Estimating static heat flows in buildings for energy allocation systems

Jouko Pakanen (Corresponding Author), Sami Karjalainen

    Research output: Contribution to journalArticleScientificpeer-review

    29 Citations (Scopus)

    Abstract

    An energy cost allocation system records the energy consumption of a building and divides the overall energy costs between the flats. Because the indoor temperatures of rooms are usually not equal, static heat flows between flats cannot be avoided. Hence, in order to ensure fair energy costs per flat the system should be able to determine the static heat flows, preferably without utilising in situ measurements. This paper presents a new method for estimating static heat flows between neighbouring rooms. The approach is theoretical, focusing only on heat transfer issues. Energy cost allocation is not considered.

    The approach is based on the parametric model describing thermal behaviour of an occupied space. The model is created for each room of a building. Parameter values are identified using real-time measurements collected by a building automation system from each room and its environment. The tuning of parameters takes a few days using a 15-min sampling time. A prerequisite for successful system identification is the overall control of the room temperatures. All test runs are performed in a simulated office hotel using the TRNSYS simulation program. The results are encouraging, but further research is needed, especially in a real building environment.
    Original languageEnglish
    Pages (from-to)1044-1052
    Number of pages9
    JournalEnergy and Buildings
    Volume38
    Issue number9
    DOIs
    Publication statusPublished - 2006
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Heat transfer
    Costs
    Hotels
    Time measurement
    Identification (control systems)
    Energy utilization
    Automation
    Tuning
    Sampling
    Temperature
    Hot Temperature

    Keywords

    • buildings
    • heat flows
    • energy consumption
    • heating
    • parametric models
    • building automation
    • measurement
    • simulation
    • energy costs

    Cite this

    Pakanen, Jouko ; Karjalainen, Sami. / Estimating static heat flows in buildings for energy allocation systems. In: Energy and Buildings. 2006 ; Vol. 38, No. 9. pp. 1044-1052.
    @article{a6f13c49ef4a4774990cf95ab911552e,
    title = "Estimating static heat flows in buildings for energy allocation systems",
    abstract = "An energy cost allocation system records the energy consumption of a building and divides the overall energy costs between the flats. Because the indoor temperatures of rooms are usually not equal, static heat flows between flats cannot be avoided. Hence, in order to ensure fair energy costs per flat the system should be able to determine the static heat flows, preferably without utilising in situ measurements. This paper presents a new method for estimating static heat flows between neighbouring rooms. The approach is theoretical, focusing only on heat transfer issues. Energy cost allocation is not considered.The approach is based on the parametric model describing thermal behaviour of an occupied space. The model is created for each room of a building. Parameter values are identified using real-time measurements collected by a building automation system from each room and its environment. The tuning of parameters takes a few days using a 15-min sampling time. A prerequisite for successful system identification is the overall control of the room temperatures. All test runs are performed in a simulated office hotel using the TRNSYS simulation program. The results are encouraging, but further research is needed, especially in a real building environment.",
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    author = "Jouko Pakanen and Sami Karjalainen",
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    Estimating static heat flows in buildings for energy allocation systems. / Pakanen, Jouko (Corresponding Author); Karjalainen, Sami.

    In: Energy and Buildings, Vol. 38, No. 9, 2006, p. 1044-1052.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Estimating static heat flows in buildings for energy allocation systems

    AU - Pakanen, Jouko

    AU - Karjalainen, Sami

    PY - 2006

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    N2 - An energy cost allocation system records the energy consumption of a building and divides the overall energy costs between the flats. Because the indoor temperatures of rooms are usually not equal, static heat flows between flats cannot be avoided. Hence, in order to ensure fair energy costs per flat the system should be able to determine the static heat flows, preferably without utilising in situ measurements. This paper presents a new method for estimating static heat flows between neighbouring rooms. The approach is theoretical, focusing only on heat transfer issues. Energy cost allocation is not considered.The approach is based on the parametric model describing thermal behaviour of an occupied space. The model is created for each room of a building. Parameter values are identified using real-time measurements collected by a building automation system from each room and its environment. The tuning of parameters takes a few days using a 15-min sampling time. A prerequisite for successful system identification is the overall control of the room temperatures. All test runs are performed in a simulated office hotel using the TRNSYS simulation program. The results are encouraging, but further research is needed, especially in a real building environment.

    AB - An energy cost allocation system records the energy consumption of a building and divides the overall energy costs between the flats. Because the indoor temperatures of rooms are usually not equal, static heat flows between flats cannot be avoided. Hence, in order to ensure fair energy costs per flat the system should be able to determine the static heat flows, preferably without utilising in situ measurements. This paper presents a new method for estimating static heat flows between neighbouring rooms. The approach is theoretical, focusing only on heat transfer issues. Energy cost allocation is not considered.The approach is based on the parametric model describing thermal behaviour of an occupied space. The model is created for each room of a building. Parameter values are identified using real-time measurements collected by a building automation system from each room and its environment. The tuning of parameters takes a few days using a 15-min sampling time. A prerequisite for successful system identification is the overall control of the room temperatures. All test runs are performed in a simulated office hotel using the TRNSYS simulation program. The results are encouraging, but further research is needed, especially in a real building environment.

    KW - buildings

    KW - heat flows

    KW - energy consumption

    KW - heating

    KW - parametric models

    KW - building automation

    KW - measurement

    KW - simulation

    KW - energy costs

    U2 - 10.1016/j.enbuild.2005.12.002

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