New potential indicators for energy matching at neighbourhood level

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    A set of new key performance indicators (KPIs) is proposed for evaluating the energy positivity level of neighbourhoods. These KPIs include yearly on-site energy ratio (OER) and energy mismatch indicators for each energy type (heating, cooling and electricity). The mismatch indicators include annual mismatch ratio (AMR), maximum hourly surplus (MHS), maximum hourly deficit (MHD) and monthly ratio of peak hourly demand to lowest hourly demand (RPL). This is followed by presenting the results from a number of energy simulations where the indicators are calculated. It can be observed that the threshold or target values for the indicators might be different for different countries/climates. The indicators presented here proved useful in considering the probable configurations for the near future aiming at nearly zero-energy neighbourhoods.
    Original languageEnglish
    Title of host publicationProceedings of the CIB World Building Congress 2016
    Subtitle of host publicationCreating built environments of new opportunities
    EditorsKalle Kähkönen, Marko Keinänen
    Place of PublicationTampere
    PublisherTampere University of Technology
    Pages444 - 455
    Volume1
    ISBN (Print)978-952-15-3740-0, 978-952-15-3741-7
    Publication statusPublished - 2016
    MoE publication typeA4 Article in a conference publication
    EventCIB World Building Congress 2016: Intelligent Built Environment for Life - Tampere Hall, Tampere, Finland
    Duration: 30 May 20163 Jun 2016
    Conference number: 20

    Publication series

    SeriesTampere University of Technology: Department of Civil Engineering: Construction Management and Economics. Report
    Number18
    ISSN1797-8904

    Conference

    ConferenceCIB World Building Congress 2016
    Abbreviated titleWBC16
    Country/TerritoryFinland
    CityTampere
    Period30/05/163/06/16

    Keywords

    • key performance indicators
    • energy matching
    • energy positive
    • neighbourhood

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