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  5. High Resolution Space - Time Data: Methodology for Residential Building Simulation Modelling
 
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High Resolution Space - Time Data: Methodology for Residential Building Simulation Modelling

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Author(s)
Neu, Olivier 
Oxizidis, Simeon 
Flynn, Damian 
Pallonetto, Fabiano 
Finn, Donal 
Uri
http://hdl.handle.net/10197/8134
Date Issued
28 August 2013
Date Available
21T15:17:52Z November 2016
Abstract
A bottom-up approach is developed for the specification of operational data with a high spacetime 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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
International Building Performance Simulation Association (IBPSA)
Keywords
  • Energy models

  • Building energy simul...

Web versions
http://www.ibpsa.org/proceedings/bs2013/p_2009.pdf
Language
English
Status of Item
Peer reviewed
Part of
Wurtz, E. (ed.). Proceedings of BS2013: 13th Conference of International Building Performance Simulation Association, Chambéry, France, August 26-28
Description
13th International Building Performance Simulation Association (Building Simulation 2013), Chambéry, France, 25-28 August 2013
ISBN
9781629939988
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Electrical and Electronic Engineering Research Collection
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1996
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Acquisition Date
Jan 26, 2023
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259
Acquisition Date
Jan 26, 2023
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