampling

    KW - General transit feed specification

    U2 - http://dx.doi.org/10.1016/j.aei.2016.02.006

    DO - http://dx.doi.org/10.1016/j.aei.2016.02.006

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    VL - 30

    JO - Advanced Engineering Informatics

    JF - Advanced Engineering Informatics

    SN - 1474-0346

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