A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities
Main Author: | |
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Publication Date: | 2021 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10316/105473 https://doi.org/10.3390/smartcities4040075 |
Summary: | Nowadays, modeling tools are a crucial part of best practice in the elaboration and implementation of a decarbonization plan in any organization, city, or country. The present review analyzes the different modeling tools available to assess energy systems in smart cities. It creates an updated overview of the modeling tools currently available, showing their capabilities and main potential outputs when considering the energy efficiency objective in the context of smart cities in Europe. A restricted set of 14 tools are identified which optimally fulfill the modeling mission of the energy sector, in a smart city context, for different time horizons. The selection considers the capability to include decarbonization assessments, namely, by considering the flexibility to use different external factors, energy policies, technologies, and mainly the implementation of Article 7 from the Energy Efficiency Directive and the “energy efficiency first” principle defined by the European Commission. The ELECTRE TRI method was used to implement a multi-criteria decision approach for sorting modeling tools, aiming at distributing the various alternatives by previously defined categories, and considering the performance criteria of each alternative modeling tool, the analysis suggests that the best options are the LEAP, MESSAGEix, and oemof tools. |
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A Review of Energy Modeling Tools for Energy Efficiency in Smart Citiesmodeling toolssmart citiesdecarbonizationelectrificationenergy efficiencyNowadays, modeling tools are a crucial part of best practice in the elaboration and implementation of a decarbonization plan in any organization, city, or country. The present review analyzes the different modeling tools available to assess energy systems in smart cities. It creates an updated overview of the modeling tools currently available, showing their capabilities and main potential outputs when considering the energy efficiency objective in the context of smart cities in Europe. A restricted set of 14 tools are identified which optimally fulfill the modeling mission of the energy sector, in a smart city context, for different time horizons. The selection considers the capability to include decarbonization assessments, namely, by considering the flexibility to use different external factors, energy policies, technologies, and mainly the implementation of Article 7 from the Energy Efficiency Directive and the “energy efficiency first” principle defined by the European Commission. The ELECTRE TRI method was used to implement a multi-criteria decision approach for sorting modeling tools, aiming at distributing the various alternatives by previously defined categories, and considering the performance criteria of each alternative modeling tool, the analysis suggests that the best options are the LEAP, MESSAGEix, and oemof tools.MDPI2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://hdl.handle.net/10316/105473https://hdl.handle.net/10316/105473https://doi.org/10.3390/smartcities4040075eng2624-6511Martins, FernandoPatrão, CarlosMoura, PedroAlmeida, Aníbal T. deinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2023-03-01T12:37:02Zoai:estudogeral.uc.pt:10316/105473Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:55:56.843917Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities |
title |
A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities |
spellingShingle |
A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities Martins, Fernando modeling tools smart cities decarbonization electrification energy efficiency |
title_short |
A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities |
title_full |
A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities |
title_fullStr |
A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities |
title_full_unstemmed |
A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities |
title_sort |
A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities |
author |
Martins, Fernando |
author_facet |
Martins, Fernando Patrão, Carlos Moura, Pedro Almeida, Aníbal T. de |
author_role |
author |
author2 |
Patrão, Carlos Moura, Pedro Almeida, Aníbal T. de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Martins, Fernando Patrão, Carlos Moura, Pedro Almeida, Aníbal T. de |
dc.subject.por.fl_str_mv |
modeling tools smart cities decarbonization electrification energy efficiency |
topic |
modeling tools smart cities decarbonization electrification energy efficiency |
description |
Nowadays, modeling tools are a crucial part of best practice in the elaboration and implementation of a decarbonization plan in any organization, city, or country. The present review analyzes the different modeling tools available to assess energy systems in smart cities. It creates an updated overview of the modeling tools currently available, showing their capabilities and main potential outputs when considering the energy efficiency objective in the context of smart cities in Europe. A restricted set of 14 tools are identified which optimally fulfill the modeling mission of the energy sector, in a smart city context, for different time horizons. The selection considers the capability to include decarbonization assessments, namely, by considering the flexibility to use different external factors, energy policies, technologies, and mainly the implementation of Article 7 from the Energy Efficiency Directive and the “energy efficiency first” principle defined by the European Commission. The ELECTRE TRI method was used to implement a multi-criteria decision approach for sorting modeling tools, aiming at distributing the various alternatives by previously defined categories, and considering the performance criteria of each alternative modeling tool, the analysis suggests that the best options are the LEAP, MESSAGEix, and oemof tools. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10316/105473 https://hdl.handle.net/10316/105473 https://doi.org/10.3390/smartcities4040075 |
url |
https://hdl.handle.net/10316/105473 https://doi.org/10.3390/smartcities4040075 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2624-6511 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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