High resolution modelling for performance assessment of future dwellings

Jon Hand, Nicolas Kelly, Aizaz Samuel

Research output: Contribution to conferencePaper

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Abstract

In future low-energy buildings, electrical power and hot water use will feature prominently in the overall energy demand. Unlike space heating, these demand
constituents are intermittent and vary rapidly over a few seconds. However, most building simulation tools operate at a longer time resolutions, utilising
hourly climate data and so may be unable to properly capture the electrical or hot water demand characteristics. This paper demonstrates means by
which electrical demand/generation and hot water draws can be modelled at higher time resolutions (1-minute) than is usually done at present. An approach
to generating high-resolution climate data is also presented. An illustrative simulation highlighted different outcomes when modelling future buildings
at low and high time resolutions. This showed that (in this case) although the overall energy demands and yields were similar, there discrepancies between
the two temporal resolutions for import, export and self-consumption of electricity of up to 25%.
Original languageEnglish
Number of pages8
Publication statusPublished - 23 Jun 2014
EventBuilding Simulation and Optimisation Conference, BSO '14 - University College London, London, United Kingdom
Duration: 23 Jun 201424 Jun 2014

Conference

ConferenceBuilding Simulation and Optimisation Conference, BSO '14
CountryUnited Kingdom
CityLondon
Period23/06/1424/06/14

Keywords

  • high resolution
  • modelling and assessment
  • performance analysis
  • low carbon building

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  • Activities

    • 1 Participation in conference

    Building Simulation and Optimisation (BSO14)

    Nicolas Kelly (Participant)

    23 Jun 2014

    Activity: Participating in or organising an event typesParticipation in conference

    Cite this

    Hand, J., Kelly, N., & Samuel, A. (2014). High resolution modelling for performance assessment of future dwellings. Paper presented at Building Simulation and Optimisation Conference, BSO '14, London, United Kingdom.