Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants
| Main Author: | |
|---|---|
| Publication Date: | 2021 |
| Other Authors: | |
| Language: | eng |
| Source: | Repositório Institucional da UNESP |
| Download full: | http://dx.doi.org/10.1016/j.dib.2021.106986 http://hdl.handle.net/11449/233115 |
Summary: | This article presents a script developed to evaluate resilience in energy systems. The files corresponding to the system description, simulation and metrics calculation are included in the dataset, as well as partial raw and processed data from the associated paper [1]. The model was developed focusing on covering all cogeneration and power plants, being the user responsible for describing the system, simulating and processing the data in the files here available. In the present work, the steps for the simulation are presented in detail, which contributes to other researchers that are interested in either adopting resilience as one of the possible system analyses or understanding the processes of metrics calculation of the associated paper. |
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Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plantsCogenerationEnergy systemResilienceSystem designThis article presents a script developed to evaluate resilience in energy systems. The files corresponding to the system description, simulation and metrics calculation are included in the dataset, as well as partial raw and processed data from the associated paper [1]. The model was developed focusing on covering all cogeneration and power plants, being the user responsible for describing the system, simulating and processing the data in the files here available. In the present work, the steps for the simulation are presented in detail, which contributes to other researchers that are interested in either adopting resilience as one of the possible system analyses or understanding the processes of metrics calculation of the associated paper.São Paulo State University School of Engineering Department of Chemistry and EnergySão Paulo State University School of Engineering Department of Chemistry and EnergyUniversidade Estadual Paulista (UNESP)da Silva, Fellipe Sartori [UNESP]Matelli, José Alexandre [UNESP]2022-05-01T03:42:52Z2022-05-01T03:42:52Z2021-06-01Data paperinfo:eu-repo/semantics/publishedVersionhttp://dx.doi.org/10.1016/j.dib.2021.106986Data in Brief, v. 36.2352-3409http://hdl.handle.net/11449/23311510.1016/j.dib.2021.1069862-s2.0-85103729448Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengData in Briefinfo:eu-repo/semantics/openAccess2024-07-01T19:30:12Zoai:repositorio.unesp.br:11449/233115Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-07-01T19:30:12Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
| dc.title.none.fl_str_mv |
Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants |
| title |
Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants |
| spellingShingle |
Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants da Silva, Fellipe Sartori [UNESP] Cogeneration Energy system Resilience System design |
| title_short |
Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants |
| title_full |
Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants |
| title_fullStr |
Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants |
| title_full_unstemmed |
Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants |
| title_sort |
Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants |
| author |
da Silva, Fellipe Sartori [UNESP] |
| author_facet |
da Silva, Fellipe Sartori [UNESP] Matelli, José Alexandre [UNESP] |
| author_role |
author |
| author2 |
Matelli, José Alexandre [UNESP] |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
| dc.contributor.author.fl_str_mv |
da Silva, Fellipe Sartori [UNESP] Matelli, José Alexandre [UNESP] |
| dc.subject.por.fl_str_mv |
Cogeneration Energy system Resilience System design |
| topic |
Cogeneration Energy system Resilience System design |
| description |
This article presents a script developed to evaluate resilience in energy systems. The files corresponding to the system description, simulation and metrics calculation are included in the dataset, as well as partial raw and processed data from the associated paper [1]. The model was developed focusing on covering all cogeneration and power plants, being the user responsible for describing the system, simulating and processing the data in the files here available. In the present work, the steps for the simulation are presented in detail, which contributes to other researchers that are interested in either adopting resilience as one of the possible system analyses or understanding the processes of metrics calculation of the associated paper. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-06-01 2022-05-01T03:42:52Z 2022-05-01T03:42:52Z |
| dc.type.driver.fl_str_mv |
Data paper |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.dib.2021.106986 Data in Brief, v. 36. 2352-3409 http://hdl.handle.net/11449/233115 10.1016/j.dib.2021.106986 2-s2.0-85103729448 |
| url |
http://dx.doi.org/10.1016/j.dib.2021.106986 http://hdl.handle.net/11449/233115 |
| identifier_str_mv |
Data in Brief, v. 36. 2352-3409 10.1016/j.dib.2021.106986 2-s2.0-85103729448 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
Data in Brief |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
| instname_str |
Universidade Estadual Paulista (UNESP) |
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UNESP |
| institution |
UNESP |
| reponame_str |
Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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repositoriounesp@unesp.br |
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1854948288958038016 |