A Review of Energy Modeling Tools for Energy Efficiency in Smart Cities

Bibliographic Details
Main Author: Martins, Fernando
Publication Date: 2021
Other Authors: Patrão, Carlos, Moura, Pedro, Almeida, Aníbal T. de
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.
id RCAP_a3e037928d1d1ea09b54fafc7f11eeac
oai_identifier_str oai:estudogeral.uc.pt:10316/105473
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling 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 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602521106481152