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Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants
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 focus...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050704/ https://www.ncbi.nlm.nih.gov/pubmed/33889691 http://dx.doi.org/10.1016/j.dib.2021.106986 |
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author | da Silva, Fellipe Sartori Matelli, José Alexandre |
author_facet | da Silva, Fellipe Sartori Matelli, José Alexandre |
author_sort | da Silva, Fellipe Sartori |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8050704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80507042021-04-21 Script for resilience analysis in energy systems: Python programming code and partial associated data of four cogeneration plants da Silva, Fellipe Sartori Matelli, José Alexandre Data Brief Data Article 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. Elsevier 2021-03-23 /pmc/articles/PMC8050704/ /pubmed/33889691 http://dx.doi.org/10.1016/j.dib.2021.106986 Text en © 2021 The Authors https://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 | Data Article da Silva, Fellipe Sartori Matelli, José Alexandre 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 |
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_short | 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 |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050704/ https://www.ncbi.nlm.nih.gov/pubmed/33889691 http://dx.doi.org/10.1016/j.dib.2021.106986 |
work_keys_str_mv | AT dasilvafellipesartori scriptforresilienceanalysisinenergysystemspythonprogrammingcodeandpartialassociateddataoffourcogenerationplants AT matellijosealexandre scriptforresilienceanalysisinenergysystemspythonprogrammingcodeandpartialassociateddataoffourcogenerationplants |