High resolution space - time data: methodology for residential building simulation modelling

Olivier Neu, Simeon Oxyzidis, Damian Flynn, Fabiano Palloneto, Donal Finn

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

A bottom-up approach is developed for the specification of operational data with a high space-time resolution, to be used as inputs in multi-zone residential building models. These archetype models will be used to analyse demand modulation of total domestic electricity consumption, thus requiring a detailed knowledge of domestic loads. The approach is based on national Time-Use Survey (TUS) resident activity data. To illustrate the approach, the EnergyPlus simulation platform is used to model a multi-zone case study building. Occupancy profiles, lighting load and disaggregated electrical appliance load profiles, as well as their associated heat gains, are generated and spatially mapped within the building. A good match is seen between synthesised and measured profiles. A greater sharing of electrical appliances, as the household size increases, is also seen. Fifteen-minute resolution of the model outputs is found to be sensible in the context of the current project, due to aggregation.
Original languageEnglish
Title of host publicationProceedings of BS2013: 13th Conference of International Building Performance Simulation Association
Place of PublicationChambéry, France
PublisherIBPSA
Pages2428-2435
Number of pages8
Publication statusPublished - 15 Sep 2013
EventProceedings of BS2013: 13th Conference of International Building Performance Simulation Association - Chambéry, France, 25th - 28th August 2013
Duration: 15 Sep 2013 → …

Conference

ConferenceProceedings of BS2013: 13th Conference of International Building Performance Simulation Association
Period15/09/13 → …

Bibliographical note

© 2013 The authors

Fingerprint Dive into the research topics of 'High resolution space - time data: methodology for residential building simulation modelling'. Together they form a unique fingerprint.

Cite this