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...

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Veröffentlicht in:Data in brief Jg. 36; S. 106986
Hauptverfasser: da Silva, Fellipe Sartori, Matelli, José Alexandre
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Netherlands Elsevier Inc 01.06.2021
Elsevier
Schlagworte:
Cogeneration
Data
data collection
energy
Energy system
Resilience
System design
Energy system
System design
Cogeneration
Resilience
ISSN:2352-3409, 2352-3409
Online-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2021.106986