GIS-Based Residential Building Energy Modeling at District Scale

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Title: GIS-Based Residential Building Energy Modeling at District Scale
Authors: Ali, UsmanShamsi, Mohammad HarisHoare, CathalO'Donnell, James
Permanent link: http://hdl.handle.net/10197/10545
Date: 12-Sep-2018
Online since: 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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: International Building Performance Simulation Association
Copyright (published version): 2018 the Authors
Keywords: Energy efficiencyEnergy modellingUrban planningGIS-based modelling
Other versions: https://www.bso2018.event.cam.ac.uk/conference-overview
Language: en
Status of Item: Peer reviewed
Is part of: 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
Appears in Collections:Mechanical & Materials Engineering Research Collection

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