Model of a hybrid distributed generation system for a DC nano-grid

Detalhes bibliográficos
Autor(a) principal: Ibarra Caicedo, Marcos Rodrigo
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: spa
Título da fonte: Sapienza (Curitiba)
Texto Completo: https://journals.sapienzaeditorial.com/index.php/SIJIS/article/view/481
Resumo:  A large part of the world's population lives in geographically isolated, remote and sparsely populated rural areas. Nanogrids using hybrid energy systems (HES) based on photovoltaics (PV) and wind farms are considered an effective option to electrify remote and isolated areas that are far from conventional grids. This is applicable to areas that receive high average solar radiation and sufficient average wind speed annually. In this research, a solar photovoltaic and wind hybrid DC nanogrid, with energy storage and a diesel generator, was modeled, simulated and optimized. A site survey was carried out and wind resource and solar radiation data were obtained to calculate the load. solar system for load forecasting and system modelling. HOMER software was used for system modeling. system. The optimization of the minimum cost of the system was carried out from the installation, taking into account the costs of the system components, the hourly solar radiation and the qualification parameters as inputs in the simulation program. Sensitivity variables were specified to examine the effect of their uncertainties on system performance. The economic and environmental analysis indicated that it is more advisable to electrify remote settlements using a DC nano-grid based on hybrid systems with multiple renewable sources, as they have lower running costs and are more environmentally friendly due to less reliance on electricity generating units. diesel. of diesel generation units.
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spelling Model of a hybrid distributed generation system for a DC nano-gridModelo de un sistema híbrido de generación distribuida para una nano-red de CCModelo de um sistema híbrido de geração distribuída para uma nano-rede DCGeração de distribuição, Sistemas híbridos de energia, Nano grids, Otimização, Solar-PVDistribution generation, Hybrid power systems, Nano grids, Optimization, Solar-PVGeneración de distribución, Sistemas de energía híbridos, Nano redes, Optimización, Solar-PV A large part of the world's population lives in geographically isolated, remote and sparsely populated rural areas. Nanogrids using hybrid energy systems (HES) based on photovoltaics (PV) and wind farms are considered an effective option to electrify remote and isolated areas that are far from conventional grids. This is applicable to areas that receive high average solar radiation and sufficient average wind speed annually. In this research, a solar photovoltaic and wind hybrid DC nanogrid, with energy storage and a diesel generator, was modeled, simulated and optimized. A site survey was carried out and wind resource and solar radiation data were obtained to calculate the load. solar system for load forecasting and system modelling. HOMER software was used for system modeling. system. The optimization of the minimum cost of the system was carried out from the installation, taking into account the costs of the system components, the hourly solar radiation and the qualification parameters as inputs in the simulation program. Sensitivity variables were specified to examine the effect of their uncertainties on system performance. The economic and environmental analysis indicated that it is more advisable to electrify remote settlements using a DC nano-grid based on hybrid systems with multiple renewable sources, as they have lower running costs and are more environmentally friendly due to less reliance on electricity generating units. diesel. of diesel generation units. Una gran parte de la población mundial vive en zonas rurales geográficamente aisladas, remotas y escasamente pobladas. Las nano redes que emplean sistemas energéticos híbridos (HES) basados en la energía fotovoltaica (FV) y los parques eólicos se consideran una opción eficaz para electrificar zonas remotas y aisladas que están lejos de las redes convencionales. Esto es aplicable a zonas que reciben altos promedios de radiación solar y suficiente velocidad media velocidad del viento anualmente. En esta investigación, se modeló, simuló y optimizó una nano red de CC híbrida solar fotovoltaica y eólica, con almacenamiento de energía y un generador diésel de. Se realizó un estudio del emplazamiento y se obtuvieron datos sobre el recurso eólico y la radiación solar para calcular la carga. solar para la previsión de la carga y la modelización del sistema. Se utilizó el software HOMER para la modelización del sistema. sistema. La optimización del coste mínimo del sistema se llevó a cabo de la instalación, teniendo en cuenta los costes de los componentes del sistema, la radiación solar horaria y los parámetros de calificación como entradas en el programa de simulación. Se especificaron las variables de sensibilidad para examinar el efecto de sus incertidumbres en el rendimiento del sistema. El análisis económico y medioambiental indicó que es más aconsejable electrificar los asentamientos remotos utilizando una nano red de CC basada en sistemas híbridos con múltiples fuentes renovables, ya que tienen menores costes de funcionamiento y son más ambiental debido a la menor dependencia de las unidades generadoras de diésel. de las unidades de generación diesel. Uma grande parte da população mundial vive em áreas rurais geograficamente isoladas, remotas e escassamente povoadas. As nanorredes usando sistemas de energia híbrida (HES) baseados em energia fotovoltaica (PV) e parques eólicos são consideradas uma opção eficaz para eletrificar áreas remotas e isoladas que estão longe das redes convencionais. Isso é aplicável a áreas que recebem alta radiação solar média e velocidade média do vento suficiente anualmente. Nesta pesquisa, uma nanorrede CC híbrida solar fotovoltaica e eólica, com armazenamento de energia e um gerador a diesel, foi modelada, simulada e otimizada. Foi realizado um levantamento do local e obtidos dados de recursos eólicos e de radiação solar para o cálculo da carga. sistema solar para previsão de carga e modelagem do sistema. O software HOMER foi usado para modelagem do sistema. sistema. A otimização do custo mínimo do sistema foi realizada a partir da instalação, levando em consideração os custos dos componentes do sistema, a radiação solar horária e os parâmetros de qualificação como entradas no programa de simulação. Variáveis ​​de sensibilidade foram especificadas para examinar o efeito de suas incertezas no desempenho do sistema. A análise económica e ambiental indicou que é mais aconselhável eletrificar os assentamentos remotos usando uma nano-rede DC baseada em sistemas híbridos com múltiplas fontes renováveis, pois têm custos de funcionamento mais baixos e são mais ecológicos devido à menor dependência de unidades geradoras de eletricidade. diesel. de unidades de geração a diesel.Sapienza Grupo Editorial2022-09-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://journals.sapienzaeditorial.com/index.php/SIJIS/article/view/48110.51798/sijis.v3i6.481Sapienza: International Journal of Interdisciplinary Studies; Vol. 3 No. 6 (2022): Interdisciplinary contributions in technology and society; 58-72Sapienza: International Journal of Interdisciplinary Studies; Vol. 3 Núm. 6 (2022): Aportes interdisciplinarios en tecnología y sociedad; 58-72Sapienza: International Journal of Interdisciplinary Studies; v. 3 n. 6 (2022): Contribuições interdisciplinares em tecnologia e sociedade; 58-722675-978010.51798/sijis.v3i6reponame:Sapienza (Curitiba)instname:Sapienza Grupo Editorialinstacron:SAPIENZAspahttps://journals.sapienzaeditorial.com/index.php/SIJIS/article/view/481/323Copyright (c) 2022 Marcos Rodrigo Ibarra Caicedohttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessIbarra Caicedo, Marcos Rodrigo 2022-09-15T02:37:12Zoai:ojs2.journals.sapienzaeditorial.com:article/481Revistahttps://journals.sapienzaeditorial.com/index.php/SIJISPRIhttps://journals.sapienzaeditorial.com/index.php/SIJIS/oaieditor@sapienzaeditorial.com2675-97802675-9780opendoar:2023-01-12T16:43:01.799689Sapienza (Curitiba) - Sapienza Grupo Editorialfalse
dc.title.none.fl_str_mv Model of a hybrid distributed generation system for a DC nano-grid
Modelo de un sistema híbrido de generación distribuida para una nano-red de CC
Modelo de um sistema híbrido de geração distribuída para uma nano-rede DC
title Model of a hybrid distributed generation system for a DC nano-grid
spellingShingle Model of a hybrid distributed generation system for a DC nano-grid
Ibarra Caicedo, Marcos Rodrigo
Geração de distribuição, Sistemas híbridos de energia, Nano grids, Otimização, Solar-PV
Distribution generation, Hybrid power systems, Nano grids, Optimization, Solar-PV
Generación de distribución, Sistemas de energía híbridos, Nano redes, Optimización, Solar-PV
title_short Model of a hybrid distributed generation system for a DC nano-grid
title_full Model of a hybrid distributed generation system for a DC nano-grid
title_fullStr Model of a hybrid distributed generation system for a DC nano-grid
title_full_unstemmed Model of a hybrid distributed generation system for a DC nano-grid
title_sort Model of a hybrid distributed generation system for a DC nano-grid
author Ibarra Caicedo, Marcos Rodrigo
author_facet Ibarra Caicedo, Marcos Rodrigo
author_role author
dc.contributor.author.fl_str_mv Ibarra Caicedo, Marcos Rodrigo
dc.subject.por.fl_str_mv Geração de distribuição, Sistemas híbridos de energia, Nano grids, Otimização, Solar-PV
Distribution generation, Hybrid power systems, Nano grids, Optimization, Solar-PV
Generación de distribución, Sistemas de energía híbridos, Nano redes, Optimización, Solar-PV
topic Geração de distribuição, Sistemas híbridos de energia, Nano grids, Otimização, Solar-PV
Distribution generation, Hybrid power systems, Nano grids, Optimization, Solar-PV
Generación de distribución, Sistemas de energía híbridos, Nano redes, Optimización, Solar-PV
description  A large part of the world's population lives in geographically isolated, remote and sparsely populated rural areas. Nanogrids using hybrid energy systems (HES) based on photovoltaics (PV) and wind farms are considered an effective option to electrify remote and isolated areas that are far from conventional grids. This is applicable to areas that receive high average solar radiation and sufficient average wind speed annually. In this research, a solar photovoltaic and wind hybrid DC nanogrid, with energy storage and a diesel generator, was modeled, simulated and optimized. A site survey was carried out and wind resource and solar radiation data were obtained to calculate the load. solar system for load forecasting and system modelling. HOMER software was used for system modeling. system. The optimization of the minimum cost of the system was carried out from the installation, taking into account the costs of the system components, the hourly solar radiation and the qualification parameters as inputs in the simulation program. Sensitivity variables were specified to examine the effect of their uncertainties on system performance. The economic and environmental analysis indicated that it is more advisable to electrify remote settlements using a DC nano-grid based on hybrid systems with multiple renewable sources, as they have lower running costs and are more environmentally friendly due to less reliance on electricity generating units. diesel. of diesel generation units.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://journals.sapienzaeditorial.com/index.php/SIJIS/article/view/481
10.51798/sijis.v3i6.481
url https://journals.sapienzaeditorial.com/index.php/SIJIS/article/view/481
identifier_str_mv 10.51798/sijis.v3i6.481
dc.language.iso.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://journals.sapienzaeditorial.com/index.php/SIJIS/article/view/481/323
dc.rights.driver.fl_str_mv Copyright (c) 2022 Marcos Rodrigo Ibarra Caicedo
https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Marcos Rodrigo Ibarra Caicedo
https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Sapienza Grupo Editorial
publisher.none.fl_str_mv Sapienza Grupo Editorial
dc.source.none.fl_str_mv Sapienza: International Journal of Interdisciplinary Studies; Vol. 3 No. 6 (2022): Interdisciplinary contributions in technology and society; 58-72
Sapienza: International Journal of Interdisciplinary Studies; Vol. 3 Núm. 6 (2022): Aportes interdisciplinarios en tecnología y sociedad; 58-72
Sapienza: International Journal of Interdisciplinary Studies; v. 3 n. 6 (2022): Contribuições interdisciplinares em tecnologia e sociedade; 58-72
2675-9780
10.51798/sijis.v3i6
reponame:Sapienza (Curitiba)
instname:Sapienza Grupo Editorial
instacron:SAPIENZA
instname_str Sapienza Grupo Editorial
instacron_str SAPIENZA
institution SAPIENZA
reponame_str Sapienza (Curitiba)
collection Sapienza (Curitiba)
repository.name.fl_str_mv Sapienza (Curitiba) - Sapienza Grupo Editorial
repository.mail.fl_str_mv editor@sapienzaeditorial.com
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