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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

Author(s)
Neu, Olivier  
Oxizidis, Simeon  
Flynn, Damian  
Pallonetto, Fabiano  
Finn, Donal  
Uri
http://hdl.handle.net/10197/8134
Date Issued
2013-08-28
Date Available
2016-11-21T15:17:52Z
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)
Subjects

Energy models

Building energy simul...

Web versions
http://www.ibpsa.org/proceedings/bs2013/p_2009.pdf
Language
English
Status of Item
Peer reviewed
Journal
Wurtz, E. (ed.). Proceedings of BS2013: 13th Conference of International Building Performance Simulation Association, Chambéry, France, August 26-28
Conference Details
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/
File(s)
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High_Resolution_Space_Time_Data_Methodology.pdf

Size

819.32 KB

Format

Adobe PDF

Checksum (MD5)

2d3c48ae849aca2bf9e25c11ade7e28f

Owning collection
Electrical and Electronic Engineering Research Collection
Mapped collections
ERC Research Collection•
Mechanical & Materials Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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