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REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South
Future cities of the Global South will not only rapidly urbanise but will also get warmer from climate change and urbanisation induced effects. It will trigger a multi-fold increase in cooling demand, especially at a residential level, mitigation to which remains a policy and research gap. This stud...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493751/ https://www.ncbi.nlm.nih.gov/pubmed/33014694 http://dx.doi.org/10.1016/j.scs.2020.102315 |
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author | Bardhan, Ronita Debnath, Ramit Gama, Joao Vijay, Upadhi |
author_facet | Bardhan, Ronita Debnath, Ramit Gama, Joao Vijay, Upadhi |
author_sort | Bardhan, Ronita |
collection | PubMed |
description | Future cities of the Global South will not only rapidly urbanise but will also get warmer from climate change and urbanisation induced effects. It will trigger a multi-fold increase in cooling demand, especially at a residential level, mitigation to which remains a policy and research gap. This study forwards a novel residential energy stress mitigation framework called REST to estimate warming climate-induced energy stress in residential buildings using a GIS-driven urban heat island and energy modelling approach. REST further estimates rooftop solar potential to enable solar photo-voltaic (PV) based decentralised energy solutions and establish an optimised routine for peer-to-peer energy sharing at a neighbourhood scale. The optimised network is classified through a decision tree algorithm to derive sustainability rules for mitigating energy stress at an urban planning scale. These sustainability rules established distributive energy justice variables in urban planning context. The REST framework is applied as a proof-of-concept on a future smart city of India, named Amaravati. Results show that cooling energy stress can be reduced by 80 % in the study area through sensitive use of planning variables like Floor Space Index (FSI) and built-up density. It has crucial policy implications towards the design and implementation of a national level cooling action plans in the future cities of the Global South to meet the UN-SDG – 7 (clean and affordable energy) and SDG – 11 (sustainable cities and communities) targets. |
format | Online Article Text |
id | pubmed-7493751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74937512020-10-01 REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South Bardhan, Ronita Debnath, Ramit Gama, Joao Vijay, Upadhi Sustain Cities Soc Article Future cities of the Global South will not only rapidly urbanise but will also get warmer from climate change and urbanisation induced effects. It will trigger a multi-fold increase in cooling demand, especially at a residential level, mitigation to which remains a policy and research gap. This study forwards a novel residential energy stress mitigation framework called REST to estimate warming climate-induced energy stress in residential buildings using a GIS-driven urban heat island and energy modelling approach. REST further estimates rooftop solar potential to enable solar photo-voltaic (PV) based decentralised energy solutions and establish an optimised routine for peer-to-peer energy sharing at a neighbourhood scale. The optimised network is classified through a decision tree algorithm to derive sustainability rules for mitigating energy stress at an urban planning scale. These sustainability rules established distributive energy justice variables in urban planning context. The REST framework is applied as a proof-of-concept on a future smart city of India, named Amaravati. Results show that cooling energy stress can be reduced by 80 % in the study area through sensitive use of planning variables like Floor Space Index (FSI) and built-up density. It has crucial policy implications towards the design and implementation of a national level cooling action plans in the future cities of the Global South to meet the UN-SDG – 7 (clean and affordable energy) and SDG – 11 (sustainable cities and communities) targets. Elsevier 2020-10 /pmc/articles/PMC7493751/ /pubmed/33014694 http://dx.doi.org/10.1016/j.scs.2020.102315 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bardhan, Ronita Debnath, Ramit Gama, Joao Vijay, Upadhi REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South |
title | REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South |
title_full | REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South |
title_fullStr | REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South |
title_full_unstemmed | REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South |
title_short | REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South |
title_sort | rest framework: a modelling approach towards cooling energy stress mitigation plans for future cities in warming global south |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493751/ https://www.ncbi.nlm.nih.gov/pubmed/33014694 http://dx.doi.org/10.1016/j.scs.2020.102315 |
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