Data on reducing carbon footprint in microgrids using distributed battery energy storage

This data presented in this article was collected using simulations on a microgrid system to analyze reduction of carbon footprints using distributed battery storage devices. Analysis was performed over a 24-h period of operation of the microgrid system to reduce the CO(2) emissions from 0% to 100%...

Descripción completa

Detalles Bibliográficos
Autores principales: Khazaei, Javad, Schlauderaff, Colton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Energy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838414/
https://www.ncbi.nlm.nih.gov/pubmed/31720331
http://dx.doi.org/10.1016/j.dib.2019.104679
_version_ 1783467218420367360
author Khazaei, Javad
Schlauderaff, Colton
author_facet Khazaei, Javad
Schlauderaff, Colton
author_sort Khazaei, Javad
collection PubMed
description This data presented in this article was collected using simulations on a microgrid system to analyze reduction of carbon footprints using distributed battery storage devices. Analysis was performed over a 24-h period of operation of the microgrid system to reduce the CO(2) emissions from 0% to 100% using battery storage devices. The data can be used in designing efficient microgrid systems, understanding the potential of battery energy storage devices in future electricity generation, and sizing the microgrid systems depending of the CO(2) reduction goals in power systems.
format Online
Article
Text
id pubmed-6838414
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-68384142019-11-12 Data on reducing carbon footprint in microgrids using distributed battery energy storage Khazaei, Javad Schlauderaff, Colton Data Brief Energy This data presented in this article was collected using simulations on a microgrid system to analyze reduction of carbon footprints using distributed battery storage devices. Analysis was performed over a 24-h period of operation of the microgrid system to reduce the CO(2) emissions from 0% to 100% using battery storage devices. The data can be used in designing efficient microgrid systems, understanding the potential of battery energy storage devices in future electricity generation, and sizing the microgrid systems depending of the CO(2) reduction goals in power systems. Elsevier 2019-10-19 /pmc/articles/PMC6838414/ /pubmed/31720331 http://dx.doi.org/10.1016/j.dib.2019.104679 Text en © 2019 The Author(s) http://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 Energy
Khazaei, Javad
Schlauderaff, Colton
Data on reducing carbon footprint in microgrids using distributed battery energy storage
title Data on reducing carbon footprint in microgrids using distributed battery energy storage
title_full Data on reducing carbon footprint in microgrids using distributed battery energy storage
title_fullStr Data on reducing carbon footprint in microgrids using distributed battery energy storage
title_full_unstemmed Data on reducing carbon footprint in microgrids using distributed battery energy storage
title_short Data on reducing carbon footprint in microgrids using distributed battery energy storage
title_sort data on reducing carbon footprint in microgrids using distributed battery energy storage
topic Energy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838414/
https://www.ncbi.nlm.nih.gov/pubmed/31720331
http://dx.doi.org/10.1016/j.dib.2019.104679
work_keys_str_mv AT khazaeijavad dataonreducingcarbonfootprintinmicrogridsusingdistributedbatteryenergystorage
AT schlauderaffcolton dataonreducingcarbonfootprintinmicrogridsusingdistributedbatteryenergystorage

Ejemplares similares