Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy Model

A climate resilient city, perforce, has an efficient and robust energy infrastructure that can harvest local energy resources and match energy sources and sinks that vary over space and time. This paper explores the use of an urban building energy model (UBEM) to examine the potential for creating a...

Full description

Bibliographic Details
Main Authors: Niall Buckley, Gerald Mills, Samuel Letellier-Duchesne, Khadija Benis
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
UMI
Online Access:https://www.mdpi.com/1996-1073/14/15/4445
id doaj-8ca6a394dd05498ea5ca408d1e4052a3
record_format Article
spelling doaj-8ca6a394dd05498ea5ca408d1e4052a32021-08-06T15:21:35ZengMDPI AGEnergies1996-10732021-07-01144445444510.3390/en14154445Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy ModelNiall Buckley0Gerald Mills1Samuel Letellier-Duchesne2Khadija Benis3School of Geography, University College Dublin, D04 V1W8 Dublin, IrelandSchool of Geography, University College Dublin, D04 V1W8 Dublin, IrelandSustainable Design Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USASustainable Design Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USAA climate resilient city, perforce, has an efficient and robust energy infrastructure that can harvest local energy resources and match energy sources and sinks that vary over space and time. This paper explores the use of an urban building energy model (UBEM) to examine the potential for creating a near-zero carbon neighbourhood in Dublin (Ireland) that is characterised by diverse land-uses and old and new building stock. UBEMs are a relatively new tool that allows the simulation of building energy demand across an urbanised landscape and can account for building layout, including the effects of overshadowing and the potential for facade retrofits and energy generation. In this research, a novel geographic database of buildings is created using archetypes, and the associated information on dimensions, fabric and energy systems is integrated into the Urban Modelling Interface (UMI). The model is used to simulate current and future energy demand based on climate change projections and to test scenarios that apply retrofits to the existing stock and that link proximate land-uses and land-covers. The latter allows a significant decoupling of the neighbourhood from an offsite electricity generation station with a high carbon output. The findings of this paper demonstrate that treating neighbourhoods as single energy entities rather than collections of individual sectors allows the development of bespoke carbon reducing scenarios that are geographically situated. The work shows the value of a neighbourhood-based approach to energy management using UBEMs.https://www.mdpi.com/1996-1073/14/15/4445UBEMUMIzero-carbonclimate resiliencedigital twinrenewables
collection DOAJ
language English
format Article
sources DOAJ
author Niall Buckley
Gerald Mills
Samuel Letellier-Duchesne
Khadija Benis
spellingShingle Niall Buckley
Gerald Mills
Samuel Letellier-Duchesne
Khadija Benis
Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy Model
Energies
UBEM
UMI
zero-carbon
climate resilience
digital twin
renewables
author_facet Niall Buckley
Gerald Mills
Samuel Letellier-Duchesne
Khadija Benis
author_sort Niall Buckley
title Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy Model
title_short Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy Model
title_full Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy Model
title_fullStr Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy Model
title_full_unstemmed Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy Model
title_sort designing an energy-resilient neighbourhood using an urban building energy model
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-07-01
description A climate resilient city, perforce, has an efficient and robust energy infrastructure that can harvest local energy resources and match energy sources and sinks that vary over space and time. This paper explores the use of an urban building energy model (UBEM) to examine the potential for creating a near-zero carbon neighbourhood in Dublin (Ireland) that is characterised by diverse land-uses and old and new building stock. UBEMs are a relatively new tool that allows the simulation of building energy demand across an urbanised landscape and can account for building layout, including the effects of overshadowing and the potential for facade retrofits and energy generation. In this research, a novel geographic database of buildings is created using archetypes, and the associated information on dimensions, fabric and energy systems is integrated into the Urban Modelling Interface (UMI). The model is used to simulate current and future energy demand based on climate change projections and to test scenarios that apply retrofits to the existing stock and that link proximate land-uses and land-covers. The latter allows a significant decoupling of the neighbourhood from an offsite electricity generation station with a high carbon output. The findings of this paper demonstrate that treating neighbourhoods as single energy entities rather than collections of individual sectors allows the development of bespoke carbon reducing scenarios that are geographically situated. The work shows the value of a neighbourhood-based approach to energy management using UBEMs.
topic UBEM
UMI
zero-carbon
climate resilience
digital twin
renewables
url https://www.mdpi.com/1996-1073/14/15/4445
work_keys_str_mv AT niallbuckley designinganenergyresilientneighbourhoodusinganurbanbuildingenergymodel
AT geraldmills designinganenergyresilientneighbourhoodusinganurbanbuildingenergymodel
AT samuelletellierduchesne designinganenergyresilientneighbourhoodusinganurbanbuildingenergymodel
AT khadijabenis designinganenergyresilientneighbourhoodusinganurbanbuildingenergymodel
_version_ 1721218720416661504