Domestic Hot Water Profiles for Energy Calculation in Finnish Residential Buildings

    Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

    Abstract

    The information of domestic hot water (DHW) consumption is important to identify the delivered energy for building sector. Daily basis hourly profile, daily profile, weekday and weekend profile, monthly profile might be helpful to optimize the required DHW consumption which further useful document for energy optimization and system designer. This paper has shown the investigated result of 182 Finnish residential apartments and draws a monthly, weekdays and weekend basis DHW profile. The finding also correlated with some factors such as occupant number, seasonal variation, behavioral approach, weather condition. The average consumption for January to December is noted 47 liter/person/day which are also varied based on monthly, weekdays and weekends weighted average factor. Higher consumption of DWH is observed during November to February whereas opposite behavior is observed during May to July. In addition, the hourly profiles for weekdays and weekend are different and DHW consumption is higher during weekdays. Most frequent DHW consumption is observed from 20 to 60 (L/person/day) and the ratio of hot to cold water is varied from 0.3 to 0.5. The obtained profiles will give an idea about the scenario of DHW consumption during the different months as well as variances of weekday and weekend.
    Original languageEnglish
    Title of host publicationYoung researcher conference on Energy efficiency
    Number of pages8
    Publication statusPublished - 2015
    MoE publication typeD3 Professional conference proceedings
    EventWorld Sustainable Energy Days - Wels, Austria
    Duration: 25 Feb 201527 Feb 2015

    Conference

    ConferenceWorld Sustainable Energy Days
    Country/TerritoryAustria
    CityWels
    Period25/02/201527/02/2015

    Keywords

    • Residential building
    • DHW
    • Monthly factor
    • Weekdays and weekend factor

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