Development of multi-split type air-conditioning system model for hvac system energy simulation based on refrigerants thermodynamic properties

Tomohiro Ataku, Eisuke Togashi, Shinichi Tanabe

    Research output: Contribution to journalArticle

    Abstract

    This study proposes methods of the multi-split type air-conditioning system model based on refrigerants thermodynamic properties that improve the computational speed reserving accuracy and extrapolability, and reduce physical parameters setting work. The purpose is to improve the quantitative performance assessment of the multi-split type air-conditioning system. The approximation method of refrigerative physical properties value using the neural network improves the computational speed. When the heat load of indoor equipment is input to the multi-split type air-conditioning system model, the amount of consumption energy is the output. It is found the proposed model can calculate approximate outputs in cases of not only JIS but other conditions.

    Original languageEnglish
    Pages (from-to)279-287
    Number of pages9
    JournalJournal of Environmental Engineering
    Volume75
    Issue number649
    DOIs
    Publication statusPublished - 2010 Mar

    Fingerprint

    Refrigerants
    Air conditioning
    Thermodynamic properties
    Thermal load
    Energy utilization
    Physical properties
    Neural networks

    Keywords

    • Multi-split type air-conditioning system
    • Physical simulation
    • R410A

    ASJC Scopus subject areas

    • Environmental Engineering

    Cite this

    Development of multi-split type air-conditioning system model for hvac system energy simulation based on refrigerants thermodynamic properties. / Ataku, Tomohiro; Togashi, Eisuke; Tanabe, Shinichi.

    In: Journal of Environmental Engineering, Vol. 75, No. 649, 03.2010, p. 279-287.

    Research output: Contribution to journalArticle

    @article{3bbc8a6b1c594eb699ca3802482fb5f7,
    title = "Development of multi-split type air-conditioning system model for hvac system energy simulation based on refrigerants thermodynamic properties",
    abstract = "This study proposes methods of the multi-split type air-conditioning system model based on refrigerants thermodynamic properties that improve the computational speed reserving accuracy and extrapolability, and reduce physical parameters setting work. The purpose is to improve the quantitative performance assessment of the multi-split type air-conditioning system. The approximation method of refrigerative physical properties value using the neural network improves the computational speed. When the heat load of indoor equipment is input to the multi-split type air-conditioning system model, the amount of consumption energy is the output. It is found the proposed model can calculate approximate outputs in cases of not only JIS but other conditions.",
    keywords = "Multi-split type air-conditioning system, Physical simulation, R410A",
    author = "Tomohiro Ataku and Eisuke Togashi and Shinichi Tanabe",
    year = "2010",
    month = "3",
    doi = "10.3130/aije.75.279",
    language = "English",
    volume = "75",
    pages = "279--287",
    journal = "Journal of Environmental Engineering, ASCE",
    issn = "1348-0685",
    publisher = "American Society of Civil Engineers (ASCE)",
    number = "649",

    }

    TY - JOUR

    T1 - Development of multi-split type air-conditioning system model for hvac system energy simulation based on refrigerants thermodynamic properties

    AU - Ataku, Tomohiro

    AU - Togashi, Eisuke

    AU - Tanabe, Shinichi

    PY - 2010/3

    Y1 - 2010/3

    N2 - This study proposes methods of the multi-split type air-conditioning system model based on refrigerants thermodynamic properties that improve the computational speed reserving accuracy and extrapolability, and reduce physical parameters setting work. The purpose is to improve the quantitative performance assessment of the multi-split type air-conditioning system. The approximation method of refrigerative physical properties value using the neural network improves the computational speed. When the heat load of indoor equipment is input to the multi-split type air-conditioning system model, the amount of consumption energy is the output. It is found the proposed model can calculate approximate outputs in cases of not only JIS but other conditions.

    AB - This study proposes methods of the multi-split type air-conditioning system model based on refrigerants thermodynamic properties that improve the computational speed reserving accuracy and extrapolability, and reduce physical parameters setting work. The purpose is to improve the quantitative performance assessment of the multi-split type air-conditioning system. The approximation method of refrigerative physical properties value using the neural network improves the computational speed. When the heat load of indoor equipment is input to the multi-split type air-conditioning system model, the amount of consumption energy is the output. It is found the proposed model can calculate approximate outputs in cases of not only JIS but other conditions.

    KW - Multi-split type air-conditioning system

    KW - Physical simulation

    KW - R410A

    UR - http://www.scopus.com/inward/record.url?scp=79954511988&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=79954511988&partnerID=8YFLogxK

    U2 - 10.3130/aije.75.279

    DO - 10.3130/aije.75.279

    M3 - Article

    AN - SCOPUS:79954511988

    VL - 75

    SP - 279

    EP - 287

    JO - Journal of Environmental Engineering, ASCE

    JF - Journal of Environmental Engineering, ASCE

    SN - 1348-0685

    IS - 649

    ER -