Comfort assessment in the context of sustainable buildings: Comparison of simplified and detailed human thermal sensation methods

Riikka Holopainen (Corresponding Author), Pekka Tuomaala, P. Hernandez, Tarja Häkkinen, Kalevi Piira, Jouko Piippo

    Research output: Contribution to journalArticleScientificpeer-review

    43 Citations (Scopus)

    Abstract

    This paper, based on research conducted under the EU FP7 "SuPerBuildings" project, presents current practice and approaches to comfort assessment and specification. The paper compares and discusses the results of different methods used for the calculation of thermal comfort: Fanger's PMV method, the adaptive predicted mean vote (aPMV) method, a Human Thermal Model integrated in a building simulation environment and the adaptive control algorithm ACA as an example of the adaptive comfort methods are described and applied to a test case. Results show how HTM, aPMV and ACA allow for more flexibility of the indoor conditions than the Fanger's PMV method. These flexible conditions would mean that unnecessary heating and cooling could be avoided in situations where there is still an acceptable degree of satisfaction with the indoor environment. These approaches would therefore help for an assessment in the context of sustainable building assessment, where satisfactory indoor conditions are sought, while ensuring low energy use and running costs and therefore improving environmental and economic performance of the building.
    Original languageEnglish
    Pages (from-to)60-70
    JournalBuilding and Environment
    Volume71
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Thermal comfort
    building
    Cooling
    Specifications
    Heating
    Economics
    Costs
    voter
    heat pump
    energy use
    flexibility
    EU
    Hot Temperature
    comparison
    method
    heating
    cooling
    energy
    simulation
    costs

    Keywords

    • adaptive comfort
    • human thermal model
    • sustainable building
    • thermal comfort
    • thermal sensation

    Cite this

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    title = "Comfort assessment in the context of sustainable buildings: Comparison of simplified and detailed human thermal sensation methods",
    abstract = "This paper, based on research conducted under the EU FP7 {"}SuPerBuildings{"} project, presents current practice and approaches to comfort assessment and specification. The paper compares and discusses the results of different methods used for the calculation of thermal comfort: Fanger's PMV method, the adaptive predicted mean vote (aPMV) method, a Human Thermal Model integrated in a building simulation environment and the adaptive control algorithm ACA as an example of the adaptive comfort methods are described and applied to a test case. Results show how HTM, aPMV and ACA allow for more flexibility of the indoor conditions than the Fanger's PMV method. These flexible conditions would mean that unnecessary heating and cooling could be avoided in situations where there is still an acceptable degree of satisfaction with the indoor environment. These approaches would therefore help for an assessment in the context of sustainable building assessment, where satisfactory indoor conditions are sought, while ensuring low energy use and running costs and therefore improving environmental and economic performance of the building.",
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    author = "Riikka Holopainen and Pekka Tuomaala and P. Hernandez and Tarja H{\"a}kkinen and Kalevi Piira and Jouko Piippo",
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    Comfort assessment in the context of sustainable buildings : Comparison of simplified and detailed human thermal sensation methods. / Holopainen, Riikka (Corresponding Author); Tuomaala, Pekka; Hernandez, P.; Häkkinen, Tarja; Piira, Kalevi; Piippo, Jouko.

    In: Building and Environment, Vol. 71, 2014, p. 60-70.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

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    T2 - Comparison of simplified and detailed human thermal sensation methods

    AU - Holopainen, Riikka

    AU - Tuomaala, Pekka

    AU - Hernandez, P.

    AU - Häkkinen, Tarja

    AU - Piira, Kalevi

    AU - Piippo, Jouko

    PY - 2014

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