GIS-Based Residential Building Energy Modeling at District Scale
|Title:||GIS-Based Residential Building Energy Modeling at District Scale||Authors:||Ali, Usman; Shamsi, Mohammad Haris; Hoare, Cathal; O'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 efficiency; Energy modelling; Urban planning; GIS-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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