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  5. GIS-Based Residential Building Energy Modeling at District Scale
 
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GIS-Based Residential Building Energy Modeling at District Scale

Author(s)
Ali, Usman  
Shamsi, Mohammad Haris  
Hoare, Cathal  
O'Donnell, James  
Uri
http://hdl.handle.net/10197/10545
Date Issued
2018-09-12
Date Available
2019-05-20T13:24:46Z
Abstract
Urban planners often develop strategic sustainable energy planning processes that aim to minimize the overall energy consumption and CO2 emissions of buildings. Planning at such scales could be informed by the use of building energy modeling approaches. However, due to inconsistencies in available urban energy data and a lack of scalable building modeling approaches, a gap persists between building energy modeling and traditional planning practices. This paper develops a methodology based on bottom-up approach for GIS-based residential building energy modeling at a district scale. The methodology is applied to districts in Dublin and modeling results indicate where and what type of buildings have the greatest potential for energy savings throughout the city.
Sponsorship
Science Foundation Ireland
Other Sponsorship
ESIPP UCD
Type of Material
Conference Publication
Publisher
International Building Performance Simulation Association
Copyright (Published Version)
2018 the Authors
Subjects

Energy efficiency

Energy modelling

Urban planning

GIS-based modelling

Web versions
https://www.bso2018.event.cam.ac.uk/conference-overview
Language
English
Status of Item
Peer reviewed
Journal
Proceedings of the 4th IBPSA-England Conference on Building Simulation and Optimization, Cambridge, UK: 11-12 September 2018
Conference Details
BSO 2018: 4th IBPSA-England Conference on Building Simulation and Optimization, Cambridge, United Kingdom, 11-12 September 2018
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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2B-2.pdf

Size

4.74 MB

Format

Adobe PDF

Checksum (MD5)

a27fa7393ee08394f91b97c68430b92b

Owning 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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